Published on UW Institute for Clinical & Translational Research (http://www.uwictr.wisc.edu)
Applications of Biostatistics to Projects

These resources, while developed with the postdoctoral trainee in mind, are useful to a broader group of individuals, including medical residents, study coordinators, and nursing or allied health students.




On-campus Instructional Opportunities:


Credit Non-Credit

Credit

BMI/STAT 541: Introduction to Biostatistics
3 credits; fall
Course designed for the biomedical researcher. Topics include: descriptive statistics, hypothesis testing, estimation, confidence intervals, t-tests, chi-squared tests, analysis of variance, linear regression, correlation, nonparametric tests, survival analysis and odds ratio. Biomedical applications used for each topic.
P: Math 221 or equiv or cons inst.

BMI/STAT 542: Introduction to Clinical Trials I
3 credits; spring
Intended for biomedical researchers interested in the design and analysis of clinical trials. Topics include definition of hypotheses, measures of effectiveness, sample size, randomization, data collection and monitoring, and issues in statistical analysis.
P: Stat 541 or equiv or cons inst.

BMI 544: Introduction to Clinical Trials II
3 credits; fall
Intended for biomedical researchers, focuses on design, implementation, and conduct of clinical trials. Topics include: regulatory requirements; data collection; data quality and management; budgets; federal, institutional, and sponsor-defined requirements; establishment of research infrastructures; preparation of investigator-INDs; investigator responsibilities.
P: BMI 541 or equiv & BMI 542 & cons inst.

BMI/STAT 643: Practicum in Coordinating Center Methods
3 credits; semester unknown
Practicum in the operation of a coordinating center in a clinical trial or epidemiologic study. Covers organization, randomization, forms design and collection, quality control and other operational responsibilities of coordinating centers.
P: Stat 641 or 642 or cons inst.

MED HIST 565: The Ethics of Modern Biotechnology
3 credits; spring
Study of ethical and science policy issues arising from the application of modern biotechnology to microorganisms, crops, animals, and humans. Readings cover ethical theory, technology studies, political philosophy, the science used in biotechnology, and current regulations governing its use.

PHM SCI 768: Pharmacokinetics
3 credits; fall
Quantitative aspects of drug absorption, distribution, metabolism, and excretion. Philosophy and applications of pharmacokinetic modeling and its use in clinical practice.
P: Cons inst.

STAT 546: Practicum in Clinical Trial Data Analysis and Interpretation
3 credits; semester unknown
Provides practice in analysis and interpretation of existing datasets from national and international clinical trials in a variety of diseases. Students will develop a research question, review clinical protocols, and analyze available data to prepare a report.
P: Stat 541 or 572 & Stat 542 or 641.

STAT 571: Statistical Methods for Bioscience I
4 credits; fall (Crosslisted with Forest, Hort)
Descriptive statistics, distributions, one- and two-sample normal inference, power, one-way Anova, simple linear regression, categorical data, non-parametric methods; underlying assumptions and diagnostic work.
P: College algebra: Grad student or cons inst.

STAT 572: Statistical Methods for Bioscience II
4 credits; spring(Crosslisted with Forest, Hort)
Continuation of Stat/Forestry 571. Polynomial regression, multiple regression, two-way Anova with and without interaction, split-plot design, subsampling, analysis of covariance, elementary sampling, introduction to bioassay.
P: Stats/Forestry/Hort 571.

STAT 642: Statistical Methods for Epidemiology
3 credits; spring
Methods for analysis of case-control, cross sectional, and cohort studies. Covers epidemiologic study design, measures of association, rates, classical contingency table methods, and logistic and Poisson regression.
P: Stat 310 or equiv or cons inst.

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Non-credit

ICTR Clinical Research Study Design Workshop Series

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Source URL: http://www.uwictr.wisc.edu/BiostatisticsProjects