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Statistics Courses

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STAT 699 R - Master's Thesis

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STAT 698 R - Master's Project

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STAT 695 R - Readings in Statistics

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STAT 690 R - Advanced Special Topics

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STAT 666 - Multivariate Statistcl Methods

Inference about mean vectors and covariance matrices; multivariate analysis of variance and regression; canonical correlation; discriminant, cluster, principal component, and factor analysis.
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STAT 651 - Bayesian Methods

Basic Bayesian inference; conjugate and nonconjugate analyses; Markov Chain Monte Carlo methods; hierarchical modeling; convergence diagnostics.
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STAT 643 - Theory of Linear Models

Random vectors; multivariate normal distribution; quadratic forms distribution; full-rank and non-full-rank linear models hypothesis testing; random predictors; estimability; Bayesian topics; mixed and/or generalized linear models.
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STAT 642 - Prob Theory & Math Stat 2

Introduction to statistical theory; principles of sufficiency and likelihood; point and interval estimation; maximum likelihood; Bayesian inference; hypothesis testing; Neyman-Pearson lemma; likelihood ratio tests; asymptotic results, including delta method; exponential family.
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STAT 641 - Prob Theory & Math Stat 1

Axioms of probability; combinatorics; random variables, densities and distributions; expectation; independence; joint distributions; conditional probability; inequalities; derived random variables; generating functions; limit theorems; convergence results.
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STAT 637 - Generalized Linear Models

Generalized linear models framework, binary data, polytomous data, log-linear models.
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STAT 631 - Adv Experimental Design

Response surface methods, mixture designs, and optimal designs; fractions of two-level, three-level, and mixed-level factorials; analysis of experiments with complex aliasing; robust parameter designs.
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STAT 624 - Statistical Computation

Fundamental numerical methods used by statisticians; programming concepts; efficient use of software available for statisticians; simulation studies.
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STAT 599 R - Academic Internship

On-the-job experience. Report required.
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STAT 595 R - Sampling Practicum

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STAT 595 R - Quality Methods

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STAT 595 R - Biostatistical Methods

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STAT 595 R - Expert Systems in Statistics

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STAT 595 R - Theory of Risk

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STAT 595 R - Statistical Computations

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STAT 595 R - Special Topics in Statistics

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STAT 591 R - Grad Seminar in Statistics

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STAT 590 R - Statistical Consulting

Introduction to statistical consulting, oral presentations, presentation packages, written reports. Extensive applied experience in the Center for Collaborative Research and Statistical Consulting.
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STAT 538 - Survival Analysis

Basic concepts of survival analysis; hazard functions; types of censoring; Kaplan-Meier estimates; Logrank tests; proportional hazard models; examples drawn from clinical and epidemiological literature.
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STAT 537 - Mixed Model Methods

Fixed effects, random effects, repeated measures, nonindependent data, general covariance structures, estimation methods.
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STAT 536 - Stat Learning & Data Mining

Multiple linear regression, nonlinear regression, local regression, penalized regression, generalized additive models, logistic regression, discriminant analysis, tree-structured regression, support vector machines, neural networks.
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STAT 535 - Linear Models

Theory of the Gaussian Linear Model with applications to illustrate and complement the theory; random vectors, multivariate normal, central and non-central chi-squared, t, F distributions; distribution of quadratic forms; Gauss-Markov Theorem; distribution theory of estimates and standard tests in multiple regression and ANOVA models; regression diagnostics; parameterizations and estimability; model selection and its consequences.
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STAT 531 - Experimental Design

Basic designs, power and sample size, Latin squares, incomplete blocks, change-over designs, factorials, fractional factorials, confounding, split-plots, response surface designs.
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STAT 512 - Stat Methods for Research 2

Advanced statistical methodologies and experimental design. Topics include multi-way analysis of variance, mixed models analysis of variance, logistic regression, log-linear models, time series models, principal components, canonical correlation, common experimental designs.
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STAT 511 - Stat Methods for Research 1

Basic statistical methodologies and experimental design. Topics include simple analysis of variance, multiple regression, analysis of covariance, model selection.
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STAT 502 - Job Search Strategies

Course will assist graduating students in identifying and connecting to potential employers.
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