CLRES 2020: BIOSTATISTICS - University of Pittsburgh
CLRES 2020: BIOSTATISTICS - University of Pittsburgh
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 />
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