Statistical Methods for Mediation, Confounding and Moderation Analysis Using R and SAS
Qingzhao Yu
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Association Models in Epidemiology : Study Designs, Modeling Strategies, and Analytic Methods
Hongjie (University of Maryland, USA) Liu
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Causal Inference in Pharmaceutical Statistics
Yixin (AbbVie, Chicago, USA) Fang
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Bayesian Precision Medicine
Peter F. (M.D. Anderson Cancer Center, Houston, Texas, USA) Thall
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Bayesian Precision Medicine
Peter F. (M.D. Anderson Cancer Center, Houston, Texas, USA) Thall
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Bayesian Precision Medicine
Peter F. (M.D. Anderson Cancer Center, Houston, Texas, USA) Thall
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Statistical Thinking in Clinical Trials
Michael A. (National Institute of Allergy and Infectious Dis Proschan
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Advanced Statistics in Regulatory Critical Clinical Initiatives
Wei (Sen. Director & Head of US site, Clin. Dvlpmt & Reg, PPC) Zhang
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Applied Microbiome Statistics : Correlation, Association, Interaction and Composition
Yinglin Xia
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Statistical Methods for Dynamic Disease Screening and Spatio-Temporal Disease Surveillance
Peihua Qiu
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Joint Models for Longitudinal and Time-to-Event Data : With Applications in R
Dimitris Rizopoulos
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Cluster Randomised Trials
Richard J. (London School of Hygiene & Tropical Medicine, UK) Hayes
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Estimands, Estimators and Sensitivity Analysis in Clinical Trials
Craig Mallinckrodt
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Sample Size Calculations in Clinical Research
Shein-Chung (Duke Univ, USA) Chow
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Estimands, Estimators and Sensitivity Analysis in Clinical Trials
Craig Mallinckrodt
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Joint Models for Longitudinal and Time-to-Event Data : With Applications in R
Dimitris Rizopoulos
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Patient-Reported Outcomes : Measurement, Implementation and Interpretation
Joseph C. (Pfizer, Inc., New London, Connecticut, USA) Cappelleri
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Statistical Topics in Health Economics and Outcomes Research
Demissie Alemayehu
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Real-World Evidence in Drug Development and Evaluation
Harry Yang
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Applied Meta-Analysis with R and Stata
Ding-Geng (Din) (University of North Carolina, USA) Chen
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Sample Size Calculations in Clinical Research
Shein-Chung (Duke Univ, USA) Chow
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Medical Risk Prediction Models : With Ties to Machine Learning
Thomas A. Gerds
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