Biostatistics Training Resources
at the
University of Washington
January 2012
Updated July 2013
Outline
Biostatistical Training
• Formal Training
– Quarterly Courses
– Short Courses
• Informal Training
– Publicly available (web) course pages
– Other useful resources
2
Formal Courses
Quarterly Courses
Listing of useful courses offered from UW Biostatistics Department:
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Biost 508: Biostatistical Reasoning for the Health Sciences Discontinued course
Biost 511: Medical Biometry I – Introductory Statistical Data Analysis
Biost 512: Medical Biometry II – Linear Regression Analysis
Biost 513: Medical Biometry III – Categorical and Survival Data Analysis
Biost 517: Applied Biostatistics I – Statistical Data Analysis
Biost 518: Applied Biostatistics II – Linear and Non-linear Regression Analysis
Biost 524: Design of Medical Studies
Biost 536: Categorical Data Analysis in Epidemiology
Biost 537: Survival Data Analysis in Epidemiology
Biost 540: Correlated Data Regression Analysis
Not difficult
Intermediate difficulty
Considered difficult
3
Formal Courses
• Biost 508: Biostatistical Reasoning for the Health Sciences
– Summary
• Provides a broad overview of biostatistical methods, emphasizing interpretation
and concepts rather than computation or mathematical details. Introduces basic
concepts of study design, data summaries and presentation, statistical inference
(including hypothesis testing, p-values, and confidence intervals) and modeling
approaches such as regression analysis. No hands-on analysis, nor use of statistical
packages.
– Additional Information
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Number credits: 4
Access: restricted (course part of distance learning certificate)
Autumn quarter – Begins end of September, ends mid-December
Pre-requisites:
– Maths: college algebra
– Stats: none
• Website: http://courses.washington.edu/b508/
4
Formal Courses
• Biost 511: Medical Biometry I – Intro. Statistical Data Analysis
– Summary
• Presentation of the principles and methods of data description and elementary
parametric and nonparametric statistical analysis. Examples are drawn from the
biomedical literature, and real data sets are analyzed by the students after a brief
introduction to the use of standard statistical computer packages. Statistical
techniques covered include description of samples, comparison of two sample
means and proportions, simple linear regression and correlation.
– Additional Information
• Number credits: 4
• Access: UW NetID required, semi-restricted
(UPDATE: materials to be migrated to www.medicalbiometry.com)
• Autumn quarter – Begins end of September, ends mid-December
• Pre-requisites:
– Maths: college algebra
– Stats: none
• Website: http://courses.washington.edu/b511 (See update above.)
5
Formal Courses
• Biost 512: Medical Biometry II – Linear Regression Analysis
– Summary
• Multiple regression, analysis of covariance, and an introduction to one-way and
two-way analyses of variance: including assumptions, transformations, outlier
detection, dummy variables, and variable selection procedures. Examples drawn
from the biomedical literature with computer assignments using standard statistical
computer packages.
– Additional Information
• Number credits: 4
• Access: UW NetID required, semi-restricted
(UPDATE: some materials to be migrated to www.medicalbiometry.com)
• Winter quarter – Begins early January, ends mid-March
• Pre-requisites:
– Maths: college algebra
– Stats: Biost 511 or Biost 517 or equivalent or permission of instructor
• Website: To be updated to www.medicalbiometry.com
6
Formal Courses
• Biost 513: Medical Biometry III – Categorical and Survival Data Analysis
– Summary
• Analysis of categorical data including two sample methods, sets of 2x2 tables, RxC
tables, and logistic regression. Classification and discrimination techniques. Survival
analysis including product limit estimates and the Cox proportional hazards model.
– Additional Information
• Number credits: 4
• Access: UW NetID required, semi-restricted (depending on instructor)
UPDATE: materials to be migrated to www.medicalbiometry.com)
• Spring quarter – Begins end of March, ends one week into June
• Pre-requisites:
– Maths: college algebra
– Stats: Biost 512 or equivalent or permission of instructor
• Website: http://courses.washington.edu/b513/ (See update above.)
7
Formal Courses
• Biost 517: Applied Biostatistics I – Statistical Data Analysis
– Summary
• Introduction to the analysis of biomedical data. Descriptive and inferential
statistical analysis for discrete, continuous, and right censored random variables.
Analytic methods based on elementary parametric and non-parametric models for
one sample; two sample (independent and paired), stratified samples, and simple
regression problems.
– Additional Information
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•
Number credits: 4
Access: UW NetID required, semi-restricted (depending on instructor)
Autumn quarter – Begins end of September, ends mid-December
Pre-requisites:
– Maths: college algebra
– Stats: none
• Website: http://emersonstatistics.com/courses/formal/ (open access)
8
Formal Courses
• Biost 518: Applied Biostatistics II – Linear and Non-linear Regression
– Summary
• Multiple regression for continuous, discrete, and right censored response variables,
including dummy variables, transformations, and interactions. Introduction to
regression with correlated outcome data. Model and case diagnostics. Computer
assignments using real data and standard statistical computer packages.
– Additional Information
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•
•
•
Number credits: 4
Access: UW NetID required, semi-restricted (depending on instructor)
Winter quarter – Begins early January, ends mid-March
Pre-requisites:
– Maths: college algebra
– Stats: Biost 517 or equivalent or permission of instructor
• Website: http://emersonstatistics.com/courses/formal/ (open access)
https://courses.washington.edu/b518/ (semi-restricted)
9
Formal Courses
• Biost 524: Design of Medical Studies
– Summary
• Design of medical studies, with emphasis on randomized controlled clinical trials.
Bias elimination, controls, treatment assignment and randomization, precision,
replication, power and sample size calculations, stratification, and ethics. Suitable
for graduate students in biostatistics and for research-oriented graduate students in
other scientific fields.
