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2010-2011 UF Graduate Catalog (PDF Format) - Graduate School ...

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University of Florida <strong>Graduate</strong> <strong>School</strong><br />

http://test.gradschool.ufl.edu/catalog/current-catalog/FOI/EPI01.htm[9/15/<strong>2010</strong> 4:07:30 PM]<br />

produce graduates who will help address the shortage of<br />

biostatisticians. We expect our graduates to be highly competitive<br />

in three primary settings: academic university-based settings,<br />

industry, and federal agencies that involve research and/or public<br />

health practice.<br />

Specific course requirements are described at the program website<br />

http://biostatistics.phhp.ufl.edu/ms/.<br />

PHC 6050: Statistical Methods for Health Sciences Research<br />

I(3) Appropriate use of data summarization and presentation of<br />

basic statistical methods, including ANOVA, nonparametric methods,<br />

inference on discrete data, inference on survival data, and<br />

regression methods for continuous, binary, and survival data.<br />

Required core course for students in public health management and<br />

policy and social and behavioral science concentrations.<br />

PHC 6053: Regression Methods for the Health and Life<br />

Sciences (3) Prereq: PHC 6052 or equivalent. For graduate<br />

students in fields other than statistics. Introduction to a wide range<br />

of regression methods. Primary topics are multiple linear regression,<br />

logistic regression, and Poisson regression.<br />

PHC 6937: Special Topics in Public Health(1-6; max: 12)<br />

PHC 6946: Public Health Internship (1-9; max: 9) Prereq:<br />

consent of instructor. Fieldwork at approved site. Focus on practical<br />

application of skills in student's concentration area. S/U.<br />

PHC 7056: Analysis of Longitudinal Data (3) Prereq: STA 6326,<br />

STA 6327 (or equivalent), STA 6207, STA 6208 (or equivalent), and<br />

STA 6246 (or equivalent). Likelihood-based and semiparametric<br />

methods for longitudinal data. Methods to deal with missing data in<br />

both settings.<br />

PHC 7066: Large Sample Theory (3) Prereq: STA 6326 and 6327<br />

(or equivalent). Detailed introduction to large sample theory and its<br />

application in univariate and multivariate parametric and<br />

nonparametric estimation.<br />

PHC 7980: Research for Doctoral Dissertation (1; max: 15)<br />

S/U.<br />

STA 5223: Applied Sample Survey Methods (3) Prereq: STA<br />

2023, 4322, 6126, or 6166. Designing and analyzing sample<br />

surveys. Sources of error. Questionnaire design. Simple random,<br />

stratified, systematic, and cluster sampling. Practical application of<br />

concepts.<br />

STA 5325: Fundamentals of Probability(3) Prereq: grade of C or<br />

better in MAC 2313 and STA 3032 or equivalent. Topics in<br />

probability and statistics, particularly discrete and continuous<br />

random variables, sampling distributions, estimation, and hypothesis<br />

testing. Applications to engineering and natural science.<br />

STA 5328: Fundamentals of Statistical Theory (3) Prereq: STA<br />

4321 or equivalent. Direct continuation of STA 4321/STA 5325.<br />

Basic material for distribution theory, sampling distributions,<br />

properties of estimators, hypothesis testing, linear regression<br />

analysis, and analysis of variance. A good knowledge of calculus is

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