The Use of Restricted Significance Tests in Clinical Trials
The reader will soon find that this is more than a "how-to-do-it" book. It describes a philosophical approach to the use of statistics in the analysis of clinical trials. I have come gradually to the position described here, but I have not come that way alone. This approach is heavily infl...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
1992, 1992
|
| Edition: | 1st ed. 1992 |
| Series: | Statistics for Biology and Health
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- One Philosophical and Scientific Problems when Applying Statistical Methods to Clinical Data
- 1 The Randomized Controlled Clinical Trial
- 2 Probability Models and Clinical Medicine
- 3 Significance Tests Versus Hypothesis Tests
- 4 Neyman’s Insights
- 5 Reconciling Fisher and Neyman
- Two Techniques for Applying Restricted Tests to Data from Randomized Controlled Clinical Trials
- 6 Continuous Measures Taken over Time
- 7 Combining Data Across Measures
- 8 Counts of Events
- 9 Permutation Tests and Resampling Techniques
- 10 Neyman’s Restricted Chi Square Tests
- 11 Miscellaneous Methods for Increasing Power
- 12 Bayesian Estimation
- 13 An Example of the Type of Analysis Suggested in This Book
- References