References
Published online by Cambridge University Press: 22 July 2022
Summary
A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
- Type
- Chapter
- Information
- Principles of Statistical AnalysisLearning from Randomized Experiments, pp. 371 - 383Publisher: Cambridge University PressPrint publication year: 2022
References
Agresti, A. and Presnell, B.. Misvotes, undervotes and overvotes: The 2000 presidential election in Florida. Statistical Science, 17(4):436–440, 2002. (Cited on page 141.)Google Scholar
Aguilar, F. M., Nijs, J., Gidron, Y., Roussel, N., Vanderstraeten, R., Van Dyck, D., Huysmans, E., and De Kooning, M.. Auto-targeted neurostimulation is not superior to placebo in chronic low back pain: a fourfold blind randomized clinical trial. Pain Physician, 19(5):E707, 2016. (Cited on page 148.)Google Scholar
Akritas, M. G.. Bootstrapping the Kaplan-Meier estimator. Journal of the American Statistical Association, 81(396):1032–1038, 1986. (Cited on page 258.)Google Scholar
Arceneaux, K., Gerber, A. S., and Green, D. P.. Comparing experimental and matching methods using a large-scale voter mobilization experiment. Political Analysis, 14(1):37–62, 2005. (Cited on page 367.)Google Scholar
Arlot, S. and Celisse, A.. A survey of cross-validation procedures for model selection. Statistics Surveys, 4:40–79, 2010. (Cited on pages 345 and 346.)Google Scholar
Arratia, R., Goldstein, L., and Gordon, L.. Two moments suffice for Poisson approximations: The Chen-Stein method. The Annals of Probability, pages 9–25, 1989. (Cited on page 224.)Google Scholar
Austin, P. C.. A critical appraisal of propensity-score matching in the medical literature between 1996 and 2003. Statistics in Medicine, 27(12):2037–2049, 2008. (Cited on page 367.)Google Scholar
Bassler, D., Montori, V. M., Briel, M., Glasziou, P., and Guyatt, G.. Early stopping of randomized clinical trials for overt efficacy is problematic. Journal of Clinical Epidemiology, 61(3):241–246, 2008. (Cited on page 201.)Google Scholar
Benjamini, Y. and Hochberg, Y.. Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society: Series B, 51(1):289–300, 1995. (Cited on pages 315 and 316.)Google Scholar
Berk, R. H. and Jones, D. H.. Goodness-of-fit test statistics that dominate the Kolmogorov statistics. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, 47(1):47–59, 1979. (Cited on page 259.)Google Scholar
Bernoulli, D.. Specimen theoriae novae de mensura sortis. Commentarii Academiae Scientiarum Imperialis Petropolitanae, 5:175–192, 1738. (Cited on page 95.)Google Scholar
Bernoulli, D.. Exposition of a new theory on the measurement of risk. Econometrica, 22(1):23–36, 1954. (Cited on page 95.)Google Scholar
Bertrand, M. and Mullainathan, S.. Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. American Economic Review, 94(4):991–1013, 2004. (Cited on page 228.)Google Scholar
Besag, J. and Clifford, P.. Generalized monte carlo significance tests. Biometrika, 76(4):633–642, 1989. (Cited on pages 133, 365, and 366.)Google Scholar
Bickel, P. J., Hammel, E. A., and J. W. O’Connell. Sex bias in graduate admissions: Data from Berkeley. Science, 187(4175):398–404, 1975. (Cited on pages 221 and 367.)Google Scholar
Black, N.. Why we need observational studies to evaluate the effectiveness of health care. British Medical Journal, 312(7040):1215–1218, 1996. (Cited on page 154.)Google Scholar
Bohannon, J.. I fooled millions into thinking chocolate helps weight loss. Here’s how. Gizmodo, May 27th 2015. (Cited on page 146.)Google Scholar
Bonita, R., Beaglehole, R., and Kjellström, T.. Basic Epidemiology. World Health Organization, 2006. (Cited on page 157.)Google Scholar
Boucheron, S., Bousquet, O., and Lugosi, G.. Theory of classification: A survey of some recent advances. ESAIM: Probability and Statistics, 9:323–375, 2005. (Cited on page 343.)Google Scholar
Briefcase, J.-P. P.. Insuring the uninsured. Poverty Action Lab, 2014. (Cited on page 159.)Google Scholar
Bronfort, G., Evans, R., Nelson, B., Aker, P. D., Goldsmith, C. H., and Vernon, H.. A randomized clinical trial of exercise and spinal manipulation for patients with chronic neck pain. Spine, 26(7):788–797, 2001. (Cited on page 152.)Google Scholar
Calnitsky, D.. “More normal than welfare”: The Mincome experiment, stigma, and community experience. Canadian Review of Sociology/Revue canadienne de sociologie, 53(1):26–71, 2016. (Cited on page 154.)Google Scholar
Canziani, A., Paszke, A., and Culurciello, E.. An analysis of deep neural network models for practical applications. arXiv preprint arXiv:1605.07678, 2016. (Cited on page 330.)Google Scholar
Card, D., Dobkin, C., and Maestas, N.. Does Medicare save lives? The Quarterly Journal of Economics, 124(2):597–636, 2009. (Cited on page 160.)Google Scholar
Celisse, A. and Robin, S.. Nonparametric density estimation by exact leave-p-out cross-validation. Computational Statistics & Data Analysis, 52(5):2350–2368, 2008. (Cited on page 353.)Google Scholar
