Undergraduate Degree & Course Catalog
2016-17

Biostatistics * - Courses

STA 111 Quantitative Reasoning
Biostatistics

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

Credits: 3
Semester(s) Typically Offered: Fall, Spring
Grading: Graded (GRD)


STA 112 Introduction to Probability and Statistics II
Biostatistics

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.

Credits: 3
Semester(s) Typically Offered: Spring
Grading: Graded (GRD)



STA 119 Statistical Methods
Biostatistics

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.

Credits: 3
Semester(s) Typically Offered: Fall, Spring
Grading: Graded (GRD)
Co-Requisites: Students must enroll in STA 119LEC and STA 119REC in the same term


STA 301 Intro to Probability
Biostatistics

Credits: 3
Semester(s) Typically Offered: Fall
Grading: Graded (GRD)
Co-Requisites: Students must enroll in STA 301LEC and STA 301REC in the same term.



STA 302 Intro Stat Inference
Biostatistics

Credits: 3
Semester(s) Typically Offered: Spring
Grading: Graded (GRD)
Pre-Requisites: STA 301 Or MTH 411
Co-Requisites: Student must register for STA 302LEC And STA 302REC in the same term


STA 403 Regression Analysis
Biostatistics

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.

Credits: 3
Semester(s) Typically Offered: Fall, Spring
Grading: Graded (GRD)



STA 404 Analysis of Variance
Biostatistics

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.

Credits: 3
Semester(s) Typically Offered: Fall, Spring
Grading: Graded (GRD)
Pre-Requisites: STA 403 Or Permission of Instructor


STA 406 Introduction to Statistical Computing
Biostatistics

The purpose of this course is to familiarize students with PC-based statistical computing applications for public health This course will develop basic skills in the use of a statistical package through classroom demonstrations and independent lab assignments. Te course will emphasize data definition, verification, descriptive and inferential statistics, and graphical presentation. The course should familiarize the students with the use of a statistical package and give them the skills needed for effective data management, data manipulation, and data analysis at a basic level.

Credits: 3
Semester(s) Typically Offered: Spring
Grading: Graded (GRD)
Pre-Requisites: STA 119 or permission of instructor



STA 427 Introduction to Medical Statistics
Biostatistics

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.

Credits: 3
Semester(s) Typically Offered: Fall, Spring
Grading: Graded (GRD)
Co-Requisites: Students need to enroll in STA 427REC and STA 427LEC in the same term.



Last updated: November 22 2021 21:01:55