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Course Criteria
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3.00 Credits
No course description available.
Prerequisite:
Separate File
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4.00 Credits
No course description available.
Prerequisite:
Separate File
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4.00 Credits
No course description available.
Prerequisite:
Separate File
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3.00 Credits
Generalized linear models, REML in mixed models for randomized blocks, split plots, longitudinal data. Generalized estimating equations, empirical model building, cross validation, recursive partitioning, generalized additive models, projection pursuit. Offered: jointly with BIOST 570; A.
Prerequisite:
STAT 513; STAT 533 or STAT 421 and STAT 423, and a course in matrix algebra for STAT 570
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3.00 Credits
Generalized linear models, REML in mixed models for randomized blocks, split plots, longitudinal data. Generalized estimating equations, empirical model building, cross validation, recursive partitioning, generalized additive models, projection pursuit. Offered: jointly with BIOST 571; W.
Prerequisite:
STAT 570
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3.00 Credits
Generalized linear models, REML in mixed models for randomized blocks, split plots, longitudinal data. Generalized estimating equations, empirical model building, cross validation, recursive partitioning, generalized additive models, projection pursuit. Offered: jointly with BIOST 572; Sp.
Prerequisite:
STAT 571
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3.00 Credits
Advanced topics in generalized linear models and the analysis of categorical data: overdispersion, quasilikelihood, parameters in link and variance functions, exact conditional inference, random effects, saddlepoint approximations. Credit/no credit only. Offered: jointly with BIOST 573; alternate years.
Prerequisite:
STAT 571 and STAT 582
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3.00 Credits
Use of multivariate normal sampling theory, linear transformations of random variables, one- and two-sample tests, profile analysis, partial and multiple correlation, multivariate ANOVA and least squares, discriminant analysis, principal components, factor analysis, robustness, and some special topics. Some computer use included. Offered: jointly with BIOST 574; alternate years.
Prerequisite:
STAT 570 or permission of instructor
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3.00 Credits
Statistical methods for censored survival data. Covers parametric and nonparametric methods, Kaplan-Meier survival curve estimator, comparison of survival curves, log-rank test, regression models including the Cox proportional hazards model, competing risks. Offered: jointly with BIOST 576; alternate years.
Prerequisite:
STAT 581 and either STAT 423, BIOST 515, or Q SCI 483, or equivalent
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3.00 Credits
Concepts important in experimental design: randomization, blocking, confounding. Application and analysis of data from randomized blocks designs, Latin and Graeco-Latin squares, incomplete blocks designs, split-plot and repeated measures, factorial and fractional replicates, response surface experiments.
Prerequisite:
STAT 570 or STAT 421 (minimum grade 3.0), or permission of instructor. Offered: jointly with BIOST 577.
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