Biostatistics 140.651 and 140.652 Methods in Biostatistics I and II

Calendar

All dates for the lecture notes are tentative. All dates for the homework and exams are fixed. Note, students are responsible for corrections and additional examples covered in class.

651

Date Subject Reading Comments
8/31 Set theory basics, probability Lecture 1 Chapter 1
9/5 Introduction to probability Lecture 2 3.1-3.5, 4.1-4.3, 5.1-5.2
9/7 Expected values Lecture 3 4.4-4.5, 4.9 HW 1 is due
9/12 Random vectors, independence Lecture 4 3.4
9/14 Conditional probabilities, Bayes rule Lecture 5 3.6-3.9
9/19 Likelihood Lecture 6
9/21 Distributions Lecture 7 4.8, 4.9, 5.1-5.6 HW 2 is due
9/26 Exam 1
9/28 Asymptotics Lecture 86.1,6.2,6.5
10/3 Confidence intervals Lecture 9 6.7,6.8
10/5 Confidence intervals Lecture 10 8.3, 8.5 HW 3 is due
10/10Some basic plots lecture11 and Karl's slides on bad plotting also while on the topic of destroying content with gratuitous graphics, look at this true gem that highlights the perils of powerpoint Chapter 2
10/12Bootstrapping lecture 12 Class ends 20 minutes early
10/17Confidence intervals for binomial proportions lecture 13 and confidence interval interpretations 6.8
10/19Logs, geometric meansLecture 14 and Exam review HW 4 is due
10/24 Exam 2


652

Date Subject Reading Comments
10/26Hypothesis Testing Lecture 15 also see these files7.1-7.7
10/31Power 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
11/2 Tests for binomial proportions Lecture 187.10 HW 5 due
11/7 Two sample binomial tests, delta method Lecture 19 and Lecture 20 10.1, 10.2, 13.1-13.3
11/9 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
11/14 Simpson's pardox, confounding Lecture 23 13.4,13.5
11/16 Retrospective case-control studies, exact inference for the odds ratio Lecture 2413.1-13.3 HW 6 due on Friday the 17th
11/21 Midterm Exam
11/23 No class
11/28 Methods for matched pairs, McNemar's, conditional versus marginal odds ratios Lecture 25 and this adendum 10.4
11/30 Non-parametric tests, permutation tests Lecture 26 Chapter 9
12/5 Inference for Poisson counts Lecture 27 14.1-14.3
12/7 Multiplicity Lecture 28 pages 573-576, 579-581 HW 7 NOTE THE NEW DUE DATE
12/12 ROC curves Lecture 29
12/14 More contingency table stuff Lecture 30 10.8
12/19 Exam review and some quotes HW 8 due
12/21 Final exam