Statistics 141 / BioSci 141
  Autumn 2007

course web page at

                For last year's materials go here
David Rogosa
rag AT stat DOT stanford DOT edu
John Boik, Postdoctoral Fellow, Department of Statistics
jcboik AT stanford DOT edu
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 25
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.

Class Office Hours
Rogosa:  Th 4-5, T 5:05-6, Sequoia room 224
John Boik:  M 11:15-12:30, Clark, Room S.264
TA's and contact hours
Wai Liu Sequoia 227, Fri 9-10:30
Parran Vanniasegaram Sequoia 235, M 3:40-5:00
Weekly discussion/review sections scheduled at
Wed 05:15 PM - 06:05 PM Hewlett102;  Fri 02:15 PM - 03:05 PM RedwdG19
    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, 10/22, 11/12

Main Text
Required: Statistics for the Life Sciences, Samuels and Witmer, Prentice-Hall, 3rd Edition, 2003.
Available at the bookstore
Can be ordered at[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

for references and software: The R Project for Statistical Computing   Note: use R version 2.5.1, released on 2007-06-28.
Closest download mirror is Berkeley
Materials for the Computer Labs and additional computing resources and information are consolidated at R Computing, Stat 141, Fall 2007
(In past years we used a Rogosa R-diary, full version available from 2005 or 2006 class materials).

Computing sessions/labs
We plan four R computer lab sessions in Sequoia 210 during the quarter
1. Fri 9/28 11am-12pm and 3:30pm-4:30pm   
2. Fri 10/12     
3. Fri 11/2      
4. Fri 11/30      

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 10/22 covering class material up through 10/18
   Details: posting on assignment page Monday 10/22 AM, due Thurs 10/25 in classroom HEWLETT201 by 2:15 PM
TH2 will take place during the week of 11/12 covering class material up through 11/8
   Details: posting on assignment page Monday 11/12 AM, due Thurs 11/15 in classroom HEWLETT201 by 2:15 PM
Students not able to be on campus will be expected to turn in exams via hard-copy fax.
3. In class exam (Exam 3) during finals week (12/10-12/14), scheduled by the Registrar.
Exam 3 Wed Dec 12, 2007 7-10PM, CHANGE again: the Registrar has put us back in our classroom, Hewlett 201
Exam 3 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 hard-copy fax.
Exam 3 pick-up. Mon Jan 14, Jon Boik. Students can pick up their Exam 3 papers on Jan 14 at Clark Rm S. 264 between 12:00-1:00 and 3:45-4:15.