CLRES 2020: BIOSTATISTICS - University of Pittsburgh
CLRES 2020: BIOSTATISTICS - University of Pittsburgh
CLRES 2020: BIOSTATISTICS - University of Pittsburgh
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8. Parameter estimation<br />
9. Hypothesis testing<br />
10. Evaluating the regression model<br />
Required Reading:<br />
• Rosner’s Book Chapter 11<br />
Session 17: Power & Sample size calculations<br />
At the conclusion <strong>of</strong> this lecture, the student will be able to:<br />
Topics:<br />
1. Estimate power and sample size for one and two sample Z test<br />
1. Review type I, type II error and power<br />
2. Power estimation for one-sample Z test<br />
3. Factors affecting power<br />
4. Sample size estimation for one-sample Z test<br />
5. Power and sample size estimation for two-sample Z test<br />
6. Sample-size estimation for desired margin <strong>of</strong> error<br />
Required Reading:<br />
• Rosner’s Book Chapter 13<br />
Homework assignment 6:<br />
1. Sample size estimation<br />
2. Contingency table analysis<br />
Session 18: Analysis <strong>of</strong> categorical data (I)<br />
At the conclusion <strong>of</strong> this lecture, the student will be able to:<br />
Topics:<br />
1. Test equal proportions for one or two groups <strong>of</strong> binary data<br />
2. Analysis data from contingency tables<br />
3. Analysis matched binary data<br />
4. Measure agreement between two raters<br />
1. One and two sample tests <strong>of</strong> proportions and CI<br />
2. Power and sample size estimations for proportion tests<br />
3. Chi-square and Fisher’s exact test for contingency tables<br />
4. McNemar’s test for matched binary data<br />
5. Kappa statistic for rater agreement<br />
Required Reading:<br />
• Rosner’s Book Chapter 10<br />
10