Clinical Trial Data Analysis Using R
Clinical Trial Data Analysis Using R
复制标题
使用 R 进行临床试验数据分析
作者：
D. Chen;K. Peace
什么是R？安装R和更新R软件包的步骤R for Clinical Trials一个简单的模拟临床试验总结语临床试验概述介绍临床试验阶段和目的临床开发计划方案的生物统计学方面临床试验中的治疗比较临床试验数据治疗比较的统计模型R中的数据分析临床试验中的治疗比较与协变量临床试验数据试验统计模型验证协变量的R分析有时间事件终点的临床试验有时间事件数据的临床试验统计模型右删失数据的统计方法区间删失数据的统计方法逐步纵向临床试验数据的R分析的分步实现纵向临床试验数据的统计模型分析样本量临床试验中样本量确定的确定和把握度计算两个治疗组连续终点的比较两个二项式比例成组序贯试验的事件发生时间终点设计纵向试验相对变化和变异系数：临床试验数据的额外荟萃分析来自荟萃分析统计模型Meta-R中的数据分析临床试验中的贝叶斯分析方法贝叶斯模型R中的贝叶斯建模包MCMC模拟贝叶斯数据分析生物等效性临床试验数据生物等效性临床试验终点分析生物等效性的统计方法逐步-临床试验中不良事件的逐步实施临床试验中不良事件数据的逐步实施统计方法临床试验中DNA微阵列的逐步实施临床试验中DNA微阵列数据的分析乳腺癌数据参考书目索引结束语出现在每章的末尾。
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 Concluding Remarks appear at the end of each chapter.