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Annals of Statistics|December 17, 2013
CAUSAL INFERENCE FOR CONTINUOUS-TIME PROCESSES WHEN COVARIATES ARE OBSERVED ONLY AT DISCRETE TIMESMingyuan Zhang, Marshall M Joffe, Dylan S SmallHealth Affairs (Project Hope)|October 9, 2013
Hospitals with higher nurse staffing had lower odds of readmissions penalties than hospitals with lower staffingMatthew D McHugh, Julie Berez, Dylan S SmallBiometrics|July 12, 2024
Optimal refinement of strata to balance covariatesKatherine Brumberg, Dylan S Small, Paul R RosenbaumThe Annals of Applied Statistics|March 11, 2024
EVIDENCE FACTORS IN A CASE-CONTROL STUDY WITH APPLICATION TO THE EFFECT OF FLEXIBLE SIGMOIDOSCOPY SCREENING ON COLORECTAL CANCERBikram Karmakar, Chyke A Doubeni, Dylan S SmallStatistical Methods in Medical Research|August 19, 2015
A review of instrumental variable estimators for Mendelian randomizationStephen Burgess, Dylan S Small, Simon G ThompsonBiometrics|May 9, 2018
A powerful approach to the study of moderate effect modification in observational studiesKwonsang Lee, Dylan S Small, Paul R RosenbaumBMC Medical Research Methodology|September 22, 2020
Semiparametric estimation of the attributable fraction when there are interactions under monotonicity constraintsWei Wang, Dylan S Small, Michael O HarhayStatistics in Medicine|February 21, 2019
Sensitivity analyses for average treatment effects when outcome is censored by death in instrumental variable modelsKwonsang Lee, Scott A Lorch, Dylan S SmallJournal of Behavioral Medicine|August 2, 2019
After the gun: examining police visits and intimate partner violence following incidents involving a firearmDylan S Small, Susan B Sorenson, Richard A BerkInternational Journal of Epidemiology|July 13, 2019
Powerful three-sample genome-wide design and robust statistical inference in summary-data Mendelian randomizationQingyuan Zhao, Yang Chen, Jingshu Wang, et al.Pageof 31