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Sample size calculations

Sample Size Calculations in Clinical Research
Jun Shao, Hansheng Wang, Shein-Chung Chow.

Chapter 3 : comparing means

3.1 one-sample design

3.1.1 test for equality
3.1.2 test for non-inferiority/superiority
3.1.3 test for equivalence

3.2 two sample parallel design

3.2.1 test for equality
3.2.2 test for non-inferiority/superiority
3.2.3 test for equivalence

3.3 two sample crossover design

3.3.1 test for equality
3.3.2 test for non-inferiority/superiority
3.3.3 test for equivalence

3.4 multiple-sample one-way anova

3.4.1 pairwise comparison
3.4.2 simultaneous comparison

3.5 multiple-sample williams design

3.5.1 test for equality
3.5.2 test for non-inferiority/superiority
3.5.3 test for equivalence

Chapter 4 : large sample tests for proportions

4.1 one-sample design

4.1.1 test for equality
4.1.2 test for non-inferiority/superiority
4.1.3 test for equivalence

4.2 two sample parallel design

4.2.1 test for equality
4.2.2 test for non-inferiority/superiority
4.2.3 test for equivalence

4.3 two sample crossover design

4.3.1 test for equality
4.3.2 test for non-inferiority/superiority
4.3.3 test for equivalence

4.4 one-way analysis of variance

4.4.1 pairwise comparison

4.5 williams design

4.5.1 test for equality
4.5.2 test for non-inferiority/superiority
4.5.3 test for equivalence

4.6 relative risk - parallel design

4.6.1 test for equality
4.6.2 test for non-inferiority/superiority
4.6.3 test for equivalence

4.7 relative risk - crossover design

4.7.1 test for equality
4.7.2 test for non-inferiority/superiority
4.7.3 test for equivalence

Chapter 5 : exact tests for proportions

5.1 binomial test
5.2 fisher's exact test

Chapter 6 : tests for goodness-of-fit and contingency tables

6.1 : tests for goodness-of-fit

6.1.1 pearson's test

6.2 : test for independence - single stratum

6.2.1 pearson's test
6.2.2 likelihood ratio test

6.3 : test for independence - multiple strata

6.3.1 cochran-mantel-haenszel test

6.4 : test for categorical shift

6.4.1 mcnaemar's test
6.4.1 stuart-maxwell test

6.5 : carry-over effect ets

Chapter 14 : nonparametrics

14.2 one-sample location problem


p2=0.30 p3=0.40 p4=0.05 alpha=0.05 pow=0.80 => n=383

14.3 two-sample location problem

p2=0.70 p3=0.80 p4=080 alpha=0.05 pow=0.80 => n=54

14.4 test for independence

p1=0.60 p2=0.70 alpha=0.05 pow=0.80 => n = 135

 

 

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