Table of Contents
Introduction to R
What Is R?
Steps on Installing R and Updating R Packages R for Clinical Trials A Simple Simulated Clinical Trial Concluding Remarks
Overview of Clinical Trials
Introduction Phases of Clinical Trials and Objectives The Clinical Development Plan Biostatistical Aspects of a Protocol
Treatment Comparisons in Clinical Trials
Data from Clinical Trials Statistical Models for Treatment Comparisons Data Analysis in R
Treatment Comparisons in Clinical Trials with Covariates
Data from Clinical Trials Statistical Models Incorporating Covariates Data Analysis in R
Analysis of Clinical Trials with Time-to-Event Endpoints
Clinical Trials with Time-to-Event Data Statistical Models Statistical Methods for Right-Censored Data Statistical Methods for Interval-Censored Data Step-by-Step Implementations in R
Analysis of Data from Longitudinal Clinical Trials
Clinical Trials Statistical Models Analysis of Data from Longitudinal Clinical Trials
Sample Size Determination and Power Calculation in Clinical Trials
Prerequisites for Sample Size Determination Comparison of Two Treatment Groups with Continuous Endpoints Two Binomial Proportions Time-to-Event Endpoint Design of Group Sequential Trials Longitudinal Trials Relative Changes and Coefficient of Variation: An Extra
Meta-Analysis of Clinical Trials
Data from Clinical Trials Statistical Models for Meta-Analysis Meta-Analysis of Data in R
Bayesian Analysis Methods in Clinical Trials
Bayesian Models R Packages in Bayesian Modeling MCMC Simulations Bayesian Data Analysis
Analysis of Bioequivalence Clinical Trials
Data from Bioequivalence Clinical Trials Bioequivalence Clinical Trial Endpoints Statistical Methods to Analyze Bioequivalence Step-by-Step Implementation in R
Analysis of Adverse Events in Clinical Trials
Adverse Event Data from a Clinical Trial Statistical Methods Step-by-Step Implementation in R
Analysis of DNA Microarrays in Clinical Trials
DNA Microarray Breast Cancer Data
Bibliography
Index
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