Course List

Graduate Certificate in Biostatistics

Graduate Certificate in Biostatistics  at the University of Louisville Online

The online Certificate in Biostatistics is comprised of a minimum of 15 credit hours.


Start Your Application   Request More Info


Required Courses

Course Title Credit Hours
PHST 680 Biostatistical Methods I 3
PHST 681 Biostatistical Methods II 3
PHST 620 Introduction to Statistical Computing (SAS) 3
PHST 684 Categorical Data Analysis 3
Electives* 3-4
Total 15-16
Note: PHST 680 and 681 are prerequisites for PHST 640 and 684.

*Electives can be either PHST 624 Clinical Trials I (2 Hours) and PHST 625 Clinical Trials II (2 hours) or PHST 640 Statistical Methods for Research Design in Health Sciences (3 hours).



Course Descriptions

PHST 680 Biostatistical Methods I

A mathematically sophisticated presentation of principles and methods of: exploratory data analysis; statistical graphics; point estimation; interval estimation; hypothesis testing of means, proportions and counts; chi-square analysis; rate ratio; and Mantel-Haensel analysis. Matrix algebra is required. Data sets will be analyzed using statistical computer packages; examples will be drawn from the biomedical and public health literature. Emphasis will be placed on methods and models most useful in clinical research.


PHST 681 Biostatistical Methods II

A mathematically sophisticated introduction to: general linear models; regression; correlation; analysis of covariance; one and two-way analysis of variance; and multiple comparisons. Matrix algebra is required. Data sets will be analyzed using statistical computer packages; examples will be drawn from the biomedical and public health literature. Emphasis will be placed on methods and models most useful in clinical research.


PHST 620 Introduction to Statistical Computing (SAS)

This course addresses fundamentals of statistical computing with special emphasis on software tools employed most often in biostatistics.


PHST 624 Clinical Trials I

Prerequisite: Enrolled in BDSCMS BIO, CISCCCI, CISCMSC, MD/MSc. Phases of Trials, Ethical Issues, Basic Design, Inclusion and Exclusion criteria, Randomization and Blinding, Sample Size, Monitoring Response Variables, and Issues in Data Analysis


PHST 625 Clinical Trials II

Prerequisite: PHST 624 and enrolled in BDSCMS BIO, CISCCCI, CISMSC, MD/MSc. Sample Size and Power Analysis, Survival Analysis, Sequential Design, Meta Analysis, Reporting and Interpreting of Results, Multicenter Trails. SPSS will be used.


PHST 684 Categorical Data Analysis

Focuses on statistical methods for analyzing categorical data; topics include inference for two-way contingency tables; models for binary response variables, including logistic and logit models; models for ordinal data; mutinominal response data; and analysis of repeated categorical response data. Emphasis will be placed on methods and models most useful in clinical research.


PHST 640 Statistical Methods for Research Design in Health Sciences

Statistical methods for clinical research and interpretation for the literature.



Start Your Application   Request More Info   Back to Top


^ Top of Page