Manuel pratique pour l’analyse statistique...

• Preface. Daniel Courgeau
• Introduction

1. From longitudinal analysis to event history analysis

2. A new paradigm

3. Minimum data

4. Formalization of the analysis

7. Recap

8. Objectives of this guide

9. Notations used throughout this guide

• Chapter 1. Comparison of software applications

1. Software packages compared

2. Commands described in this guide

3. Data files

• Chapter 2. Non-parametric analysis of a single event

1. Introduction

2. Instructions in SAS, TDA and STAT

3. Kaplan-Meier method (product-limit estimate)

4. Actuarial methode

5. Handling mising values

6. Comparing survival functiuns for diffrenet groupss

7. Cumulative intensity curves H(t): the problem of competing risks

• Chapter 3. Parametric analysis of a single event

1. Theory

2. Different types of distribution

3. Analysis with the Weibull model4. Estimating a Weibull model.

• Chapter 4. Semi-parametric analysis of a single event: Cox model

1. Introduction

2. Theory

3. Checking the assumption that risks ara proportional

4. SAS - using PROC PHREG

5. TDA - Using Rate = 1

6. STATA version 4.0

7. STATA version 5.0

Chapter 5. Output and graphs

1. The two operatin modes availbale in SAS

2. The three programming methods used in SAS

3. TDA : Output and graphs for a non-parametric analyssi

4. STATA

Conclusion

Appendix