Tyler J. VanderWeele
Tyler J. VanderWeele
John L. Loeb and Frances Lehman Loeb Professor of Epidemiology, Harvard University
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Zitiert von
Zitiert von
Sensitivity analysis in observational research: introducing the E-value
TJ VanderWeele, P Ding
Annals of internal medicine 167 (4), 268-274, 2017
Explanation in causal inference: methods for mediation and interaction
T VanderWeele
Oxford University Press, 2015
Mediation analysis allowing for exposure–mediator interactions and causal interpretation: theoretical assumptions and implementation with SAS and SPSS macros.
L Valeri, TJ VanderWeele
Psychological methods 18 (2), 137, 2013
Mediation analysis: a practitioner's guide
TJ VanderWeele
Annual review of public health 37, 17-32, 2016
Strengthening the reporting of observational studies in epidemiology using Mendelian randomization: the STROBE-MR statement
VW Skrivankova, RC Richmond, BAR Woolf, J Yarmolinsky, NM Davies, ...
Jama 326 (16), 1614-1621, 2021
Principles of confounder selection
TJ VanderWeele
European journal of epidemiology 34, 211-219, 2019
A tutorial on interaction
TJ VanderWeele, MJ Knol
Epidemiologic methods 3 (1), 33-72, 2014
Recommendations for presenting analyses of effect modification and interaction
MJ Knol, TJ VanderWeele
International journal of epidemiology 41 (2), 514-520, 2012
Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants
BL Pierce, H Ahsan, TJ VanderWeele
International journal of epidemiology 40 (3), 740-752, 2011
On the promotion of human flourishing
TJ VanderWeele
Proceedings of the National Academy of Sciences 114 (31), 8148-8156, 2017
Odds ratios for mediation analysis for a dichotomous outcome
TJ VanderWeele, S Vansteelandt
American journal of epidemiology 172 (12), 1339-1348, 2010
Mediation analysis with multiple mediators
T VanderWeele, S Vansteelandt
Epidemiologic methods 2 (1), 95-115, 2014
Conceptual issues concerning mediation, interventions and composition
TJ VanderWeele, S Vansteelandt
Statistics and its Interface 2 (4), 457-468, 2009
Using the E-value to assess the potential effect of unmeasured confounding in observational studies
S Haneuse, TJ VanderWeele, D Arterburn
Jama 321 (6), 602-603, 2019
Marginal structural models for the estimation of direct and indirect effects
TJ VanderWeele
Epidemiology 20 (1), 18-26, 2009
Effect of a housing and case management program on emergency department visits and hospitalizations among chronically ill homeless adults: a randomized trial
LS Sadowski, RA Kee, TJ VanderWeele, D Buchanan
Jama 301 (17), 1771-1778, 2009
Estimating measures of interaction on an additive scale for preventive exposures
MJ Knol, TJ VanderWeele, RHH Groenwold, OH Klungel, MM Rovers, ...
European journal of epidemiology 26, 433-438, 2011
A unification of mediation and interaction: a 4-way decomposition
TJ VanderWeele
Epidemiology 25 (5), 749-761, 2014
Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration
VW Skrivankova, RC Richmond, BAR Woolf, NM Davies, SA Swanson, ...
bmj 375, 2021
Sensitivity analysis without assumptions
P Ding, TJ VanderWeele
Epidemiology 27 (3), 368-377, 2016
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