Chalmers, I. and Glasziou, P.. Avoidable waste in the production and reporting of research evidence. The Lancet, 374(9683):86–89, 2009. (Cited on page 146.)Google Scholar
Chen, D. L., Moskowitz, T. J., and Shue, K.. Decision making under the gambler’s fallacy: Evidence from asylum judges, loan officers, and baseball umpires. The Quarterly Journal of Economics, 131(3):1181–1242, 2016. (Cited on page 23.)Google Scholar
Cliff, M. A., King, M. C., and Schlosser, J.. Anthocyanin, phenolic composition, colour measurement and sensory analysis of bc commercial red wines. Food Research International, 40(1):92–100, 2007. (Cited on page 289.)Google Scholar
Clopper, C. J. and Pearson, E. S.. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika, 26(4):404–413, 1934. (Cited on page 194.)Google Scholar
Cochran, W. G. and Chambers, S. P.. The planning of observational studies of human populations. Journal of the Royal Statistical Society: Series A, 128(2):234–266, 1965. (Cited on page 157.)Google Scholar
Connor, E. F. and Simberloff, D.. The assembly of species communities: Chance or competition? Ecology, 60(6):1132–1140, 1979. (Cited on pages 363 and 365.)Google Scholar
Cover, T. M.. Pick the largest number. In Open Problems in Communication and Computation, pages 152–152. Springer, 1987. (Cited on page 99.)Google Scholar
Craig, P., Cooper, C., Gunnell, D., Haw, S., Lawson, K., Macintyre, S., Ogilvie, D., Petticrew, M., Reeves, B., Sutton, M., and Thompson, S.. Using natural experiments to evaluate population health interventions: New medical research council guidance. Journal of Epidemiology and Community Health, pages 1182–1186, 2012. (Cited on page 158.)Google Scholar
Cramér, H.. On the composition of elementary errors: Statistical applications. Scandinavian Actuarial Journal, 1928(1):141–180, 1928. (Cited on page 287.)Google Scholar
Crane, H.. The ubiquitous Ewens sampling formula. Statistical Science, 31(1):1–19, 2016. (Cited on page 361.)Google Scholar
Cui, X. and Churchill, G. A.. Statistical tests for differential expression in cdna microarray experiments. Genome biology, 4(4):210, 2003. (Cited on page 309.)Google Scholar
Darling, D. A. and Erdoős, P.. A limit theorem for the maximum of normalized sums of independent random variables. Duke Mathematical Journal, 23(1):143–155, 1956. (Cited on page 121.)Google Scholar
Dasgupta, A.. Right or wrong, our confidence intervals. IMS Bulletin, Dec. 2012. (Cited on page 270.)Google Scholar
De Craen, A. J., Kaptchuk, T. J., Tijssen, J. G., and Kleijnen, J.. Placebos and placebo effects in medicine: Historical overview. Journal of the Royal Society of Medicine, 92(10):511–515, 1999. (Cited on page 147.)Google Scholar
de Leeuw, J., Hornik, K., and Mair, P.. Isotone optimization in R: Pool-adjacent-violators algorithm (pava) and active set methods. Journal of Statistical Software, 32(5):1–24, 2009. (Cited on page 348.)Google Scholar
Dechartres, A., Trinquart, L., Boutron, I., and Ravaud, P.. Influence of trial sample size on treatment effect estimates: meta-epidemiological study. British Medical Journal, 346:f2304, 2013. (Cited on page 321.)Google Scholar
Di Sabatino, A., Volta, U., Salvatore, C., Biancheri, P., Caio, G., De Giorgio, R., Di Stefano, M., and Corazza, G. R.. Small amounts of gluten in subjects with suspected nonceliac gluten sensitivity: a randomized, double-blind, placebo-controlled, cross-over trial. Clinical Gastroenterology and Hepatology, 13(9):1604–1612, 2015. (Cited on page 153.)Google Scholar
Diaconis, P.. Statistical problems in ESP research. Science, 201(4351):131–136, 1978. (Cited on pages 138 and 202.)Google Scholar
Diaconis, P. and Freedman, D.. Finite exchangeable sequences. The Annals of Probability, 8(4):745–764, 1980. (Cited on page 110.)Google Scholar
Diaconis, P. and Gangolli, A.. Rectangular arrays with fixed margins. IMA Volumes in Mathematics and its Applications, 72:15–15, 1995. (Cited on pages 133 and 362.)Google Scholar
Diaconis, P. and Mosteller, F.. Methods for studying coincidences. Journal of the American Statistical Association, 84(408):853–861, 1989. (Cited on page 45.)Google Scholar
Diamond, J.. Assembly of species communities. In Cody, M. and Diamond, J., editors, Ecology and Evolution of Communities, pages 342–444. Harvard University Press, 1975. (Cited on page 363.)Google Scholar
DiCiccio, C. J. and Romano, J. P.. Robust permutation tests for correlation and regression coefficients. Journal of the American Statistical Association, 112(519):1211–1220, 2017. (Cited on page 302.)Google Scholar
Dickersin, K. and MIN, Y.-I.. Publication bias: The problem that won’t go away. Annals of the New York Academy of Sciences, 703(1):135–148, 1993. (Cited on page 322.)Google Scholar
Donoho, D. and Jin, J.. Higher criticism for large-scale inference, especially for rare and weak effects. Statistical Science, 30(1):1–25, 2015. (Cited on page 313.)Google Scholar
