Discover open access scientific publications

Search, annotate, share and cite publications

Publications by Daniel Scharfstein

Improving Precision and Power in Randomized Trials for COVID-19 Treatments Using Covariate Adjustment, for Ordinal or Time to Event Outcomes

English

Related publications

Sensitivity Analysis for Missing Outcomes in Time-To-Event Data With Covariate Adjustment

Journal of Biopharmaceutical Statistics

English

Covariate Adjustment in Randomized Trials With Binary Outcomes: Targeted Maximum Likelihood Estimation

Statistics in Medicine

English

Adjustment for Treatment Changes in Epilepsy Trials: A Comparison of Causal Methods for Time-To-Event Outcomes

Statistical Methods in Medical Research

Health Information Management

English

Empirical Comparison of Four Baseline Covariate Adjustment Methods in Analysis of Continuous Outcomes in Randomized Controlled Trials

Clinical Epidemiology

English

Covariate-Adjusted Survival Analyses in Propensity-Score Matched Samples: Imputing Potential Time-To-Event Outcomes

Statistical Methods in Medical Research

Health Information Management

English

Statistical Test/Estimation Methods Used in Contemporary Phase III Cancer Randomized Controlled Trials With Time‐to‐Event Outcomes

Cancer Research

English

Choosing an Imbalance Metric for Covariate-Constrained Randomization in Multiple-Arm Cluster-Randomized Trials

English

Covid-19: What Treatments Are Being Investigated?

British Medical Journal

English

Statistical Inference of Covariate-Adaptive Randomized Clinical Trials

English