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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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- 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
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- Allen Fleishman on 12. Significant p-values in small samples
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Category Archives: Nominal
9. Dichotomization as the Devils Tool
There are two types of people, those who classify people into two types of people and those who don’t. Never trust anyone over thirty. As Mason said to Dixon, ‘you gotta draw the line somewhere’. *** Don’t get me wrong, … Continue reading
Posted in Biostatistics, Dichotomization, Interval, Nominal, Ordinal, p-values, Power, Statistics
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22. A question on QoL, Percentage Change from Baseline, and Compassionate-Usage Protocols
Yesterday was 1 degree Fahrenheit and today is 10. I’m ten times warmer!! Compassion? We statisticians have evolved beyond such petty human affects. I received the following question from Simon Wilkinson from New Zealand: Dear Allen. To set the scene, … Continue reading
