Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Booth, Neill
2019.
On value frameworks and opportunity costs in health technology assessment.
International Journal of Technology Assessment in Health Care,
Vol. 35,
Issue. 5,
p.
367.
Booth, Neill
Rissanen, Pekka
Tammela, Teuvo L. J.
Kujala, Paula
Stenman, Ulf-Håkan
Taari, Kimmo
Talala, Kirsi
Auvinen, Anssi
and
Wallis, Christopher J.D.
2019.
Cost-effectiveness analysis of PSA-based mass screening: Evidence from a randomised controlled trial combined with register data.
PLOS ONE,
Vol. 14,
Issue. 11,
p.
e0224479.
Mullahy, John
2021.
Discovering treatment effectiveness via median treatment effects—Applications to COVID‐19 clinical trials.
Health Economics,
Vol. 30,
Issue. 5,
p.
1050.
Galvão, Ana
and
Mitchell, James
2021.
Communicating Data Uncertainty: Multi-Wave Experimental Evidence for UK GDP.
SSRN Electronic Journal ,
Galvão, Ana Beatriz
and
Mitchell, James
2022.
Holder, Eli
and
Xiong, Cindy
2022.
Dispersion Vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes.
IEEE Transactions on Visualization and Computer Graphics,
p.
1.
Hotz, V. Joseph
Bollinger, Christopher R.
Komarova, Tatiana
Manski, Charles F.
Moffitt, Robert A.
Nekipelov, Denis
Sojourner, Aaron
and
Spencer, Bruce D.
2022.
Balancing data privacy and usability in the federal statistical system.
Proceedings of the National Academy of Sciences,
Vol. 119,
Issue. 31,
Mullahy, John
2022.
Investigating health-related time use with partially observed data.
Review of Economics of the Household,
Vol. 20,
Issue. 1,
p.
103.
Gleditsch, Kristian Skrede
2022.
One without the Other? Prediction and Policy in International Studies.
International Studies Quarterly,
Vol. 66,
Issue. 3,
Yang, Fumeng
Cai, Mandi
Mortenson, Chloe
Fakhari, Hoda
Lokmanoglu, Ayse D.
Hullman, Jessica
Franconeri, Steven
Diakopoulos, Nicholas
Nisbet, Erik C.
and
Kay, Matthew
2023.
Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms.
IEEE Transactions on Visualization and Computer Graphics,
p.
1.
Kerr, John
van der Bles, Anne-Marthe
Dryhurst, Sarah
Schneider, Claudia R.
Chopurian, Vivien
Freeman, Alexandra L. J.
and
van der Linden, Sander
2023.
The effects of communicating uncertainty around statistics, on public trust.
Royal Society Open Science,
Vol. 10,
Issue. 11,
Prabhudesai, Snehal
Yang, Leyao
Asthana, Sumit
Huan, Xun
Liao, Q. Vera
and
Banovic, Nikola
2023.
Understanding Uncertainty: How Lay Decision-makers Perceive and Interpret Uncertainty in Human-AI Decision Making.
p.
379.
Nanayakkara, Priyanka
and
Hullman, Jessica
2024.
What to Consider When Considering Differential Privacy for Policy.
Policy Insights from the Behavioral and Brain Sciences,
Vol. 11,
Issue. 2,
p.
132.
GALVÃO, ANA BEATRIZ
and
MITCHELL, JAMES
2024.
Communicating Data Uncertainty: Multiwave Experimental Evidence for UK GDP.
Journal of Money, Credit and Banking,
Vol. 56,
Issue. 1,
p.
81.
Manski, Charles
2024.
Inference with Imputed Data: The Allure of Making Stuff Up.
Journal of Labor Economics,
van Bergeijk, Peter A.G.
2024.
On the inaccuracies of macroeconomic observations.
National Accounting Review,
Vol. 6,
Issue. 3,
p.
367.
Wang, Arran Zeyu
Borland, David
and
Gotz, David
2024.
An empirical study of counterfactual visualization to support visual causal inference.
Information Visualization,
Vol. 23,
Issue. 2,
p.
197.