Dorfman, R.. The detection of defective members of large populations. The Annals of Mathematical Statistics, 14(4):436–440, 1943. (Cited on page 150.)Google Scholar
Doucouliagos, H. and Stanley, T. D.. Publication selection bias in minimum-wage research? British Journal of Industrial Relations, 47(2):406–428, 2009. (Cited on page 322.)Google Scholar
Du, D., Hwang, F. K., and Hwang, F.. Combinatorial Group Testing and its Applications. World Scientific, 2000. (Cited on page 151.)Google Scholar
Dutang, C. and Wuertz, D.. A note on random number generation, 2009. Vignette for the randtoolbox package. (Cited on page 137.)Google Scholar
Dvoretzky, A., Kiefer, J., and Wolfowitz, J.. Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator. The Annals of Mathematical Statistics, 27(3):642–669, 1956. (Cited on page 233.)Google Scholar
Eckhardt, R.. Stan Ulam, John von Neumann, and the Monte Carlo method. Los Alamos Science, Special Issue, 15:131–137, 1987. (Cited on page 128.)Google Scholar
Ellis, R. J., Toperoff, W., Vaida, F., Van Den Brande, G., Gonzales, J., Gouaux, B., Bentley, H., and Atkinson, J. H.. Smoked medicinal cannabis for neuropathic pain in HIV: a randomized, crossover clinical trial. Neuropsychopharmacology, 34(3):672–680, 2009. (Cited on page 153.)Google Scholar
Erdoős, P. and Rényi, A.. On a classical problem of probability theory. Magyar Tudományos Akadémia Matematikai Kutató Intézetének Közlemé nyei, 6:215–220, 1961. (Cited on page 111.)Google Scholar
Erdoős, P. and Rényi, A.. On a new law of large numbers. Journal d’Analyse Mathématique, 23(1):103–111, 1970. (Cited on page 224.)Google Scholar
Ewens, W. J.. The sampling theory of selectively neutral alleles. Theoretical Population Biology, 3(1):87–112, 1972. (Cited on page 361.)Google Scholar
Feller, W.. An Introduction to Probability Theory and its Applications, volume 1. John Wiley & Sons, 3rd edition, 1968. (Cited on page 119.)Google Scholar
Ferguson, T. S.. Who solved the secretary problem? Statistical Science, 4(3):282–289, 1989. (Cited on page 53.)Google Scholar
Fisher, R. A.. The Design of Experiments. Oliver And Boyd; Edinburgh; London, 2nd edition, 1937. (Cited on pages 216 and 368.)Google Scholar
Forbes, J. D.. XIV.—Further experiments and remarks on the measurement of heights by the boiling point of water. Transactions of the Royal Society of Edinburgh, 21(02):235–243, 1857. (Cited on page 301.)Google Scholar
Fouque, D., Laville, M., Boissel, J., Chifflet, R., Labeeuw, M., and Zech, P.. Controlled low protein diets in chronic renal insufficiency: meta-analysis. British Medical Journal, 304(6821):216–220, 1992. (Cited on page 323.)Google Scholar
Freedman, D., Pisani, R., and Purves, R.. Statistics. WW Norton & Company, 4th edition, 2007. (Cited on pages 139, 142, and 289.)Google Scholar
Freedman, D. and Stark, P.. What is the chance of an earthquake? NATO Science Series IV: Earth and Environmental Sciences, 32:201–213, 2003. (Cited on page 3.)Google Scholar
Freedman, D. A.. Statistical models and shoe leather. Sociological Methodology, pages 291–313, 1991. (Cited on page 159.)Google Scholar
Freedman, D. A. and Berk, R. A.. Weighting regressions by propensity scores. Evaluation Review, 32(4):392–409, 2008. (Cited on page 367.)Google Scholar
Freedman, D. A., Collier, D., Sekhon, J. S., and Stark, P. B.. Statistical Models and Causal Inference: A Dialogue with the Social Sciences. Cambridge University Press, 2010. (Cited on page 370.)Google Scholar
Freedman, D. A. and Wachter, K. W.. Census adjustment: Statistical promise or illusion? Society, 39(1):26–33, 2001. (Cited on page 139.)Google Scholar
Freemantle, N., Marston, L., Walters, K., Wood, J., Reynolds, M. R., and Petersen, I.. Making inferences on treatment effects from real world data: Propensity scores, confounding by indication, and other perils for the unwary in observational research. British Medical Journal, 347:f6409, 2013. (Cited on page 367.)Google Scholar
Friedman, L. M., Furberg, C. D., DeMets, D. L., Reboussin, D. M., and Granger, C. B.. Fundamentals of Clinical Trials. Springer, 5th edition, 2015. (Cited on page 148.)Google Scholar
Friedman, M.. The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association, 32(200):675–701, 1937. (Cited on page 297.)Google Scholar
Gardner, M.. The Second Scientific American Book of Mathematical Puzzles and Diversions. Simon and Schuster, New York, 1961. (Cited on page 32.)Google Scholar
Gelman, A. and Loken, E.. The garden of forking paths: Why multiple comparisons can be a problem, even when there is no “fishing expedition” or “p-hacking” and the research hypothesis was posited ahead of time. Technical report, Columbia University, 2013. (Cited on page 145.)Google Scholar
Genovese, C. and Wasserman, L.. Operating characteristics and extensions of the false discovery rate procedure. Journal of the Royal Statistical Society: Series B, 64(3):499–517, 2002. (Cited on pages 315 and 317.)Google Scholar
