Tyler J. VanderWeele
Tyler J. VanderWeele
John L. Loeb and Frances Lehman Loeb Professor of Epidemiology, Harvard University
Geverifieerd e-mailadres voor hsph.harvard.edu
TitelGeciteerd doorJaar
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
Explanation in causal inference: methods for mediation and interaction
T VanderWeele
Oxford University Press, 2015
Sensitivity analysis in observational research: introducing the E-value
TJ VanderWeele, P Ding
Annals of internal medicine 167 (4), 268-274, 2017
Odds ratios for mediation analysis for a dichotomous outcome
TJ VanderWeele, S Vansteelandt
American journal of epidemiology 172 (12), 1339-1348, 2010
Marginal structural models for the estimation of direct and indirect effects
TJ VanderWeele
Epidemiology 20 (1), 18-26, 2009
Conceptual issues concerning mediation, interventions and composition
TJ Vanderweele, S Vansteelandt
Statistics and its Interface 2 (4), 457-468, 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
Recommendations for presenting analyses of effect modification and interaction
MJ Knol, TJ VanderWeele
International journal of epidemiology 41 (2), 514-520, 2012
A tutorial on interaction
TJ VanderWeele, MJ Knol
Epidemiologic Methods 3 (1), 33-72, 2014
Bias formulas for sensitivity analysis for direct and indirect effects
TJ VanderWeele
Epidemiology (Cambridge, Mass.) 21 (4), 540, 2010
Why is spiritual care infrequent at the end of life? Spiritual care perceptions among patients, nurses, and physicians and the role of training
MJ Balboni, A Sullivan, A Amobi, AC Phelps, DP Gorman, A Zollfrank, ...
Journal of clinical oncology 31 (4), 461, 2013
Mediation analysis: a practitioner's guide
TJ VanderWeele
Annual review of public health 37, 17-32, 2016
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 (6), 433-438, 2011
Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders.
TJ VanderWeele, OA Arah
Epidemiology (Cambridge, Mass.) 22 (1), 42-52, 2011
On causal inference in the presence of interference
EJT Tchetgen, TJ VanderWeele
Statistical methods in medical research 21 (1), 55-75, 2012
Marital satisfaction and break-ups differ across on-line and off-line meeting venues
JT Cacioppo, S Cacioppo, GC Gonzaga, EL Ogburn, TJ VanderWeele
Proceedings of the National Academy of Sciences 110 (25), 10135-10140, 2013
Methodological challenges in mendelian randomization
TJ VanderWeele, EJT Tchetgen, M Cornelis, P Kraft
Epidemiology (Cambridge, Mass.) 25 (3), 427, 2014
Mediation analysis with multiple mediators
T VanderWeele, S Vansteelandt
Epidemiologic methods 2 (1), 95-115, 2014
The role of spirituality and religious coping in the quality of life of patients with advanced cancer receiving palliative radiation therapy
MM Vallurupalli, MK Lauderdale, MJ Balboni, AC Phelps, SD Block, ...
The journal of supportive oncology 10 (2), 81, 2012
Support of cancer patients' spiritual needs and associations with medical care costs at the end of life
T Balboni, M Balboni, ME Paulk, A Phelps, A Wright, J Peteet, S Block, ...
Cancer 117 (23), 5383-5391, 2011
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