Contents
Dusseldorp, E. (2001). Discovering Treatment Covariate Interaction: An Integration of Regression Trees and Multiple Regression. Unpublished doctoral thesis, Leiden University, Leiden, the Netherlands.
1 General Introduction
1.1 Research Question 1
1.1.1 Type of Data 1
1.1.2 Treatment Covariate Interaction 2
1.2 Classical Analysis Approaches to Treatment Covariate Interaction 3
1.2.1 Types of Treatment Covariate Interactions 3
1.3 New Approach to Treatment Covariate Interaction
1.3.1 Regression Trees 6
1.3.2 Advantages of the Regression Trunk Approach 8
1.3.3 Regression Trunk Approach as Data Mining Technique 9
1.4 Outline 9
1.5 References 12
2 Application of Data Mining Tools in the Behavioral Sciences 15
2.1 Introduction 16
2.2 Specifics of the Behavioral Sciences 17
2.3 Characteristics of the Available Data 18
2.4 State of the Art for Data Mining Applications 19
2.4.1 Suitable Techniques for the Selection of Variables 20
2.5 Application of Data Mining to the PEP Data 22
2.5.1 Results 27
2.6 Discussion and Challenges for the Future 30
2.7 References 31
3 A New Perspective on Interaction in Regression: The Regression Trunk Approach 33
3.1 Introduction 34
3.2 The Regression Trunk Approach 37
3.3 The Simulation Study 40
3.3.1 Results of the Simulation Study 44
3.4 Real Data Example: The Cox and Wermuth Analysis of Glucose Control 48
3.5 Discussion 50
3.6 References 53
4 Prediction in Medicine by Integration of Regression Trees into Regression Analysis with Optimal Scaling 55
4.1 Introduction 56
4.2 Statistical Analysis 58
4.3 Application to Psychoeducational Prevention Data 60
4.4 Discussion 66
4.5 References 69
5 The Regression Trunk Approach to Discover Treatment Covariate Interaction 73
5.1 Introduction 74
5.1.1 Existing Analysis Approaches to Treatment Covariate Interaction 74
5.1.2 Regression Trees 75
5.1.3 New Approach to Treatment Covariate Interaction 77
5.2 Regression Trunk Approach to TCI 77
5.3 Simulation Studies 79
5.3.1 Results of Simulation Study 1 85
5.3.2 Results of Simulation Study 2 87
5.4 Real Data Example: The Treatment of Panic Disorder Study 88
5.4.1 Results of the Real Data Example 90
5.5 Discussion 94
5.6 References 96
6 A Meta-Analysis of Psychoeducational Programs for Coronary Heart Disease Patients 99
6.1 Introduction 100
6.2 Method 103
6.2.1 Selection of Studies 103
6.2.2 Coding 104
6.2.3 Effect Size Computation 106
6.2.4 Statistical Analysis 107
6.3 Results 110
6.3.1 Description of Study Features 110
6.3.2 Population Effect Sizes and Moderators 111
6.4 Discussion 119
6.5 References 123
7 General Discussion 131
7.1 Summary 131
7.2 Discussion of the Regression Trunk Approach 133
7.2.1 Differences Between the Descriptions 134
7.2.2 Remaining Issues to be Tested 135
7.3 The Use of Regression Trees in Meta-Analysis 138
7.4 Generalization to Classification Problems 139
7.5 References 140
Nederlandse Samenvatting (Summary in Dutch) 141
Curriculum Vitae 149