Statistics 141 / BioSci 141
Autumn 2006
David Rogosa
rag AT stat DOT stanford DOT edu
course web page at http://www-stat.stanford.edu/~rag/stat141/
For last year's materials go here
According to the Registrar
Course: BIOSCI 141, STAT 141
Title: Biostatistics
Min/Max Units: 4- 5
Grading Basis: Letter or Credit/No Credit
Days/Times/Classroom: TTH 02:15PM-03:45PM HEWLETT201
First class: Tuesday Sept 26
Stanford Bulletin course description
Introductory statistical methods for biological data. Describing
data (numerical and graphical summaries),
introduction to probability,
and basic statistical inference (hypothesis tests and confidence
intervals).
Intermediate statistical methods: comparing groups (analysis of variance), analyzing associations
(linear and logistic regression),
and methods for categorical data (contingency tables and odds ratio).
Course content integrated with statistical computing in R.
See http://www-stat.stanford.edu/~rag/stat141/
Class Office Hours
Rogosa: Th 3:55-5, T 5:05-6, Sequoia room 224
TA's and contact hours
George Chang, Head TA, Fridays 2:00-3:30 Sequoia Hall Rm 231
bonus hour, finals week: Mon Dec 11, 4-5 PM.
Murat Ahmed. Wednesday 11:00am to 12:00pm Sequoia 204.
Ya Xu. Tuesday 12:00pm to 12:50pm, Sequoia 237
Layla Parast. Friday 10:15-11:45, Sequoia room 224
bonus hour, finals week: Wed Dec 13, 10:30-noon.
Weekly discussion/review sections scheduled at
Wed 05:15 PM - 06:05 PM Hewlett101; Fri 09:00 AM - 09:50 AM ApPhy200
Note: sections will not be held during the first week of the qtr (9/25)
sections and office hours will not be held during the Take-home assessment weeks, 10/23, 11/13
Textbooks
Main Text
Required: Statistics for the Life Sciences, Samuels and Witmer, Prentice-Hall, 3rd Edition, 2003.
Available at the bookstore
Can be ordered at Amazon.com[3rd ed new]; much older 2nd ed also available without instructor endorsement
Optional text(but quite useful)
Using R for introductory Statistics, J. Verzani, Chapman & Hall, 2005.
Available at the bookstore
Draft version of much of the Verzani material avaliable from R-project
Texts on reserve at the Biology library
Computing
for references and software: The R Project for Statistical Computing Note: use R version 2.3.1, released on 2006-06-01.
for review of R-commands used in lecture and additional resources, see Rogosa R-diary (to be updated incrementally, full version available from 2005 materials)
Computing sessions/labs
We plan four R computer lab sessions in Sequoia 210 during the quarter
1. Fri 9/29 11am-12pm and 3:30pm-4:30pm materials for lab 1
2. Fri 10/13 11am-12pm and 3:30pm-4:30pm and Tues 11-12 materials for lab 2
3. Fri 11/3 11am-12pm and 3:30pm-4:30pm and Tues 11-12 materials for lab 3
4. Fri 12/1 11am-12pm and 3:30pm-4:30pm and Tues 11-12 materials for lab 4 ; also, babies data set for Lab4
Course Resources
Course Outline
Course Examples and Files
Course Assignments
Assignments and Assessment
1. Weekly Problem Sets.
There will be short problems posted approximately weekly on lecture content.
Solutions to these problems will be posted, and these will not be collected and graded.
That said, taking these problem sets seriously is important because that's where much of the
real learning takes place. Applied statistical methods is in the doing.
2. Take Home Assessments.
In addition, there will be two graded problem sets:
TH1 will take place during the week of 10/23 covering class material up through 10/19
Details: posting on assignment page Monday 10/23 AM, due Thurs 10/26 in classroom HEWLETT201 by 2:15 PM
TH2 will take place during the week of 11/13 covering class material up through 11/9
Details: posting on assignment page Monday 11/13 AM, due Thurs 11/16 in classroom HEWLETT201 by 2:15 PM
Students not able to be on campus will be expected to turn in exams via fax.
3. In class exam during finals week (12/11-12/15), scheduled by the Registrar.
Thursday 12/14, 7 PM.
Exam is open book, open materials. Coverage is all course material.
Students not able to be on campus will be expected to turn in exams via fax.