The UAMS College of Public Health offers
a Master of Public Health degree with a specialty in Biostatistics.
Prospective students should consult the following links:
Admission to College of Public Health.
Below is the list of courses offered by the department of Biostatistics.
Biostatistics I (F): Introductory topics in descriptive biostatistics and epidemiology,
database principles, basic probability, diagnostic test statistics, tests
of hypotheses, sample size estimation, power of tests, frequency
cross-tabulations, correlation, nonparametric tests, regression,
randomization, and analysis of variance.
FOR CONCENTRATION IN BIOSTATISTICS:
5023 Biostatistics II (Linear Models) (S):
Multiple regression and linear models for analysis of variance. Experimental Designs with factorial
arrangement of treatments, repeated measures, and multiple covariates. Introduction to logistic and
5033 Biostatistics III (Multivariate Linear Models) (F): Multivariate regression and
multivariate analysis of variance.
Principle components and factor analysis. Introduction to clustering,
classification methods, path analysis, and structural equations. Prerequisite: Biostatistics II.
5753 Application of Microcomputers to Data Management and Analysis (F): Brief overview of software
packages commonly used for data management and analysis that include Excel,
Access, SPSS and Stata, followed by primary focus on use of SAS software in
data management and recoding techniques. These include working with SAS
libraries, inputting raw data, reading and writing from external files,
using logical structures, using numerical and character functions, working
with dates and using arrays. Course focuses on programming techniques with
limited use of analytical procedures. Class activities include
lecture/discussion and intensive programming work using SAS. Prerequisite: Prior completion or
concurrent enrollment in Biostatistics I is recommended.
taking a concentration in Biostatistics must take at least two of the
5233 Statistical Methods for Clinical Trials (S, even numbered years): Principles underlying
the planning, management, and implementation of modern clinical trials, the
application of statistical methods used in the analysis of data from clinical
trials, and the interpretation of results. Basic statistical techniques used in
design and analysis of Phase I-III single- and multicenter trials.
Recommended prerequisites include knowledge of basic statistics,
familiarity with SAS software, and knowledge of a clinical
5313 Nonparametric Methods (F): This course will provide an overview of
nonparametric techniques with a primary focus on their application to
healthcare data. Appropriate
techniques for one-sample and multi-sample data will be covered as well as
the use of nonparametric
methods to assess correlation, independence, and linear
relationships. Students will
learn when it is more appropriate to use a nonparametric approach instead
of the usual parametric tests, and which techniques have been incorporated
into popular statistical software.
Prerequisite: Biostatistics I.
5763 Categorical Data Analysis (S): This course is designed to give students an overview
of statistical methods commonly used for analysis of categorical data. Some
of the topics include binomial and Poisson distributions, analysis of 2x2
tables, Fishers exact test, McNemar test, stratified analysis, trend
analysis and logistic regression. Class activities include
lecture/discussion, group work, analytical assignments and critical
Prerequisite: Biostatistics I.
PBHL 5773 Designing and Analyzing Health Surveys
(S): Students taking this course will be taught the basics of healthcare
survey design and analysis.
Topics will include how to: evaluate the accuracy and reliability of
survey questions, determine the most effective data collection method(s),
determine sample sizes needed, and choose an applicable survey design. The course will also cover the
appropriate statistical techniques to analyze survey questions including
how to apply sample weights, impute missing data, and estimate
variances. Students will create
new questions and evaluate existing surveys from their own areas of
interest and analyze large nationally administered health surveys. Prerequisite: Prior completion or concurrent
enrollment in Biostatistics II, or permission of instructor.
PBHL 595V Special Topics in
Biostatistics (1-3): (As announced) Advanced work in specialized fields such
as bioassay, multivariate analysis, time series, etc. Credit, 1 to 3 hours
per semester, limit of 9 hours. Prerequisite: consent.
project is a student’s final project, a culminating experience
that requires the students to synthesize and integrate knowledge and apply
theory and principles learned, to an area of public health practice,
resulting in either preparation of a manuscript for publication or of a
research proposal for submission. For students with concentration in
the field of Biostatistics the departmental
requirement is a completion of a technical report along with an
oral presentation that is required of all COPH students.
West Markham, #781
Rock, AR 72205-7199