- Title Pages
- Dedication
- Acknowledgments
- Preface
- Epigraph
-
1 Introduction -
2 The Language of Clinical Trials -
3 The Recipe for Trials -
4 The Stages of Trials -
5 The Anatomy of Trials -
6 Authorship and Credits -
7 The Nature of Trials -
8 The Ethics of Trials -
9 Regulation of Trials -
10 Research Misconduct -
11 Myths Regarding Trials -
12 Tricks of the Trade from a Cynic -
13 Reading Between the Lines, or How to Read a Journal Article -
14 Critics and Criticisms -
15 What to Make of Results -
16 Biostatistics 101 -
17 Subgroup Analysis vs. Data Dredging -
18 Meta-analyses and Systematic Reviews -
19 Re-Search -
20 Shopping for a Trial? -
21 Readings -
22 Clinical Trials and Our Health -
23 Final Exam -
24 Last Words -
Appendix A The Mother Test for Designers of Trials -
Appendix B Rating Index for Clinical Trials -
Appendix C A Patient’s Guide for Deciding Whether to Enroll in a Randomized Trial -
Appendix D Abbreviations - References
- Author Index
- Subject Index
Subgroup Analysis vs. Data Dredging
Subgroup Analysis vs. Data Dredging
- Chapter:
- (p.151) 17 Subgroup Analysis vs. Data Dredging
- Source:
- An Insider’s Guide to Clinical Trials
- Author(s):
Curtis L. Meinert
- Publisher:
- Oxford University Press
This chapter argues that the trouble with subgroup analyses is not in doing them, but rather in their interpretations. The fact that investigators do not report results of subgroup analyses does not mean that they were not done, as some would have you believe in regard to gender as a subgrouping variable. The belief that gender-by-treatment interactions are unrecognized because investigators do not look for them is usually false. Most journals have word and table limits. Authors are not likely to use their word and table budgets reporting subgroup analyses unless they think there is something to report. The best that can be expected is a sentence indicating that subgroup analyses were done for designated variables and that no differences were found.
Keywords: clinical trial, subgroups, research data, subgroup analysis, gender
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- Title Pages
- Dedication
- Acknowledgments
- Preface
- Epigraph
-
1 Introduction -
2 The Language of Clinical Trials -
3 The Recipe for Trials -
4 The Stages of Trials -
5 The Anatomy of Trials -
6 Authorship and Credits -
7 The Nature of Trials -
8 The Ethics of Trials -
9 Regulation of Trials -
10 Research Misconduct -
11 Myths Regarding Trials -
12 Tricks of the Trade from a Cynic -
13 Reading Between the Lines, or How to Read a Journal Article -
14 Critics and Criticisms -
15 What to Make of Results -
16 Biostatistics 101 -
17 Subgroup Analysis vs. Data Dredging -
18 Meta-analyses and Systematic Reviews -
19 Re-Search -
20 Shopping for a Trial? -
21 Readings -
22 Clinical Trials and Our Health -
23 Final Exam -
24 Last Words -
Appendix A The Mother Test for Designers of Trials -
Appendix B Rating Index for Clinical Trials -
Appendix C A Patient’s Guide for Deciding Whether to Enroll in a Randomized Trial -
Appendix D Abbreviations - References
- Author Index
- Subject Index
