Richard Wyss
Richard Wyss
Brigham and Women's Hospital/Harvard Medical School
Email confirmado em - Página inicial
Citado por
Citado por
Propensity score methods for confounding control in nonexperimental research
MA Brookhart, R Wyss, JB Layton, T Stürmer
Circulation: Cardiovascular Quality and Outcomes 6 (5), 604-611, 2013
Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs
T Stürmer, R Wyss, RJ Glynn, MA Brookhart
Journal of internal medicine 275 (6), 570-580, 2014
The role of prediction modeling in propensity score estimation: an evaluation of logistic regression, bCART, and the covariate-balancing propensity score
R Wyss, AR Ellis, MA Brookhart, CJ Girman, M Jonsson Funk, R LoCasale, ...
American journal of epidemiology 180 (6), 645-655, 2014
Variable selection for propensity score models when estimating treatment effects on multiple outcomes: a simulation study
R Wyss, CJ Girman, RJ LoCasale, M Alan Brookhart, T Stürmer
Pharmacoepidemiology and drug safety 22 (1), 77-85, 2013
Using super learner prediction modeling to improve high-dimensional propensity score estimation
R Wyss, S Schneeweiss, M Van Der Laan, SD Lendle, C Ju, JM Franklin
Epidemiology 29 (1), 96-106, 2018
Relative performance of propensity score matching strategies for subgroup analyses
SV Wang, Y Jin, B Fireman, S Gruber, M He, R Wyss, HJ Shin, Y Ma, ...
American journal of epidemiology 187 (8), 1799-1807, 2018
Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods
C Ju, M Combs, SD Lendle, JM Franklin, R Wyss, S Schneeweiss, ...
Journal of Applied Statistics, 2019
Scalable collaborative targeted learning for high-dimensional data
C Ju, S Gruber, SD Lendle, A Chambaz, JM Franklin, R Wyss, ...
Statistical methods in medical research 28 (2), 532-554, 2019
Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data
C Ju, R Wyss, JM Franklin, S Schneeweiss, J Häggström, ...
Statistical methods in medical research 28 (4), 1044-1063, 2019
Propensity score weighting and trimming strategies for reducing variance and bias of treatment effect estimates: a simulation study
T Stürmer, M Webster-Clark, JL Lund, R Wyss, AR Ellis, M Lunt, ...
American journal of epidemiology 190 (8), 1659-1670, 2021
Matching on the disease risk score in comparative effectiveness research of new treatments
R Wyss, AR Ellis, MA Brookhart, M Jonsson Funk, CJ Girman, ...
Pharmacoepidemiology and drug safety 24 (9), 951-961, 2015
Occurrence of inflammatory bowel disease in patients with chronic inflammatory skin diseases: a cohort study
MC Schneeweiss, J Kirchgesner, R Wyss, Y Jin, C York, JF Merola, ...
British Journal of Dermatology 187 (5), 692-703, 2022
Dupilumab and the risk of conjunctivitis and serious infection in patients with atopic dermatitis: A propensity score–matched cohort study
MC Schneeweiss, SC Kim, R Wyss, S Schneeweiss, JF Merola
Journal of the American Academy of Dermatology 84 (2), 300-311, 2021
A review of the performance of different methods for propensity score matched subgroup analyses and a summary of their application in peer‐reviewed research studies
SV Wang, M He, Y Jin, R Wyss, HJ Shin, Y Ma, S Keeton, B Fireman, ...
Pharmacoepidemiology and Drug Safety 26 (12), 1507-1512, 2017
Reducing bias amplification in the presence of unmeasured confounding through out-of-sample estimation strategies for the disease risk score
R Wyss, M Lunt, MA Brookhart, RJ Glynn, T Stürmer
Journal of causal inference 2 (2), 131-146, 2014
Incidence of venous thromboembolism in patients with dermatologist-diagnosed chronic inflammatory skin diseases
MC Schneeweiss, SC Kim, R Wyss, Y Jin, K Chin, JF Merola, ...
JAMA dermatology 157 (7), 805-816, 2021
Controlling confounding by frailty when estimating influenza vaccine effectiveness using predictors of dependency in activities of daily living
HT Zhang, LJ McGrath, R Wyss, AR Ellis, T Stürmer
Pharmacoepidemiology and drug safety 26 (12), 1500-1506, 2017
The “dry-run” analysis: a method for evaluating risk scores for confounding control
R Wyss, BB Hansen, AR Ellis, JJ Gagne, RJ Desai, RJ Glynn, T Stürmer
American journal of epidemiology 185 (9), 842-852, 2017
Erratum: high-dimensional propensity score adjustment in studies of treatment effects using health care claims data
R Wyss, B Fireman, JA Rassen, S Schneeweiss
Epidemiology 29 (6), e63-e64, 2018
A review of disease risk scores and their application in pharmacoepidemiology
R Wyss, RJ Glynn, JJ Gagne
Current Epidemiology Reports 3, 277-284, 2016
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20