1. Introduction

   • Constantine Gatsonis
   • Frank Harrell
   • Emmett Keeler

   Introduction Pages: 175 - 175

2. Causes, Problems and Benefits of Different Between and Within Effects in the Analysis of Clustered Data

   • Mari Palta
   • Chris Seplaki

   OriginalPaper Pages: 177 - 193

3. Confounding Due to Cluster in Multicenter Studies—Causes and Cures

   • A. Russell Localio
   • Jesse A. Berlin
   • Thomas R. Ten Have

   OriginalPaper Pages: 195 - 210

4. A Method for Modeling Utilization Data from Multiple Sources: Application in a Study of Linkage to Primary Care

   • Nicholas J. Horton
   • Richard Saitz
   • Jeffrey H. Samet

   OriginalPaper Pages: 211 - 223

5. Assumptions when Analyzing Randomized Experiments with Noncompliance and Missing Outcomes

   • Fabrizia Mealli
   • Donald B. Rubin

   OriginalPaper Pages: 225 - 232

6. Quasi-Likelihood Analysis of Patient Satisfaction with Medical Care

   • John S. Preisser

   OriginalPaper Pages: 233 - 245

7. Data Mining and the Implementation of a Prospective Payment System for Inpatient Rehabilitation

   • Daniel Relles
   • Greg Ridgeway
   • Grace Carter

   OriginalPaper Pages: 247 - 266

8. Predicting Elderly at Risk of Increased Future Healthcare Use: How Much Does Diagnostic Information Add to Prior Utilization?

   • Carter C. Rakovski
   • Amy K. Rosen
   • Dan R. Berlowitz

   OriginalPaper Pages: 267 - 277

9. Imputing a Binary Variable from Donor to Recipient Dataset when Recipient Dataset Holds Restricted Information on the Variable

   • Kisalaya Basu
   • Vishnu Kapur

   OriginalPaper Pages: 279 - 288