Section Head: Professor Hanumara
220 Statistics in Modern Society (3)
Elementary concepts in sampling, polls, surveys, random samples. Foundations of statistical inference; estimation, comparison prediction. Statistics for the consumer, quality of data, credibility of statistical evidence. Environmental measurements and experiments. (Lec. 2, Rec. 1) (MQ)
307 Introductory Biostatistics (3)
Statistical methods applicable to health sciences. Data presentation. Vital statistics and life tables. Fitting models to health data. Testing, estimation, analysis of cross-classifications, regression, correlation. (Lec. 2, Rec. 1) Pre: MTH 107 or 108 or 131 or 141 or permission. Not open to students with credit in 308 or 409.
308 Introductory Statistics (3)
Descriptive statistics, presentation of data, averages, measures of variation, skewness, kurtosis. Elementary probability, binomial and normal distributions. Sampling distributions. Statistical inference, estimation, confidence intervals, testing hypotheses, linear regression, and correlation. (Lec. 2, Rec. 1) Pre: MTH 107 or 108 or 131 or 141 or permission. Not open to students with credit in 307 or 409.
409 Statistical Methods in Research I (3)
Same as 308 but is for students who have better mathematical preparation. (Lec. 3) Pre: MTH 131 or 141. Not open to students with credit in 307 or 308.
411 (or PHP 411 or BPS 411) Biostatistics II (3)
An overview of statistical methods used in performing research in pharmacotherapeutics and pharmacoepidemiology. Emphasis will be on understanding both common study designs and the output from statistical analysis of data obtained from these studies. (Lec. 3) Pre: an introductory statistics course (i.e., 307) or permission of instructor.
412 Statistical Methods in Research II (3)
Multiple linear regression and correlation analysis, curvilinear regression. Analysis of variance and covariance. Analysis of enumerative data. Some nonparametric methods. (Lec. 3) Pre: 307 or 308 or 409.
491 Directed Study in Statistics (1-3)
Advanced work in statistics. Conducted as supervised individual projects. (Independent Study) Pre: permission of chairperson. S/U credit.
492 Special Topics in Statistics (3)
Advanced topics of current interest in statistics. (Lec. 3) Pre: permission of chairperson.
500 Nonparametric Statistical Methods (3)
Rank and sign tests, permutation tests and randomization, run test, tests of goodness of fit, order statistics, estimation, and comparison with parametric procedures. Examples illustrating the applications of nonparametric techniques. (Lec. 3) Pre: 409.
501 Analysis of Variance and Variance Components (3)
Analysis of variance and covariance, experimental design models, factorial experiments, random and mixed models, estimation of variance components, unbalanced data. (Lec. 3) Pre: 412.
502 Applied Regression Analysis (3)
Topics in regression analysis including subset selection, biased estimation, ridge regression, and nonlinear estimation. (Lec. 3) Pre: 412.
513 Statistical Quality Assurance
See Industrial and Systems Engineering 513.
515 Spatial Data Analysis (3)
Analysis of point patterns: visualizing, exploring and modeling, space time clustering, correcting for spatial variation, clustering around a specific point source. Analysis of spatially continuous data: variogram analysis and Kriging methods. (Lec. 3) Pre: 412 or permission of instructor.
517 Small N Designs
See Psychology 517.
520 Fundamentals of Sampling and Applications (3)
Simple random sampling; properties of estimates, confidence limits. Sample size. Stratified random sampling; optimum allocation, effects of errors, and quota sampling. Regression and ratio estimates; systematic and multistage sampling. (Lec. 3) Pre: 308 or 409.
522 Bioinformatics I (3-4)
See Computer Science 522.
532 (or ASP 532 or PSY 532) Experimental Design (3)
Application of statistical methods to biological and psychological research and experimentation. Experimental situations for which various ANOVA and ANCOVA designs are most suitable. (Lec. 3) Pre: 409 or equivalent.
535 Statistical Methodology in Clinical Trials (3)
Bioavailability, dose response models, crossover and parallel designs, group sequential designs, survival analysis, meta analysis. (Lec. 3) Pre: 409, 411, or 412 or permission of instructor.
536 Applied Longitudinal Analysis
Longitudinal data, linear mixed effects models, repeated measures ANOVA, generalized linear models for correlated data. (Lec. 3) Pre: 411 or 412 or permission of the instructor.
541 Multivariate Statistical Methods (3)
Review of matrix analysis. Multivariate normal distribution. Tests of hypotheses on means, Hotelling’s T2, discriminate functions. Multivariate regression analysis. Canonical correlations. Principal components. Factor analysis. (Lec. 3) Pre: 412.
542 Categorical Data Analysis Methods (3)
Analysis of multidimensional categorical data by use of log-linear and logit models. Discussion of methods to estimate and select models followed by examples from several areas. (Lec. 3) Pre: 412.
550 Ecological Statistics (3)
Application of statistical methodology to the following topics: population growth, interactions of populations, sampling and modeling of ecological populations, spatial patterns, species abundance relations, and ecological diversity and measurement. (Lec. 3) Pre: 409 or permission of instructor.
See Environmental Economics 576.
584 Pattern Recognition
See Electrical Engineering 584.
591 Directed Study in Statistics (1-3)
Advanced work in experimental statistics conducted as supervised individual projects. (Independent Study) Pre: permission of chairperson. S/U credit.
592 Special Topics in Statistics (3)
Advanced topics of current interest in statistics. (Lec. 3) Pre: permission of chairperson. May be taken more than once.
599 Master’s Thesis Research
Number of credits is determined each semester in consultation with the major professor or program committee. (Independent Study) S/U credit.
610 Parsimony Methods
See Psychology 610.
612 Structural Modeling
See Psychology 612.
In addition to statistics courses offered by the Department of Computer Science and Statistics under the STA code, there are a number of statistics-oriented courses offered by other departments:
210 Managerial Statistics I
212 Managerial Statistics II
Industrial and Systems Engineering
411 Probability and Statistics for Engineers
412 Statistical Methods for Engineers
533 Advanced Statistical Methods for Research and Industry
634 Design and Analysis of Industrial Experiments
451 Introduction to Probability and Statistics
452 Mathematical Statistics
550 Probability and Stochastic Processes
551 Mathematical Statistics
Master’s of Business Administration
500 Statistical Methods for Management
582 Applied Time Series Methods and Business Forecasting
300 Quantitative Methods in Psychology
533 Advanced Quantitative Methods in Psychology
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