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This is the schedule used to deliver educational content offered by JHSPH. As a result, some of the information and/or materials listed here may not be relevant to or available for an OCW user's self-directed study.

Schedule

For Lectures 1-14, please visit Methods in Biostatistics I (140.651)

SESSION #	TOPIC	ACTIVITIES

15	Hypothesis Testing 1. Introduce hypothesis testing 2. Cover hypothesis testing for a single mean 3. Z and T tests for a single mean 4. Confidence interval equivalences 5. P-values	Lecture Hypothesis Testing Graphs Read Rosner Chapt 7.1-7.7
16	Power and sample size and two group tests 1. Power 2. Power for a one sided normal test 3. Power for t-test	Lecture Hypothesis Testing Review Read Rosner 8.1-8.8 and 8.10-8.12
17	Power and sample size and two group tests 1. Paired difference hypothesis tests 2. Independent group differences hypothesis tests	Lecture Hypothesis Testing Review Read Rosner 8.1-8.8 and 8.10-8.12
18	Tests for binomial proportions 1. Tests for a binomial proportion 2. Score test versus Wald 3. Exact binomial test 4. Tests for differences in binomial proportions 5. Intervals for differences in binomial proportions	Lecture Read Rosner 7.10
19	Two sample binomial tests, delta method 1. Define relative risk 2. Odds ratio 3. Confidence intervals	Lecture Read Rosner 10.1, 10.2, 13.1-13.3
20	Two sample binomial tests, delta method 1. Review two sample binomial results 2. Delta method	Lecture Read Rosner 10.1, 10.2, 13.1-13.3
21	Fisher's exact tests, Chi-squared tests 1. Introduce Fisher's exact test 2. Illustrate Monte Carlo version of test	Lecture Read Rosner 10.2, 10.3, 10.6-10.9
22	Fisher's exact tests, Chi-squared tests 1. Chi-squared tests for equivalence of two binomial proportions 2. Chi-squared tests for independence, 2 x 2 tables 3. Chi-squared tests for multiple binomial proportions 4. Chi-squared tests for independence, r x c tables 5. Chi-squared tests for goodness of fit	Lecture Multinomial Distribution Notes Read Rosner 10.2, 10.3, 10.6-10.9
23	Simpson's pardox, confounding 1. Simpson's paradox 2.Weighting 3. CMH estimate 4. CMH test	Lecture Read Rosner 13.4 & 13.5
24	Retrospective case-control studies, exact inference for the odds ratio 1. Odds ratios for retrospective studies 2. Odds ratios approximating the prospective RR 3. Exact inference for the odds ratio	Lecture
25	Methods for matched pairs, McNemar's, conditional versus marginal odds ratios 1. Hypothesis tests of marginal homgeneity 2. Estimating marginal risk differences 3. Estimating marginal odds ratios 4. A brief note on the distinction between conditional and marginal odds ratios	Lecture Adendum Read Rosner 10.4
26	Non-parametric tests, permutation tests 1. Distribution-free tests 2. Sign test 3. Sign rank test 4. Rank sum test 5. Discussion of non-parametric tests	Lecture
27	Inference for Poisson counts 1. Poisson distribution 2. Tests of hypothesis for a single Poisson mean 3. Comparing multiple Poisson means 4. Likelihood equivalence with exponential model	Lecture
28	Multiplicity 1. Familywise error rates 2. Bonferoni procedure 3. Performance of Bonferoni with multiple independent tests 4. False discovery rate procedure	Lecture

30	More contingency table stuff 1. Capture/recapture models 2. Inter-rater agreement, Kappa	Lecture