– Additional Information
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•
•
•
Number credits: 3
Access: UW NetID required, semi-restricted (depending on instructor)
Spring quarter – Begins end of March, ends one week into June
Pre-requisites:
– Maths: college algebra
– Stats: Biost 511 or equivalent and one of Biost 513, Biost 518, EPI 512 or permission of instructor
• Website: http://emersonstatistics.com/courses/formal/ (open access)
10
Formal Courses
• Biost 536: Categorical Data Analysis in Epidemiology
– Summary
• Summary of univariate categorical data analysis; introduction to multivariate
analysis of categorical epidemiologic data using multiplicative models. Experience
at interpretation; familiarity with available programs gained by analysis of bona fide
data, critiques of analyses appearing in literature.
– Additional Information
• Number credits: 4
• Access: UW NetID required, restricted (to Biostats & Epidemiology majors)
You may contact instructor for permission to view materials as an observer.
• Autumn quarter – Begins end of September, ends mid-December
• Pre-requisites:
– Maths: college algebra
– Stats: EPI 513 and either BIOST 513 or BIOST 518 or permission of instructor
• Website: http://courses.washington.edu/b536/
11
Formal Courses
• Biost 537: Survival Data Analysis in Epidemiology
– Summary
• Introduction to multivariate analysis of survival data using multiplicative models.
Application to epidemiologic studies. Familiarity with interpretation and available
computer programs gained by analysis of bona fide sets of data and critiques of
analyses appearing in the literature.
– Additional Information
• Number credits: 4
• Access: UW NetID required, restricted (to Biostats & Epidemiology majors)
You may contact instructor for permission to view materials as an observer.
• Winter quarter – Begins early January, ends mid-March
• Pre-requisites:
– Maths: college algebra
– Stats: BIOST 536 or permission of instructor
• Website: http://courses.washington.edu/b537/
12
Formal Courses
• Biost 540: Correlated Data Regression Analysis
– Summary
• Introduction to regression modeling of longitudinal and clustered data from
epidemiology and health sciences. Interpretation and familiarity with available
programs gained by analysis of bona fide data; critiques of analyses appearing in
literature.
– Additional Information
• Number credits: 3
• Access: UW NetID required, semi-restricted (depending on instructor)
(UPDATE: web link to change to www.medicalbiometry.com in autumn 2013.)
• Spring quarter – Begins end of March, ends one week into June
• Pre-requisites:
– Maths: college algebra
– Stats: Either Biost 513, Biost 518, Biost 536 or permission of instructor
• Website: http://faculty.washington.edu/yanez/b540/ (open access)
13
Formal Courses
Summer Institutes
Listing of short courses offered from UW Biostatistics Department:
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Summer Institute in Statistical Genetics (SISG)
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Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID)
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Summer Institute in Biostatistics
14
Summer Institutes
• Summer Institute in Statistical Genetics (SISG)
– Summary
• This Institute consists of a series of workshops designed to introduce geneticists
and scientists to modern methods of statistical analysis and to introduce
statisticians to the statistical challenges posed by modern genetic data.
– Additional Information
• Recent Dates: July 8 – July 26, 2013
• Website: http://www.biostat.washington.edu/suminst/sisg/general
15
Summer Institutes
• Summer Institute in Statistics and Modeling in Infectious Diseases
(SISMID)
– Summary
• This Institute consists of a series of workshops designed to introduce infectious
disease researchers to modern methods of statistical analysis and mathematical
modeling and to introduce statisticians and mathematical modelers to the
statistical and dynamic problems posed by modern infectious disease data.
– Additional Information
• Recent Dates: July 8 – July 24, 2013
• Website: http://depts.washington.edu/sismid/
16
Summer Institutes
• Summer Institute in Biostatistics
– Summary
• This Institute consists of a series of workshops designed to focus on clinical trials
(i.e., intro, advanced, sequential monitoring, designs) and the analysis of data (i.e.,
longitudinal data analysis, introduction to survival data).
– Additional Information
• Dates: August 12-16, 2013
• Website: http://depts.washington.edu/sib/general
17
Informal Training
Publicly available biostats (web) course pages
The following links contain up-to-date materials for several useful courses. They may not reflect
the most recent course offering or instructors’ materials:
•
Biost 517: Applied Biostatistics I – Statistical Data Analysis
Webpage: http://www.emersonstatistics.com/courses/formal/
•
Biost 518: Applied Biostatistics II – Linear and Non-linear Regression Analysis
Webpage: http://www.emersonstatistics.com/courses/formal/
•
Biost 524: Design of Medical Studies
Webpage: http://www.emersonstatistics.com/courses/formal/
•
Biost 533: Theory of Linear Models
Webpage: http://www.emersonstatistics.com/courses/formal/
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Biost 540: Correlated Data Regression Analysis
Webpage: http://faculty.washington.edu/yanez/b540/
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Biost 578: Introductory Data Analysis
Webpage: http://www.emersonstatistics.com/courses/formal/
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Biost 579: Data Analysis and Report Writing
Webpage: http://www.emersonstatistics.com/courses/formal/
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Biost 590: Biostatistical Consulting
Webpage: http://www.emersonstatistics.com/courses/formal/
Low difficulty
Intermediate difficulty
Very difficult
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Informal Training
• Other Useful Resources
– Biostatistics Course Information: For additional information on the
courses outlined here and others, please see the complete list of
Biostatistics courses offered on the University of Washington course
catalogue:
http://www.washington.edu/students/crscat/biostat.html
– Randomized Clinical Trial Design: Materials for a self-guided course in
general clinical trial methods:
http://rctdesign.org/
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