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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 />

helpful.<br />

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

STA 5503: Categorical Data Methods (3) Prereq: STA 3024,<br />

3032, 4210, 4322, 6127, or 6167. Intended for graduate students<br />

not majoring in statistics. Description and inference using<br />

proportions and odds ratios, multi-way contingency tables, logistic<br />

regression and other generalized linear models, and loglinear<br />

models applications.<br />

STA 5701: Applied Multivariate Methods (3) Prereq: STA 3024,<br />

6127, 6167, or 4211. Intended for graduate students not majoring<br />

in statistics. Review of matrix theory, univariate normal, t, chisquared<br />

and F distributions, and multivariate normal distributions.<br />

Inference about multivariate means, Hotelling's T2 multivariate<br />

analysis of variance, multivariate regression, and multivariate<br />

repeated measures. Inference about covariance structure, principal<br />

components, factor analysis, and canonical correlation. Multivariate<br />

classification techniques, discriminant and cluster analysis. Additional<br />

topics at the discretion of the instructor, time permitting.<br />

STA 5715: Applied Survival Analysis (3) Prereq: STA 6127 or<br />

6167. Survival analysis data methods, including Kaplan-Meier and<br />

Nelson estimators of survival, accelerated failure, proportional<br />

hazards models, and frailty and recurrent-event models.<br />

STA 6092: Applied Statistical Practice (3) Prereq: STA 6207,<br />

6208. Communication, management, and the organizational,<br />

computational, and statistical thinking skills needed for consulting in<br />

statistics. Integrating graphic and numeric computing tools,<br />

research design concepts, data summary, and statistical inference<br />

methods.<br />

STA 6166: Statistical Methods in Research I (3) Prereq: STA<br />

2023 or equivalent. Statistical methods based on t, F, and Chi2 tests. Analysis of variance for basic experimental designs. Factorial<br />

experiments. Regression analysis and analysis of covariance.<br />

STA 7249: Generalized Linear Models (3) Prereq: STA 6207,<br />

6208, 6327, 6246. Fitting of generalized linear models, diagnostics,<br />

asymptotic theory, overdispersion, estimating equations, mixed<br />

models, generalized additive models, smoothing.<br />

STA 7346: Statistical Inference (3) Prereq: STA 6327. Decision<br />

rules and risk functions. Sufficiency, Minimax, and Bayes rules for<br />

estimating location and scale parameters.<br />

Epidemiology<br />

The epidemiology doctoral program requires a minimum of 90<br />

semester credits beyond the bachelor’s degree. The requirements<br />

include a minimum of 12 credits in epidemiology foundation course<br />

work, which in most cases will be satisfied by a student’s master’s<br />

degree. It is anticipated that most students may have directly<br />

related master’s degrees (i.e. Master of Science in epidemiology or<br />

Master of Public Health with a concentration in epidemiology or<br />

biostatistics). Regardless of master’s degree, all students will need<br />

to demonstrate that they have successfully completed the 11 credits<br />

of foundation courses in order to take more advanced epidemiology

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