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Introduction
[1] Sept 5
- course description and evaluation
- introduction to statistical analysis in medicine
- math background
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- Colton
- Moore and McCabe
- Armitage and Berry
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Data Summaries and Descriptive Statistics
[2] Sept 7 - Sept 12
- types of data
- histograms
- stemplots
- boxplots
- means
- medians
- variance
- relocating/rescaling
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- Colton
- Chapter 2 pp 11--44
- Boxplots and stemplots not covered.
- Moore and McCabe
- Chapter 1 pp 1--58
- Chapter 2 pp 106--107
- Armitage and Berry
- Chapter 1 pp 4--40
- Boxplots, stemplots not covered
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Probability and Probability Distributions
[3] Sept 14 - Sept 21
- laws of probability
- discrete and continuous random variables
- expectation and variance of r.v.'s
- diagnostic tests and conditional probabilities
- Bayes Theorem
- Normal distribution
- area under Normal curve
- binomial distribution
- Normal approximation to the binomial
- Poisson distribution
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- Colton
- Moore and McCabe
- Chapter 1 pp 64--79
- Chapter 3 pp 267--275
- Chapter 4 pp 287--357
- Chapter 5 pp 374--390
- Diagnostic tests not covered
- Armitage and Berry
- Chapter 2 pp 41--77
- Chapter 16 pp 522--525
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Inference Concerning Means
[4] Sept 26 - Oct 19
- random sampling
- hypothesis testing for means
- type I and type II errors
- p-values
- confidence intervals for means
- t distribution
- paired and unpaired samples
- Bayesian inference
- sample size calculations and power
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- Colton
- Chapter 4 pp 99--146
- Bayes not covered
- Moore and McCabe
- Chapter 5 pp 397--405
- Chapter 6 pp 432--493
- Chapter 7 pp 502--555
- Bayes not covered
- Armitage and Berry
- Chapter 3 pp 78--84
- Chapter 4 pp 93--114, 146--149
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Midterm Exam
Tuesday October 24, 2000, 9:00 am - 11:00 am
- Room N2/D2, Stewart Biology Building
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Inference concerning proportions and counts
[5] Oct 26 - Nov 9
- hypothesis testing for proportions
- sample size calculations and power
- paired and unpaired samples
- chi_2-test to compare 2 or more proportions
- Fishers exact test
- Bayesian inference
- Mantel-Haenzel to combine 2 x 2 tables
- relative risk and odds ratios
- inference for count data
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- Colton
- Chapter 5 pp 151--183
- Bayes, Mantel- Haenzel, relative risk and odds ratio not covered
- Moore and McCabe
- Chapter 8 pp 584--609
- Fishers exact test, Bayes, Mantel-Haenzel, relative risk, odds ratios and counts not covered
- Armitage and Berry
- Chapter 3 pp 84--85
- Chapter 4 pp 118--152
- Chapter 16 pp 508-519
- Bayes not covered
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Nonparametric Statistics
[6] Nov 14 - Nov 16
- sign test
- Rank sum test
- Wilcoxon signed rank test
- CI for median
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- Colton
- Chapter 7 pp 219--226
- Sign test and CI not covered
- Moore and McCabe
- Chapter 14 (0n CDROM only)
- Armitage and Berry
- Chapter 13 pp 448--460
- CI not covered
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Regression and Correlation
[7] Nov 21 - Dec 5
- difference between regression and correlation
- scatter plots
- linear regression
- least squares method
- estimation of parameters in regression
- Bayesian inference in regression
- basic design in regression
- other types of regression
- Pearson's correlation
- Spearman's correlation
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- Colton
- Chapter 6 pp 189--214
- Bayes not covered
- Moore and McCabe
- Chapter 2 pp 126--168
- Chapter 10 pp 660--694
- Bayes not covered
- Armitage and Berry
- Chapter 5 pp 154--171
- Bayes not covered
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Final Exam
Thursday December 7, 2000, 9:00 am - 12:00 pm
- Room 129, Education Building
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