Gerber, A., Malhotra, N., et al. Do statistical reporting standards affect what is published? Publication bias in two leading political science journals. Quarterly Journal of Political Science, 3(3):313–326, 2008. (Cited on page 326.)Google Scholar
Glass, T. A., Goodman, S. N., Hernán, M. A., and Samet, J. M.. Causal inference in public health. Annual Review of Public Health, 34:61–75, 2013. (Cited on page 367.)Google Scholar
Gleser, L. J. and Olkin, I.. Models for estimating the number of unpublished studies. Statistics in Medicine, 15(23):2493–2507, 1996. (Cited on page 326.)Google Scholar
Gotelli, N. J. and Entsminger, G. L.. Swap and fill algorithms in null model analysis: Rethinking the knight’s tour. Oecologia, 129(2):281–291, 2001. (Cited on page 365.)Google Scholar
Gotelli, N. J. and Graves, G. R.. Null Models in Ecology. Smithsonian Institution Press, 1996. (Cited on page 363.)Google Scholar
Grenander, U.. On the theory of mortality measurement: Part II. Scandinavian Actuarial Journal, 1956(2):125–153, 1956. (Cited on page 267.)Google Scholar
Grinstead, C. M. and Snell, J. L.. Introduction to Probability. American Mathematical Society, 2nd edition, 1997. Available online on the authors’ website. (Cited on pages 13, 24, 31, 44, 46, 113, and 124.)Google Scholar
Gutthann, S. P., Rodriguez, L. A. G., Castellsague, J., and Oliart, A. D.. Hormone replacement therapy and risk of venous thromboembolism: population based case-control study. British Medical Journal, 314(7083):796, 1997. (Cited on page 156.)Google Scholar
Halpern, P.. Isaac Newton vs Las Vegas: How physicists used science to beat the odds at roulette. Forbes Magazine, May 2017. (Cited on page 21.)Google Scholar
Halpern, S. D., Karlawish, J. H., and Berlin, J. A.. The continuing unethical conduct of underpowered clinical trials. Journal of the American Medical Association, 288(3):358–362, 2002. (Cited on page 146.)Google Scholar
Hansen, B. B.. Full matching in an observational study of coaching for the SAT. Journal of the American Statistical Association, 99(467):609–618, 2004. (Cited on page 158.)Google Scholar
Harvey, C. R. and Liu, Y.. Evaluating trading strategies. The Journal of Portfolio Management, 40(5):108–118, 2014. (Cited on page 328.)Google Scholar
Hastie, T., Tibshirani, R., and Friedman, J.. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Science & Business Media, 2nd edition, 2009. (Cited on page 329.)Google Scholar
Heffernan, R., Mostashari, F., Das, D., Karpati, A., Kulldorff, M., and Weiss, D.. Syndromic surveillance in public health practice, New York City. Emerging Infectious Diseases, 10(5), 2004. (Cited on page 309.)Google Scholar
Henning, K. J.. What is syndromic surveillance? Morbidity and Mortality Weekly Report, 53:7–11, 2004. (Cited on page 309.)Google Scholar
Henry, P. J.. College sophomores in the laboratory redux: Influences of a narrow data base on social psychology’s view of the nature of prejudice. Psychological Inquiry, 19(2):49–71, 2008. (Cited on page 145.)Google Scholar
Higgins, J. P. and Green, S., editors. Cochrane Handbook for Systematic Reviews of Interventions. John Wiley & Sons, 2011. (Cited on page 322.)Google Scholar
Hill, A. B.. The environment and disease: Association or causation? Proceedings of the Royal Society of Medicine, 58(5):295–300, 1965. (Cited on pages 160 and 367.)Google Scholar
Hoeffding, W.. A non-parametric test of independence. The Annals of Mathematical Statistics, 19(4):546–557, 1948. (Cited on page 306.)Google Scholar
Holm, S.. A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6(2):65–70, 1979. (Cited on page 318.)Google Scholar
Huber, M. L., Laesecke, A., and Friend, D. G.. Correlation for the vapor pressure of mercury. Industrial & Engineering Chemistry Research, 45(21):7351–7361, 2006. (Cited on page 303.)Google Scholar
Imai, K. and Nakachi, K.. Cross sectional study of effects of drinking green tea on cardiovascular and liver diseases. British Medical Journal, 310(6981):693–696, 1995. (Cited on page 157.)Google Scholar
Iyengar, S. and Greenhouse, J. B.. Selection models and the file drawer problem. Statistical Science, 3(1):109–117, 1988. (Cited on page 326.)Google Scholar
Jaeschke, D.. The asymptotic distribution of the supremum of the standardized empirical distribution function on subintervals. The Annals of Statistics, 7(1):108–115, 1979. (Cited on page 314.)Google Scholar
James, G., Witten, D., Hastie, T., and Tibshirani, R.. An Introduction to Statistical Learning, volume 112. Springer, 2013. (Cited on page 329.)Google Scholar
Jennrich, R. I.. Asymptotic properties of non-linear least squares estimators. The Annals of Mathematical Statistics, 40(2):633–643, 1969. (Cited on page 270.)Google Scholar
Kain, Z. N., Sevarino, F., Alexander, G. M., Pincus, S., and Mayes, L. C.. Preoperative anxiety and postoperative pain in women undergoing hysterectomy: a repeated-measures design. Journal of Psychosomatic Research, 49(6):417–422, 2000. (Cited on page 153.)Google Scholar
