Statistics for Biomedical Informatics 2009

BMI 6105 - 3 course hours
12 January to 29 April 2009

Meets Mondays at 08:30 to 09:30 in HSEB 2948
and Wednesdays at 8:30 to 10:30 in HSEB 2938.

Midterm exam Resources
Week 1 The R statistical package and descriptive statistics, or EDA
Here's a pdf file for the first week's notes.
Download heights , heights2 , heights3 , and weights data.
Here's the file of m and m data from 2007 and and for 2008 .
And here's an R cheat sheet .
Week 2 Simulation and distribution theory. Alchemy
Here's a pdf file for this week's notes.
Here's some functions that help with problem 4. Put the file in your R directory and then type
> source("prob4")
to make the functions available.
Here's a source file for the R functions we made during the review class for assignment 2. Check out the two functions for generating Poissons from an Exponential distribution: q11() and q11a(). Do you see how q11a() works?
Week 3 Methods for Normal data. The usual suspects
This week's pdf file of notes.
Week 4 Robust methods. The rough and the ready
This week's pdf file of notes.
Some odd data to down load: odd data 1 and odd data 2 .
Week 5 Bivariate data. Double the data, double the fun
This week's pdf file of notes.
Some cholesterol data to play with
Some timed algorithm data to play with
Week 6 Analysis of variance. Really about means
This week's pdf file of notes.
Some fertilizer and crop yield data.
Some data about filling bottles .
Some test score data.
Some plant data.
Week 7 Multiple testing. Seek and ye shall find
This week's pdf file of notes.
The multiregress data set.
The lotsofps data set.
Week 8 Bootstrapping, jackknifing and cross validation. Reusing your data
This week's pdf file of notes.
The income data set.
Week 9 Markov chain Monte Carlo integration. MCMC
This week's pdf file of notes.
Week 10 Principles of statistical inference.
More theory than you ever want to know

This week's pdf file of notes.
The chisquared data set.