STA 2201S: Applied Statistics II Spring 2012

Exam has been marked and grades submitted.
Grades should appear on ROSI within a few days. My solutions

Here is the lab coat article, and the NY Times article about it.

April

Here is a screenshot for Q3 in the Review questions. (Thanks Adel!)

Final Test will be held on April 17, 13.10 -- 15.00, in SS 2105. No aids are permitted. Details on coverage for the test are in the slides of March 30.

March 30

Original article for teen gambling data (HW 3)
Annotated slides
Slides (1.38 pm)
Review for test

March 23

Annotated slides
Slides (1.34 pm)
Gelman, 2011 on ethics, in Chance, 24#4
Response Chance, 25#1
Baggerley and Coombes, Ann. Appl. Stat., 2009, 1309--1334.

Homework 3

Homework 3 due April 2.
An amendment to Q2b was made on March 20.

March 16

March 9

March 2

Homework 2

Homework 2 is due on March 5 before 5 pm.

Feb 29

Homework 1 solutions

Feb 17

Annotated slides
Slides (11.35 am)
R code for Example 10.18
R code for Example 10.19

Feb 10

Annotated slides
Slides (corrected -- sorry)
Code for butterfly example
Paper on speaking up
Link to WSJ news article on speaking up

Last minute reprieve

If needed, you can have an extension on HW 1 until Monday morning at 10. You can submit your homework by email, but at your own risk. If I don't reply to your email within an hour or two, it means I didn't get your homework.

Comments on HW 1, Q6

Clarification on the ``specifications'' can be found in this note.
In Part (a), the acceptance rate should have been defined as log((accepted + 1)/submitted); this has been corrected and the new version posted below.
You can provide plots on just 1 of the specifications; most likely III (A and B)

Feb 3

Annotated
Slides (11.15 am -- I'm getting better!)

Jan 27

Slides (1.21 pm)
GLM Notes from STA442

Homework 1

Homework 1 is due on February 10. The formula in Q6(a) was corrected on Feb 7.
Data for Q6 in a comma separated spreadsheet
Data for Q6 as an R data frame -- read.table(url("http://www.utstat.utoronto.ca/reid/sta2201s/incentives.data"))
The Science article, the supporting online material (SOM), and the authors' Excel spreadsheet are given below (Jan 13)

Jan 20

Marked up slides (with extraneous pages removed(5.19 pm, Jan 20))
Longer version (as written in class)
Slides (Posted 1.44 pm, Jan 20)
Guide to lme4 by John Maindonald
Longer guide to lme4 by Doug Bates
My code for Example 9.18
Tamiflu report from the Cochrane Library

Jan 13

For next week:
- Read Chapter 9 of Davison
- Find out what Bradford Hill's guidelines for causality are, and what the link is to our department
Handwritten notes from lecture
Notes from Cox and Donnelly
Material re publication incentives
- Franzoni, et al. Science
- Supporting online material
- Excel Spread sheet with all the data used by the authors
- data file giving number of submissions
- data file giving number of accepted papers
- data file giving publication share
- data file giving herd score
McShane et al. A statistical analysis of multiple temperature proxies Annals of Applied Statistics (March, 2011)

Text

Statistical Models by A.C. Davison.

Computing

You are welcome to use the statistical computing package of your choice, but I will refer exclusively to the R computing package. There are many helpful introductions to R, including:

R commander, a GUI based interface to R
S-Plus for windows, by Longhow Lam (see "Introduction to R"),
Jeff Rosenthal's introduction for the course STA410/2102,
the documentation provided on the R project web site (especially the Introduction to R),
John Verzani's online book simpleR.
If you already know SAS/SPSS/Stata, you may find this Quick-R guide helpful.
Thomas Lumley's R course notes are often recommended on the LinkedIn R Project