Kaptchuk, T. J. and Miller, F. G.. Placebo effects in medicine. New England Journal of Medicine, 373(1):8–9, 2015. (Cited on page 147.)Google Scholar
Keller, A. S., Rosenfeld, B., Trinh-Shevrin, C., Meserve, C., Sachs, E., Leviss, J. A., Singer, E., Smith, H., Wilkinson, J., and Kim, G.. Mental health of detained asylum seekers. The Lancet, 362(9397):1721–1723, 2003. (Cited on page 299.)Google Scholar
Kinderman, A. J. and Monahan, J. F.. Computer generation of random variables using the ratio of uniform deviates. ACM Transactions on Mathematical Software, 3(3):257–260, 1977. (Cited on page 132.)Google Scholar
Kolmogorov, A.. Sulla determinazione empirica di una legge di distribuzione. Giornale dell’Istituto Italiano degli Attuari, 4:89–91, 1933. (Cited on pages 251 and 268.)Google Scholar
Lee, M.. Passphrases that you can memorize - but that even the NSA can’t guess. The Intercept, March 26th 2015. (Cited on page 98.)Google Scholar
Lehmann, E. L. and Romano, J. P.. Testing Statistical Hypotheses. Springer, 2005. (Cited on page 290.)Google Scholar
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., and Wasserman, L.. Distribution-free predictive inference for regression. Journal of the American Statistical Association, 113(523):1094–1111, 2018. (Cited on page 348.)Google Scholar
Levitt, S. D. and List, J. A.. Field experiments in economics: The past, the present, and the future. European Economic Review, 53(1):1–18, 2009. (Cited on page 158.)Google Scholar
Li, Z., Nadon, S., and Cihlar, J.. Satellite-based detection of canadian boreal forest fires: Development and application of the algorithm. International Journal of Remote Sensing, 21(16):3057–3069, 2000. (Cited on page 309.)Google Scholar
Lieberson, S. and Lynn, F. B.. Barking up the wrong branch: Scientific alternatives to the current model of sociological science. Annual Review of Sociology, 28(1):1–19, 2002. (Cited on page 370.)Google Scholar
Liptak, T.. On the combination of independent tests. Magyar Tud Akad Mat Kutato Int Kozl, 3:171–197, 1958. (Cited on page 312.)Google Scholar
Loader, C. R.. Local likelihood density estimation. The Annals of Statistics, 24(4):1602–1618, 1996. (Cited on page 336.)Google Scholar
Lock, R. H.. A sequential approximation to a permutation test. Communications in Statistics: Simulation and Computation, 20(1):341–363, 1991. (Cited on page 229.)Google Scholar
Logothetis, N. K.. What we can do and what we cannot do with fMRI. Nature, 453(7197):869, 2008. (Cited on page 310.)Google Scholar
Lu-Yao, G. L. and Yao, S.-L.. Population-based study of long-term survival in patients with clinically localised prostate cancer. The Lancet, 349(9056):906–910, 1997. (Cited on page 147.)Google Scholar
Lucas, A. M. and Mbiti, I. M.. Effects of school quality on student achievement: Discontinuity evidence from kenya. American Economic Journal: Applied Economics, 6(3):234–63, 2014. (Cited on page 160.)Google Scholar
Lustig, R. H., Schmidt, L. A., and Brindis, C. D.. Public health: The toxic truth about sugar. Nature, 482(7383):27, 2012. (Cited on page 155.)Google Scholar
Ma, Z., Wood, C., and Bransby, D.. Soil management impacts on soil carbon sequestration by switchgrass. Biomass and Bioenergy, 18(6):469–477, 2000. (Cited on page 149.)Google Scholar
Maercker, A., Zöllner, T., Menning, H., Rabe, S., and Karl, A.. Dresden PTSD treatment study: Randomized controlled trial of motor vehicle accident survivors. BMC Psychiatry, 6(1):29, 2006. (Cited on page 153.)Google Scholar
Manly, B. F.. A note on the analysis of species co-occurrences. Ecology, 76(4):1109–1115, 1995. (Cited on page 365.)Google Scholar
Marshall, D., Johnell, O., and Wedel, H.. Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. British Medical Journal, 312(7041):1254–1259, 1996. (Cited on page 321.)Google Scholar
Matsumoto, M. and Nishimura, T.. Mersenne twister: A 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Transactions on Modeling and Computer Simulation, 8(1):3–30, 1998. (Cited on page 137.)Google Scholar
McGee, R. G. and Dawson, A. C.. Fake news and fake research: Why meta-research matters more than ever. Journal of Paediatrics and Child Health, 56(12):1868–1871, 2020. (Cited on page 146.)Google Scholar
McNemar, Q.. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12(2):153–157, 1947. (Cited on page 214.)Google Scholar
Michaels, D.. Doubt is their Product: How Industry’s Assault on Science Threatens your Health. Oxford University Press, 2008. (Cited on page 155.)Google Scholar
Miklós, I. and Podani, J.. Randomization of presence-absence matrices: Comments and new algorithms. Ecology, 85(1):86–92, 2004. (Cited on page 365.)Google Scholar
Miller, R. G.. Simultaneous Statistical Inference. Springer, 1981. (Cited on page 281.)Google Scholar
