Biostatistics*

Department of Biostatistics

School of Public Health and Health Professions
249 Farber Hall
South Campus
Buffalo, NY 14214-3000

Phone: 716.829.3690
Fax: 716.829.2200
Web: phhp.buffalo.edu/biostat/

Alan D. Hutson
Chair

Randolph L. Carter
Associate Chair

About the Program

* Not a baccalaureate degree program

Biostatistics is the science of making decisions in the face of uncertainty. Its study provides a background for understanding numerical data and the process of making inferences from such data. Biostatistics is an invaluable tool for all scientific disciplines, as well as being a significant mathematical discipline in its own right. The Department of Biostatistics provides students with a calculus-based foundation in probability and statistics before branching into numerous areas of application. The foundation provided prepares students for career opportunities in government, business, and industry, or for graduate study in any quantitative discipline.

Course Descriptions

STA 111 Introduction to Probability and Statistics I

Credits:  3 \ 1
Semester: F Sp
Prerequisites:  None
Corequisites:  None
Type:  LEC/REC

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Designed especially for students in the humanities or the social sciences. Focuses primarily on the fundamental ideas of probability, and introduces statistics.

STA 112 Introduction to Probability and Statistics II

Credits:  3
Semester: Sp
Prerequisites:  None
Corequisites:  None
Type:  LEC

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Recommended for undergraduate students in the health sciences. Covers basic statistical concepts and techniques such as descriptive statistics, regression and correlation, analysis-of-variance, survival analysis and categorical data analysis as it pertains to clinical experiments and epidemiological investigations.

STA 119 Statistical Methods

Credits:  3 \ 1
Semester: F Sp
Prerequisites:  None
Corequisites:  None
Type:  LEC/REC

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Covers topics in descriptive statistics, probability, inference, and experimental design, all of which are put together to draw conclusions from uncertainty through analysis of experimental data. Although a general statistical methods course, the material (through examples) is geared towards sciences majors, especially those in the health sciences. Looks into the underlying reasoning behind the techniques rather than just pure application.

STA 403 Statistical Comparisons and Associations

Credits:  3
Semester:
Prerequisites:  MTH 142; an introduction to statistics course is a recommended prerequisite
Corequisites:  None
Type:  LEC

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Advanced presentation of statistical methods for comparing populations and estimating and testing associations between variables. Topics include point estimation; confidence intervals; hypothesis testing; ANOVA models for 1, 2, and k way classifications; multiple comparisons; chi-square test of homogeneity; Fisher�s exact test; McNemar�s test; measures of association, including odds ratio, relative risks, Mantel-Haenszel tests of association, and standardized rates; repeated measures ANOVA; simple regression; and correlation.

STA 404 Regression Analysis

Credits:  3
Semester:
Prerequisites:  STA 403
Corequisites:  None
Type:  LEC/LAB

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Covers regression analysis and introduction to linear models. Topics include multiple regression, analysis of covariance, least square means, logistic regression, and non-linear regression. The course includes a one-hour computer lab and emphasizes hands-on applications to datasets from the health sciences.

STA 406 Introduction to Statistical Computing

Credits:  3
Semester:
Prerequisites:  STA 112 or permission of instructor
Corequisites:  None
Type:  LEC

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Familiarizes students with PC-based statistical computing applications for public health, and is a companion course for STA 112 Introduction to Probability and Statistics II. Develops basic skills in the use of a statistical package through classroom demonstrations and independent lab assignments that complement the material covered in STA 112. Emphasizes data definition, verification, descriptive and inferential statistics, and graphical presentation. In addition, the course gives students the skills needed for effective data management, data manipulation, and data analysis at a basic level.

STA 421 Introduction to Theoretical Statistics I

Credits:  3 \ 1
Semester:
Prerequisites:  MTH 142
Corequisites:  None
Type:  LEC/REC

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Provides students with probability and distribution theory necessary for the study of statistics. Topics include axioms of probability theory, independence, conditional probability, random variables, discrete and continuous probability distributions, functions of random variables, moment generating functions, the Law of Large Numbers, and the Central Limit Theorem.

STA 422 Introduction to Theoretical Statistics II

Credits:  3 \ 3
Semester: Sp
Prerequisites:  STA 421
Corequisites:  None
Type:  LEC/REC

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Introduces principles of statistical inference. Introduces and develops classical methods of estimation, tests of significance, the Neyman-Pearson Theory of testing hypotheses, maximum likelihood methods, and Bayesian statistics.

STA 427 Introduction to Medical Statistics

Credits:  3 \ 1
Semester: Sp
Prerequisites:  None
Corequisites:  None
Type:  LEC/REC

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Topics include descriptive statistics, probability concepts (such as independence and conditional probability), probability distributions of random variables, sampling distributions, estimation, confidence intervals, hypothesis testing, analysis of variance procedures, linear regression, and nonparametric methods. Computers and statistical packages are used throughout the course. Requires no extensive computer experience.

 

Updated: Apr 12, 2006 11:03:51 AM