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- Bio-Statistical Blog
- 1. Statistic’s Dirty Little Secret
- 1.A Another view on testing by Peter Flom, PhD
- 1.B Am I a nattering nabob of negativism?
- 2. Why do we compute p-values?
- 3. Meaningful ways to determine the adequacy of a treatment effect when you have an intuitive knowledge of the dependent variable
- 4. Meaningful ways to determine the adequacy of a treatment effect when you lack an intuitive knowledge of the dependent variable
- 5. Accepting the null hypothesis
- 6. ‘Lies, Damned Lies, and Statistics’ part 1, and Analysis Plans, an essential tool
- 7. Assumptions of Statistical Tests
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Stat comments and Questions
- Allen Fleishman on 22. A question on QoL, Percentage Change from Baseline, and Compassionate-Usage Protocols
- Kate on 22. A question on QoL, Percentage Change from Baseline, and Compassionate-Usage Protocols
- Allen Fleishman on 24. Simple, but Simple-Minded
- Victor Levenson on 24. Simple, but Simple-Minded
- Allen Fleishman on 24. Simple, but Simple-Minded
- Victor Levenson on 24. Simple, but Simple-Minded
- Allen Fleishman on 12. Significant p-values in small samples
- Merm on 12. Significant p-values in small samples
- Allen Fleishman on 12. Significant p-values in small samples
- Phil Assheton on 12. Significant p-values in small samples
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Category Archives: Adaptive Trial
17. Statistical Freebies/Cheapies – Multiple Comparisons and Adaptive Trials without self-immolation
If you shoot enough arrows, everyone can hit a bull’s-eye Free! Free! Free! BOGO – Buy One Get One Free *** Multiple Comparison Problem: If you shoot at a target once and hit the bull’s-eye, then you’ve clearly hit your … Continue reading