Montori, V. M., Devereaux, P., Adhikari, N. K., Burns, K. E., Eggert, C. H., Briel, M., Lacchetti, C., Leung, T. W., Darling, E., Bryant, D. M., et al. Randomized trials stopped early for benefit: a systematic review. Journal of the American Medical Association, 294(17):2203–2209, 2005. (Cited on page 201.)Google Scholar
Moscovich, A., Nadler, B., and Spiegelman, C.. On the exact Berk-Jones statistics and their p-value calculation. Electronic Journal of Statistics, 10(2):2329–2354, 2016. (Cited on page 259.)Google Scholar
Mosteller, F.. Note on an application of runs to quality control charts. The Annals of Mathematical Statistics, 12(2):228–232, 1941. (Cited on page 224.)Google Scholar
Myers, M. G., Godwin, M., Dawes, M., Kiss, A., Tobe, S. W., Grant, F. C., and Kaczorowski, J.. Conventional versus automated measurement of blood pressure in primary care patients with systolic hypertension: randomised parallel design controlled trial. British Medical Journal, 342:d286, 2011. (Cited on page 271.)Google Scholar
Nalebuff, B.. Puzzles: The other person’s envelope is always greener. The Journal of Economic Perspectives, 3(1):171–181, 1989. (Cited on page 31.)Google Scholar
Newcombe, R.. Two-sided confidence intervals for the single proportion: comparison of seven methods. Statistics in Medicine, 17(8):857, 1998. (Cited on page 202.)Google Scholar
Norvell, D. C. and Cummings, P.. Association of helmet use with death in motorcycle crashes: a matched-pair cohort study. American Journal of Epidemiology, 156(5):483–487, 2002. (Cited on page 156.)Google Scholar
Oehlert, G. W.. A First Course in Design and Analysis of Experiments. 2010. Available online on the author’s website. (Cited on pages 144 and 150.)Google Scholar
Oreskes, N. and Conway, E. M.. Merchants of Doubt. New York: Bloomsbury Press, 2010. (Cited on page 155.)Google Scholar
Pearson, K.. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine Series 5, 50(302):157–175, 1900. (Cited on page 226.)Google Scholar
Pearson, K. and Lee, A.. On the laws of inheritance in man: I. Inheritance of physical characters. Biometrika, 2(4):357–462, 1903. (Cited on page 289.)Google Scholar
Pilcher, C. D., Louie, B., Facente, S., Keating, S., Hackett, J. Jr, Vallari, A., Hall, C., Dowling, T., Busch, M. P., and Klausner, J. D.. Performance of rapid point-of-care and laboratory tests for acute and established HIV infection in San Francisco. PLOS ONE, 8(12):e80629, 2013. (Cited on page 16.)Google Scholar
Powers, D. E. and Rock, D. A.. Effects of coaching on sat i: Reasoning test scores. Journal of Educational Measurement, 36(2):93–118, 1999. (Cited on page 158.)Google Scholar
Prasad, V. K. and Cifu, A. S.. Ending Medical Reversal: Improving Outcomes, Saving Lives. Johns Hopkins University Press, 2015. (Cited on page 154.)Google Scholar
Radelet, M. L. and Pierce, G. L.. Choosing those who will die: Race and the death penalty in Florida. Florida Law Review, 43:1, 1991. (Cited on page 222.)Google Scholar
Rahmathullah, L., Tielsch, J. M., Thulasiraj, R., Katz, J., Coles, C., Devi, S., John, R., Prakash, K., Sadanand, A., and Edwin, N.. Impact of supplementing newborn infants with vitamin A on early infant mortality: Community based randomised trial in southern India. British Medical Journal, 327(7409):254, 2003. (Cited on page 204.)Google Scholar
Randi, J.. Flim-Flam!: Psychics, ESP, Unicorns, and other Delusions, volume 342. Prometheus Books Buffalo, NY, 1982. (Cited on page 201.)Google Scholar
Rash, G.. Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute for Educational Research, 1960. (Cited on page 361.)Google Scholar
Reilly, J. J., Armstrong, J., Dorosty, A. R., Emmett, P. M., Ness, A., Rogers, I., Steer, C., and Sherriff, A.. Early life risk factors for obesity in childhood: cohort study. British Medical Journal, 330(7504):1357, 2005. (Cited on page 155.)Google Scholar
Ridley, J., Kolm, N., Freckelton, R., and Gage, M.. An unexpected influence of widely used significance thresholds on the distribution of reported p-values. Journal of Evolutionary Biology, 20(3):1082–1089, 2007. (Cited on page 326.)Google Scholar
Rosengren, A., Wilhelmsen, L., Eriksson, E., Risberg, B., and Wedel, H.. Lipoprotein(a) and coronary heart disease: a prospective case-control study in a general population sample of middle aged men. British Medical Journal, 301(6763):1248–1251, 1990. (Cited on page 156.)Google Scholar
Rosenhouse, J.. The Monty Hall Problem: The Remarkable Story of Math’s Most Contentious Brain Teaser. Oxford University Press, 2009. (Cited on page 13.)Google Scholar
Rosenthal, R.. The file drawer problem and tolerance for null results. Psychological Bulletin, 86(3):638, 1979. (Cited on page 324.)Google Scholar
Rubin, D. B.. Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of educational Psychology, 66(5):688, 1974. (Cited on page 368.)Google Scholar
Rudemo, M.. Empirical choice of histograms and kernel density estimators. Scandinavian Journal of Statistics, 9(2):65–78, 1982. (Cited on pages 236 and 266.)Google Scholar
