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