Sumários
7ª Aula
31 Outubro 2019, 16:00 • Maria Salomé Esteves Cabral
Task Sheet1: Resolution of exercises 3 and 4.
6.Statistical Analysis of RCT. Matched Pairs.
6.1 Models for Continuous Endpoints
6.1.1 The paired t-test. Confidence intervals
Example 6.1.1 (cont) (Exercises 3:1)
6.1.2 Power of the test. Sample size.
Example 6.1.2 (Exercises 3:2)
6.1.3 Wilcoxon paired-sample test
Example 6.1.2
R package
The use of wilcox.test and wilcox.exact functions.
Exercises 3: 3
6.2 Models for Categorical Endpoints
6.2.1 McNemar test
Example 6.1.2
6.2.2 Power of the test. Sample size.
Example 6.2.2
6ª Aula
24 Outubro 2019, 17:30 • Maria Salomé Esteves Cabral
5. Statistical Analysis of RCT. Parallel Group Design. Two Groups
5.2 Models for Categorical Endpoints
5.2.1 Chi-square test. Fisher exact test. Example 5.2.1
5.2.2 Confidence interval.
5.2.3 Odds, Odds Ratio and other measures
5.2.4 Power of the test. Sample size required. Minimum detectable
difference. Examples 5.2.2; 5.2.3 and 5.2.4
R package
(i) The use of prop.test and fisher.test functions
Exercises 2: Resolution of exercise 10
(ii) The use of power.prop.test and dimdif function
Exercises 2: Resolution of exercises 11, 12, 13 e 14
6ª Aula
24 Outubro 2019, 16:00 • Maria Salomé Esteves Cabral
5. Statistical Analysis of RCT. Parallel Group Design. Two Groups
Conclusion of sample size determination.
Task Sheet1: Resolution of exercises 1 and 2
Teste de Wilcoxon Mann-Whitney.
Exampe 5.1.6 and the R package
Exercises 2: Resolution of exercise 9
5ª Aula
17 Outubro 2019, 17:30 • Maria Salomé Esteves Cabral
5. Statistical Analysis of RCT. Parallel Group Design. Two Groups
(i)The sample size to obtain a given power
(ii)The minimum detectable difference for a given sample size
and power
The non-central t-Student distribution.
The use of power.t.test function in R package
Exercises 2- Resolution of exercise 8
HomeWork: Exercise 7
5ª Aula
17 Outubro 2019, 16:00 • Maria Salomé Esteves Cabral
5. Statistical Analysis of RCT. Parallel Group Design. Two Groups
5.1.1 The Behrens-Fisher problem and the t-Test. Conclusion 5.1.2 Confidence interval.
The use of t.test function in R package
Examples 5.1.1 and 5.1.2
Exercises 2: 4 and 5
5.1.3 Power of the test.
5.1.4 Sample size determination