Rukhin, A., Soto, J., Nechvatal, J., Barker, E., Leigh, S., Levenson, M., Banks, D., Heckert, A., Dray, J., and Vo, S.. Statistical test suite for random and pseudorandom number generators for cryptographic applications, NIST special publication. Technical Report (SP 800-22), National Institute of Standards and Technology (NIST), 2010. Revised by L. Bassham III. (Cited on page 223.)Google Scholar
Rutherford, E., Geiger, H., and Bateman, H.. LXXVI. The probability variations in the distribution of a particles. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 20(118):698–707, 1910. (Cited on page 50.)Google Scholar
Sageman, M.. Misunderstanding Terrorism. University of Pennsylvania Press, 2016. (Cited on page 16.)Google Scholar
Sanderson, J.. Testing ecological patterns a well-known algorithm from computer science aids the evaluation of species distributions. American Scientist, 88(4):332–339, 2000. (Cited on page 364.)Google Scholar
Schlosser, E.. Break-In at Y-12: How a handful of pacifists and nuns exposed the vulnerability of America’s nuclear-weapons sites. The New Yorker, March 9th 2015. (Cited on page 176.)Google Scholar
Schneider, L. S., Dagerman, K. S., and Insel, P.. Risk of death with atypical antipsychotic drug treatment for dementia: meta-analysis of randomized placebo-controlled trials. Journal of the American Medical Association, 294(15):1934–1943, 2005. (Cited on page 325.)Google Scholar
Sears, D. O.. College sophomores in the laboratory: Influences of a narrow data base on social psychology’s view of human nature. Journal of Personality and Social Psychology, 51(3):515, 1986. (Cited on page 145.)Google Scholar
Shafer, G. and Vovk, V.. A tutorial on conformal prediction. Journal of Machine Learning Research, 9:371–421, 2008. (Cited on pages 263 and 348.)Google Scholar
Šidák, Z.. Rectangular confidence regions for the means of multivariate normal distributions. Journal of the American Statistical Association, 62(318):626–633, 1967. (Cited on page 313.)Google Scholar
Sihvonen, R., Paavola, M., Malmivaara, A., Itälä, A., Joukainen, A., Nurmi, H., Kalske, J., and Järvinen, T. L.. Arthroscopic partial meniscectomy versus sham surgery for a degenerative meniscal tear. New England Journal of Medicine, 369(26):2515–2524, 2013. (Cited on page 148.)Google Scholar
Simes, R. J.. An improved Bonferroni procedure for multiple tests of significance. Biometrika, 73(3):751–754, 1986. (Cited on page 313.)Google Scholar
Simmons, J. P., Nelson, L. D., and Simonsohn, U.. False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychological Science, 22(11):1359–1366, 2011. (Cited on page 145.)Google Scholar
Smirnov, N.. Table for estimating the goodness of fit of empirical distributions. The Annals of Mathematical Statistics, 19(2):279–281, 1948. (Cited on page 251.)Google Scholar
Smith, G. D. and Ebrahim, S.. Data dredging, bias, or confounding: They can all get you into the BMJ and the Friday papers. British Medical Journal, 325(7378):1437, 2002. (Cited on page 154.)Google Scholar
Smith, R. L.. A statistical assessment of Buchanan’s vote in Palm Beach county. Statistical Science, pages 441–457, 2002. (Cited on page 141.)Google Scholar
Snow, J.. On the Mode of Communication of Cholera. John Churchill, 1855. (Cited on page 159.)Google Scholar
Southworth, L. K., Kim, S. K., and Owen, A. B.. Properties of balanced permutations. Journal of Computational Biology, 16(4):625–638, 2009. (Cited on page 359.)Google Scholar
Splawa-Neyman, J., Dabrowska, D. M., and Speed, T.. On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Statistical Science, 5(4):465–472, 1990. (Cited on page 368.)Google Scholar
Squire, P.. Why the 1936 literary digest poll failed. Public Opinion Quarterly, 52(1):125–133, 1988. (Cited on page 142.)Google Scholar
Stafford, R. S., Wagner, T. H., and Lavori, P. W.. New, but not improved? Incorporating comparative-effectiveness information into FDA labeling. New England Journal of Medicine, 361(13):1230–1233, 2009. (Cited on page 147.)Google Scholar
Steinberg, M. B., Greenhaus, S., Schmelzer, A. C., Bover, M. T., Foulds, J., Hoover, D. R., and Carson, J. L.. Triple-combination pharmacotherapy for medically ill smokers: a randomized trial. Annals of Internal Medicine, 150(7):447–454, 2009. (Cited on page 256.)Google Scholar
Stockwell, T., Zhao, J., Panwar, S., Roemer, A., Naimi, T., and Chikritzhs, T.. Do “moderate” drinkers have reduced mortality risk? A systematic review and meta-analysis of alcohol consumption and all-cause mortality. Journal of Studies on Alcohol and Drugs, 77(2):185–198, 2016. (Cited on page 321.)Google Scholar
Storey, J. D.. A direct approach to false discovery rates. Journal of the Royal Statistical Society: Series B, 64(3):479–498, 2002. (Cited on page 327.)Google Scholar
Student. On the error of counting with a haemacytometer. Biometrika, 5(3):351–360, 1907. (Cited on page 48.)Google Scholar
