Analysis of Clinical Trials Using SAS: A Practical Guide <p></p>Publisher: SAS Institute 2005 <p></p>Authors: Alex Dmitrienko, Geert Molenberghs, etc. <p></p>Contents <p></p>1 Analysis of Stratified Data 1 <p></p> 1.1 Introduction 1 <p></p> 1.2 Continuous Endpoints 3 <p></p> 1.3 Categorical Endpoints 19 <p></p> 1.4 Time-to-Event Endpoints 40 <p></p> 1.5 Tests for Qualitative Interactions 56 <p></p>2 Multiple Comparisons and Multiple Endpoints 67 <p></p> 2.1 Introduction 67 <p></p> 2.2 Single-Step Tests 70 <p></p> 2.3 Closed Testing Methods 74 <p></p> 2.4 Fixed-Sequence Testing Methods 84 <p></p> 2.5 Resampling-Based Testing Methods 89 <p></p> 2.6 Testing Procedures for Multiple Endpoints 94 <p></p> 2.7 Gatekeeping Strategies 104 <p></p>3 Analysis of Safety and Diagnostic Data 129 <p></p> 3.1 Introduction 129 <p></p> 3.2 Reference Intervals for Safety and Diagnostic Measures 130 <p></p> 3.3 Analysis of Shift Tables 157 <p></p>4 Interim Data Monitoring 177 <p></p> 4.1 Introduction 177 <p></p> 4.2 Repeated Significance Tests 181 <p></p> 4.3 Stochastic Curtailment Tests 235 <p></p>5 Analysis of Incomplete Data 269 <p></p> 5.1 Introduction 269 <p></p> 5.2 Case Studies 271 <p></p> 5.3 Data Setting and Modeling Framework 273 <p></p> 5.4 Analysis of Complete Growth Data 276 <p></p> 5.5 Simple Methods and MCAR 287 <p></p> 5.6 Available Case Methods 300 <p></p> 5.7 Likelihood-Based Ignorable Analyses 301 <p></p> 5.8 Multiple Imputation 308 <p></p> 5.9 The EM Algorithm 326 <p></p> 5.10 Categorical Data 332 <p></p> 5.11 MNAR and Sensitivity Analysis 353 <p></p><p> 5.12 Summary 354</p><p>
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