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CLRES 2020: BIOSTATISTICS - University of Pittsburgh

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Due Today: Homework assignment 5<br />

Session 19: Analysis <strong>of</strong> categorical data (II)<br />

At the conclusion <strong>of</strong> this lecture, the student will be able to:<br />

Topics:<br />

5. Test equal proportions for one or two groups <strong>of</strong> binary data<br />

6. Analysis data from contingency tables<br />

7. Analysis matched binary data<br />

8. Measure agreement between two raters<br />

6. One and two sample tests <strong>of</strong> proportions and CI<br />

7. Power and sample size estimations for proportion tests<br />

8. Chi-square and Fisher’s exact test for contingency tables<br />

9. McNemar’s test for matched binary data<br />

10. Kappa statistic for rater agreement<br />

Required Reading:<br />

• Rosner’s Book Chapter 10<br />

Session 20: Introduction to logistic regression & survival analysis<br />

At the conclusion <strong>of</strong> this lecture, the student will be able to:<br />

Topics:<br />

1. Understand the basic ideas <strong>of</strong> logistic regression<br />

1. Basic concepts <strong>of</strong> logistic regression<br />

2. The logit transformation<br />

3. Estimation technique<br />

4. Interpretation<br />

5. Model adequacy checking<br />

6. Multinomial logistic regression<br />

Session 21: Introduction to correlated data analysis<br />

At the conclusion <strong>of</strong> this lecture, the student will be able to:<br />

Topics:<br />

1. Understand the basic ideas <strong>of</strong> survival analysis and correlated data analysis<br />

1. Nature <strong>of</strong> problems for survival analysis<br />

2. Survival or life expectancy<br />

3. Kaplan-Meier curves and actuarial survival<br />

4. Log Rank statistics<br />

5. Hazard <strong>of</strong> death<br />

6. Parametric survival regression models<br />

7. Cox proportional hazards models<br />

11

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