Syllabi from Past Quarters (pdf files)

Note: Not all instructors provide syllabi.  Those below are the only ones available for each course for the past three times the course was offered.

Biost 111: Lectures in Applied Statistics
Spring 2005 (Breslow)
Spring 2007 (Leroux)
Spring 2008 (Inoue)

Biost 502: Introduction to Statistics in the Health Sciences
Summer 2007 (Mancl)
Summer 2008 (Mancl)

Biost 503: Application of Statistics to Health Sciences
Summer 2007 (Mancl)
Summer 2008 (Mancl)

Biost 510/DPHS 568: Biostatistics in Dentistry
Summer 2007 (Spiekerman)
Summer 2008 (Spiekerman)

Biost 511: Medical Biometry I
Summer 2007 (Inoue)
Autumn 2007 (Hughes)
Summer 2008 (Yanez)

Biost 512: Medical Biometry II
Winter 2006 (McKnight)
Winter 2007 (Sheppard)
Winter 2008 (McKnight)

Biost 513: Medical Biometry III
Spring 2006 (Hughes)
Spring 2007 (Yanez)
Spring 2008 (Breslow)

Biost 514: Biostatistics I
Autumn 2005 (Emerson)  (combined with 517)
Autumn 2006 (Emerson)  (combined with 517)
Autumn 2007 (Emerson)  (combined with 517)

Biost 515: Biostatistics II
Winter 2006 (Emerson) (combined with 518)
Winter 2007 (Emerson) (combined with 518)
Winter 2008 (Emerson) (combined with 518)

Biost 516/Epi 519: Statistical Methods in Genetic Epidemiology
Autumn 2005 (Kerr)

Biost 517: Applied Biostatistics I
Autumn 2005 (Emerson)
Autumn 2006 (Emerson)
Autumn 2007 (Emerson)

Biost 518: Applied Biostatistics II
Winter 2006 (Emerson)
Winter 2007 (Emerson)
Winter 2008 (Emerson)

Biost 521: Biostatistics for Experimentalists

Spring 2006 (Barlow)

Biost/Stat 524: Design of Medical Studies
Spring 2006 (Fleming)
Spring 2007 (Fleming)
Spring 2008 (Fleming)

Biost/Stat/CSSS 529: Sample Survey Techniques
Winter 2008 (Lumley)

Biost/Stat 533: Classical Theory of Linear Models
Spring 2006 (Inoue)
Spring 2007 (Kerr)
Spring 2008 (Kerr)

Biost/Stat 534: Statistical Computing
Spring 2008 (Lumley)

Biost/Stat 535:  Statistical Computing
Autumn 2007 (Meila-Predov)

Biost/Epi 536: Categorical Data Analysis in Epidemiology
Autumn 2005 (McKnight)
Autumn 2006 (Breslow)
Autumn 2007 (Barlow)

Biost/Epi 537: Survival Data Analysis in Epidemiology
Winter 2006 (Heagerty)
Winter 2007 (Barlow)
Winter 2008 (Breslow)

Biost/Stat 538: Statistical Computing
Winter 2008 (Meila)

Biost 540:  Correlated Data Regression
Spring 2006 (Heagerty)
Spring 2007 (Heagerty)
Spring 2008 (Heagerty)

Biost/Stat 550: Statistical Genetics I
Autumn 2005 (E. Thompson)
Autumn 2007 (E. Thompson)

Biost/Stat 551: Statistical Genetics II
Winter 2004 (Monks)
Winter 2006 (Storey)

Biost/Stat 552: Statistical Genetics III
Spring 2006 (Wijsman)
Spring 2007 (Wijsman)
Spring 2008 (Wijsman)

Biost/Stat 570: Advanced Applied Statistics and Linear Models
Autumn 2005 (Lumley)
Autumn 2006 (Rice)
Autumn 2007 (Rice)

Biost/Stat 571: Advanced Applied Statistics and Linear  Models
Winter 2003 (Heagerty)
Winter 2008 (Wakefield)

Biost/Stat 573: Statistical Methods for Categorical Data
Spring 2004 (Breslow)
Spring 2007 (Breslow)

Biost/Stat 576: Statistical Methods for Survival Data
Autumn 2003 (Fleming)
Spring 2007 (Chen)

Biost/Stat 577:  Design and Analysis of Experiments

Summer 2007 (Kerr)

Biost/Stat 578: Special Topics in Advanced Biostatistics
Summer 2007 - Research in Biostatistics (Pepe)
Autumn 2007 - Spatial Epidemiology (Wakefield)
Winter 2008 - Stat Eval of Biomarkers and Diagnostic Tests (Pepe)
Winter 2008 - Course in R (Rice)
Spring 2008 - Measurement Error (Yanez)
Spring 2008 - Missing Data (Zhou)

Biost/Stat 579: Data Analysis
Summer 2007 (Cain)
Autumn 2007 (Leroux)
Spring 2008 (Thompson,ML)

Biost 580: Biostatistics Seminars
Biost 580A - Formal Seminar (all quarters)
Biost 580C - Student Seminar (all quarters)

Biost 590: Consulting
Syllabus for all quarters

INFORMATION ON OTHER COURSES NOT LISTED ABOVE

Courses which we are not planning to offer in the foreseeable future:  290, 509, 574, 586

Joint courses normally taught by the joint department faculty:
STAT: 534, 538, 572
EPI: 516, 519

Courses which do not usually have a syllabus:
 598 Techniques of Stat Consulting -- a lecture series for students taking or planning to take 590