Biostatistics (BIST)

5099. Investigation of Special Topics

(Also offered as STAT 5099.) Variable (1-6) credits. Prerequisite: open only to Biostatistics graduate students; instructor consent required. May be repeated for credit.

5361. Statistical Computing

(Also offered as STAT 5361.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Use of computing for statistical problems; obtaining features of distributions, fitting models and implementing inference. Basic numerical methods, nonlinear statistical methods, numerical integration, modern simulation methods.

5505. Applied Statistics I

(Also offered as STAT 5505.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Exploratory data analysis: stem-and leaf plots,Box-plots, symmetry plots, quantile plots, transformations, discrete and continuous distributions, goodness of fit tests, parametric and non-parametric inference for one sample and two sample problems, robust estimation, Monte Carlo inference, bootstrapping.

5515. Design of Experiments

(Also offered as STAT 5515.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

One way analysis of variance, multiple comparison of means, randomized block designs, Latin and Graeco-Latin square designs,factorial designs, two-level factorial and fractional factorial designs, nested and hierarchical designs, split-plot designs.

5525. Sampling Theory

(Also offered as STAT 5525.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Sampling and nonsampling error, bias, sampling design, simple random sampling, sampling with unequal probabilities, stratified sampling, optimum allocation, proportional allocation, ratio estimators,regression estimators, super population approaches, inference in finite populations.

5585. Mathematical Statistics I

(Also offered as STAT 5585.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Introduction to probability theory, transformations and expectations, moment generating function, discrete and continuous distributions, joint and marginal distributions of random vectors, conditional distributions and independence, sums of random variables, order statistics,convergence of a sequence of random variables, the central limit theorem.

5605. Applied Statistics II

(Also offered as STAT 5605.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Analysis of variance, regression and correlation,analysis of covariance, general liner models, robust regression procedures, and regression diagnostics.

5625. Introduction to Biostatistics

(Also offered as STAT 5625.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Rates and proportions, sensitivity, specificity,two-way tables, odds ratios, relative risk, ordered and non-ordered classifications, rends, case-control studies, elements of regression including logistic and Poisson, additivity and interaction, combination of studies and meta-analysis.

5635. Clinical Trials

(Also offered as STAT 5635.) Three credits. Prerequisites: pen only to Biostatistics graduate students; instructor consent required.

Basic concepts of clinical trial analysis; controls,randomization, blinding, surrogate endpoints, sample size calculations,sequential monitoring, side-effect evaluation and intention-to-treat analyses. Also, experimental designs including dose response study, multicenter trials,clinical trials for drug development, stratification, and cross-over trials.

5645. Concepts and Analysis of Survival Data

(Also offered as STAT 5645.) Three credits.

Survival models, censoring and truncation,nonparametric estimation of survival functions, comparison of treatment groups,mathematical and graphical methods for assessing goodness of fit, parametric and nonparametric regression models.

5665. Applied Multivariate Analysis

(Also offered as STAT 5665.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Multivariate normal distributions, inference about a mean vector, comparison of several multivariate means, principal components,factor analysis, canonical correlation analysis, discrimination and classification, cluster analysis.

5685. Mathematical Statistics II

(Also offered as STAT 5685.) Three credits. Prerequisite: open only to Biostatistics graduate students; instructor consent required.

The sufficiency principle, the likelihood principle,the invariance principle, point estimation, methods of evaluating point estimators, hypotheses testing, methods of evaluating tests, interval estimation, methods of evaluating interval estimators.

5725. Linear Statistical Models

(Also offered as STAT 5725.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Linear and matrix algebra concepts, generalized inverses of matrices, multivariate normal distribution, distributions of quadratic forms in normal random vectors, least squares estimation for full rank and less than full rank linear models, estimation under linear restrictions,testing linear hypotheses.

5825. Applied Time Series

(Also offered as STAT 5825.) Three credits. Prerequisite: pen only to Biostatistics graduate students; instructor consent required.

Introduction to prediction using time-series regression methods with non-seasonal and seasonal data. Smoothing methods for forecasting. Modeling and forecasting using univariate autoregressive moving average models.

6494. Seminar in Applied Statistics

(Also offered as STAT 6494.) Variable (1-6) credits. Prerequisite: pen only to Biostatistics graduate students, instructor consent required. May be repeated for credit.