# Biostatistics 140.651 and 140.652 Methods in Biostatistics I and II

## Calendar

All dates for the lecture notes are tentative. Except for the final homework of 140.652, homeworks are due Friday before 5:00 PM in the Biostatistics main office E3527. The final homework of 652 is due 12/18 at 5:00 PM in the Biostat main office. Note, students are responsible for corrections and additional examples covered in class. Some of the later links are dead as the content is being revised.

### 651

 Date Subject Reading Comments 8/30 Set theory basics, probability Lecture 1 Chapter 1 9/4 Introduction to probability Lecture 2 3.1-3.5, 4.1-4.3, 5.1-5.2 9/6 Expected values Lecture 3 4.4-4.5, 4.9 HW 1 is due 9/7 9/11 Random vectors, independence Lecture 4 3.4 9/13 Conditional probabilities, Bayes rule Lecture 5 3.6-3.9 9/18 Likelihood Lecture 6 9/20 Distributions Lecture 7 4.8, 4.9, 5.1-5.6 HW 2 is due 9/21 9/25 Midterm exam 9/27 Asymptotics Lecture 8 6.1,6.2,6.5 10/2 Confidence intervals Lecture 9 6.7,6.8 10/4 Confidence intervals Lecture 10 8.3, 8.5 HW 3 is due 10/5 10/9 Some basic plots lecture11 and Karl's slides on bad plotting Chapter 2 10/11 Bootstrapping lecture 12 and Tom's notes 10/16 Confidence intervals for binomial proportions lecture 13 and confidence interval interpretations 6.8 10/18 Logs, geometric meansLecture 14 and Exam review HW 4 is due 10/19 10/23 Final exam

### 652

 Date Subject Reading Comments 10/25 Hypothesis Testing Lecture 15 also see these files 7.1-7.7 10/30 Power and sample size and two group tests Lecture 16 and Lecture 17; also look at these review notes about hypothesis testing 8.1-8.8 8.10-8.12 11/1 Tests for binomial proportions Lecture 18 7.10 HW 5 due 11/2 11/6 Two sample binomial tests, delta method Lecture 19 and Lecture 20 10.1, 10.2, 13.1-13.3 11/8 Fisher's exact tests, Chi-squared tests Lecture 21 Lecture 22 also, some notes on the multinomial distribution 10.2,10.3-10.6-10.9 11/13 Simpson's pardox, confounding Lecture 23 13.4,13.5 11/15 Retrospective case-control studies, exact inference for the odds ratio Lecture 24 13.1-13.3 HW 6 due 11/16; also task1.csv 11/22 No class 11/27 Methods for matched pairs, McNemar's, conditional versus marginal odds ratiosLecture 25 10.4 11/29 Midterm Exam 12/4 Non-parametric tests, permutation tests Lecture 26 Chapter 9 12/6 Inference for Poisson counts Lecture 27 14.1-14.3 HW 7 due 12/7 12/11 Multiplicity Lecture 28 pages 573-576, 579-581 12/13 ROC curves Lecture 29 12/18 More contingency table stuff Lecture 30 10.8 HW 8 due 12/18 12/20 Final Exam some quotes