Biostatistics (80%); Ken Hess

Bioinformatics (20%); Marek Kimmel
Weeks 11, 12, 13 (November)

Wk     Topic                                                                                        Chapter

1         Overview (study design, data, inference, S+)                  2.1 - 6
2         Comparing means (t-tests, ANOVA)                               2.7, 9.2
3         Nonparametric tests (rank-based)                                    2.8
4         Simulations, permutation tests, bootstrapping                 V & R
5         Comparing proportions (binomial, chi-square test)      3.1 - 5
6         Survival analysis (censoring, hazard function)               5.2 - 5.5
                                                                                                                11.1-11.4
7         Regression analysis (model, residuals)                             9.3, 9.8
8         Logistic regression analysis                                                10
9         Proportional hazard regression analysis                          11.5 - 11.8
10       Rates and counts (adjustment)                                          5.6, 11.9
11       Bioinformatics I (single DNA sequence)                       E & G
12       Bioinformatics II (sequence alignment)                         E & G
13       Bioinformatics III (phylogenetic trees)                          E & G
14       Power and Sample Size                                                      8
15       Review and miscellaneous topics
 

Main Text: Epidemiology: Study Design and Data Analysis. M Woodward, Chapman&Hall/CRC, 1999.

Suppl. Text: Modern Applied Statistics with S-Plus. 3rd Ed. WN Venables, BD Ripley, Springer, 1999.

Bioinformatics: Statistical Methods in Bioinformatics. WJ Ewens, GR Grant, Springer, 2001.