Biostatistics 140.651 and 140.652 Methods in Biostatistics I and II

Resources

Review notes

Exams 1 and 2 for 2005
Exam 1 for 2006
Review notes for Exam 1

651 Homework

You can download the homework on the calendar

Lecture Notes

You can download the lecture notes on the calendar

R notes

Editor (suggested) Winedt (get the R Winedt add-ons at CRAN)
Verzani's notes on introductory statistics in R
Maindonald's note on introductory statistics in R
Faraway's notes on regression and ANOVA in R
Paradis' R for beginners
Burns' guide for the unwilling R user
Baron's R reference card
Short's R reference card
Karl's R web page
R plotting for beginners
Steve Schachterle's R code

Books, papers and articles

Mathematical Statistics and Data Analysis by John A. Rice; Duxbury Press.
Fundamentals of Biostatistics by Rosner; Duxbury Press
Modern Applied Statistics with S by Venables and Ripley; Springer.
Flawed Statistics in Murder Trial May Cost Expert His Medical License
The Wainer article on displaying data badly (requires access to Jstor).
Gosset's article about the t distribution

R code from the class

Here's some R code for some of the figures we've used in class. Ignore the "postscript" commands that are commented out. That's for generating a postscript file.
binomial HPDs two binomial Bayes
expectation.R exponential.R coinLikelihood.R
bernoulliLikelihood.R varianceLikelihood.R stdNormal.R
qqnorm.R normalLikelihoodMean.R hist.R
coinCLT.R die.R lln.R
binomial.R beta.R binomialBayes.R
hpd.R
Optical.R Optical2.R Optical3.R
Optical4.R kappa.R captureRecapture.R

Famous statisticians/mathematicians that we'll talk about

Abraham de Moivre Jakob Bernoulli Thomas Bayes
Karl Friedrich Gauss Francis Galton Ronald Fisher
William Sealey Gosset Karl Pearson John Tukey
Andrey Kolmogorov Pafnuty Chebyshev Abraham Wald