O'Reilly logo

Analysis of Clinical Trials Using SAS by Geert Molenberghs, Walter W. Offen, Christy Chuang-Stein, Alex Dmitrienko

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Analysis of Incomplete Data     5

 

 

5.1 Introduction

5.2 Case Studies

5.3 Data Setting and Modeling Framework

5.4 Analysis of Complete Growth Data

5.5 Simple Methods and MCAR

5.6 Available Case Methods

5.7 Likelihood-Based Ignorable Analyses

5.8 Multiple Imputation

5.9 The EM Algorithm

5.10 Categorical Data

5.11 MNAR and Sensitivity Analysis

5.12 Summary

 

 

A large number of empirical studies are prone to incompleteness. Over the last decades, a number of methods have been developed to handle incomplete data. Many of these methods are relatively simple, but their validity can be questioned. With increasing computational power and software tools available, more flexible methods have come within reach. This chapter sketches a general taxonomy ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required