Sulloway, F. J.. Darwin and his finches: The evolution of a legend. Journal of the History of Biology, 15(1):1–53, 1982. (Cited on page 364.)Google Scholar
Svetkey, L. P., Stevens, V. J., Brantley, P. J., Appel, L. J., Hollis, J. F., Loria, C. M., Vollmer, W. M., Gullion, C. M., Funk, K., and Smith, P.. Comparison of strategies for sustaining weight loss: The weight loss maintenance randomized controlled trial. Journal of the American Medical Association, 299(10):1139–1148, 2008. (Cited on page 271.)Google Scholar
Székely, G. J. and Rizzo, M. L.. Energy statistics: A class of statistics based on distances. Journal of Statistical Planning and Inference, 143(8):1249–1272, 2013. (Cited on page 287.)Google Scholar
Székely, G. J., Rizzo, M. L., and Bakirov, N. K.. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35(6):2769–2794, 2007. (Cited on page 307.)Google Scholar
The PLoS Medicine Editors. Ghostwriting: The dirty little secret of medical publishing that just got bigger. PLOS Medicine, 6(9):e1000156, 2009. (Cited on page 324.)Google Scholar
Thompson, W. C. and Schumann, E. L.. Interpretation of statistical evidence in criminal trials: The prosecutor’s fallacy and the defense attorney’s fallacy. Law and Human Behavior, 11(3):167, 1987. (Cited on page 17.)Google Scholar
Thornhill, S., Teasdale, G. M., Murray, G. D., McEwen, J., Roy, C. W., and Penny, K. I.. Disability in young people and adults one year after head injury: prospective cohort study. British Medical Journal, 320(7250):1631–1635, 2000. (Cited on page 156.)Google Scholar
Tierney, J.. Behind monty hall’s doors: Puzzle, debate and answer? The New York Times, 1991. (Cited on page 12.)Google Scholar
Turner, E. H., Matthews, A. M., Linardatos, E., Tell, R. A., and Rosenthal, R.. Selective publication of antidepressant trials and its influence on apparent efficacy. New England Journal of Medicine, 358(3):252–260, 2008. (Cited on page 322.)Google Scholar
Utts, J. M.. Seeing through Statistics. Brooks/Cole, 3rd edition, 2005. (Cited on pages 139 and 142.)Google Scholar
Vazsonyi, A.. Which door has the cadillac. Decision Line, 30(1):17–19, 1999. (Cited on page 128.)Google Scholar
Von Mises, R.. Probability, Statistics, and Truth. Courier Corporation, 1957. (Cited on page 3.)Google Scholar
Vovk, V., Gammerman, A., and Shafer, G.. Conformal Prediction. Springer, 2005. (Cited on pages 263 and 348.)Google Scholar
Vovk, V. G. and Shafer, G.. Kolmogorov’s contributions to the foundations of probability. Problems of Information Transmission, 39(1):21–31, 2003. (Cited on page 3.)Google Scholar
Wald, A.. Sequential tests of statistical hypotheses. The Annals of Mathematical Statistics, 16(2):117–186, 1945. (Cited on page 200.)Google Scholar
Wald, A. and Wolfowitz, J.. On a test whether two samples are from the same population. The Annals of Mathematical Statistics, 11(2):147–162, 1940. (Cited on page 224.)Google Scholar
Wampold, B. E., Minami, T., Tierney, S. C., Baskin, T. W., and Bhati, K. S.. The placebo is powerful: Estimating placebo effects in medicine and psychotherapy from randomized clinical trials. Journal of Clinical Psychology, 61(7):835–854, 2005. (Cited on page 148.)Google Scholar
Wand, J. N., Shotts, K. W., Sekhon, J. S., Mebane, W. R., Herron, M. C., and Brady, H. E.. The butterfly did it: The aberrant vote for Buchanan in Palm Beach County, Florida. American Political Science Review, 95(4):793–810, 2001. (Cited on page 141.)Google Scholar
Wang, W., Rothschild, D., Goel, S., and Gelman, A.. Forecasting elections with non-representative polls. International Journal of Forecasting, 31(3):980–991, 2015. (Cited on page 143.)Google Scholar
Watterson, G.. Heterosis or neutrality? Genetics, 85(4):789–814, 1977. (Cited on page 361.)Google Scholar
Weiss, L.. A test of fit based on the largest sample spacing. Journal of the Society for Industrial and Applied Mathematics, 8(2):295–299, 1960. (Cited on page 360.)Google Scholar
Welch, B.. On the comparison of several mean values: An alternative approach. Biometrika, 38(3/4):330–336, 1951. (Cited on pages 281 and 287.)Google Scholar
Welch, B. L.. The generalization of student’s’ problem when several different population variances are involved. Biometrika, 34(1-2):28–35, 1947. (Cited on page 273.)Google Scholar
Wilson, E. B.. Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association, 22(158):209–212, 1927. (Cited on page 195.)Google Scholar
Young, S. S. and Karr, A.. Deming, data and observational studies. Significance, 8(3):116–120, 2011. (Cited on page 154.)Google Scholar
Zak, D.. Almighty: Courage, Resistance, and Existential Peril in the Nuclear Age. Penguin Publishing Group, 2017. (Cited on page 176.)Google Scholar
Zaman, A. and Simberloff, D.. Random binary matrices in biogeographical ecology: Instituting a good neighbor policy. Environmental and Ecological Statistics, 9(4):405–421, 2002. (Cited on page 365.)Google Scholar