*Biostatistics 231. Statistical Inference I
Catalog Number: 8773
Yi Li (Public Health)
Half course (spring term). M., W., 10:3012:20 and a 1.5-hour lab each week.
Exponential families, sufficiency, ancillarity, completeness, method of moments, maximum likelihood, unbiased estimation, Rao-Blackwell and Lehmann-Scheffe theorems, information inequality, Neyman-Pearson theory, likelihood ratio, score and Wald tests, uniformly and locally most powerful tests, asymptotic relative efficiency.
Note: Offered jointly with the School of Public Health as BIO231.
Prerequisite: Biostatistics 230 or signature of instructor required.
*Biostatistics 232. Methods I
Catalog Number: 0131
Victor Gerard DeGruttola (Public Health)
Half course (fall term). M., W., 10:3012:20.
Introductory course in the analysis of Gaussian and categorical data. The general linear regression model, ANOVA, robust alternatives based on permutations, model building, resampling methods (bootstrap and jackknife), contingency tables, exact methods, logistic regression.
Note: Offered jointly with the School of Public Health as BIO232.
Prerequisite: Signature of instructor required.
*Biostatistics 233. Methods II
Catalog Number: 7804
Robert James Gray (Public Health) and Lee-Jen Wei (Public Health)
Half course (spring term). M., W., 8:3010:20 and a 1.5 hour lab each week.
Intermediate course in the analysis of Gaussian, categorical, and survival data. The generalized linear model, Poisson regression, random effects and mixed models, comparing survival distributions, proportional hazards regression, splines and smoothing, the generalized additive model.
Note: Offered jointly with the School of Public Health as BIO233.
Prerequisite: Biostatistics 232 or signature of instructor required.
*Biostatistics 235. Regression and Analysis of Variance
Catalog Number: 7549
Marvin Zelen (Public Health)
Half course (fall term). M., W., 10:3012:20.
An advanced course in linear models - regression and analysis of variance. Estimation (maximum likelihood and least squares) and inference (confidence intervals, hypothesis testing, analysis of residuals) are presented from a theoretical and data analysis perspective.
Note: Offered jointly with the School of Public Health as BIO235.
Prerequisite: Biostatistics 230 and Biostatistics 232. Background in matrix algebra and linear regression required.
Biostatistics 244. Analysis of Failure Time Data
Catalog Number: 2140
Judith Lok
Half course (fall term). M., W., 1:303:20 and one two-hour lab each week.
Discusses the theoretical basis of concepts and methodologies associated with survival data and censoring, nonparametric tests, and competing risk models. Much of the theory is developed using counting processes and martingale methods.
Note: Offered jointly with the School of Public Health as BIO244.
Prerequisite: Biostatistics 231 and Biostatistics 233.
Biostatistics 245. Analysis of Multivariate and Longitudinal Data
Catalog Number: 3247
Xihong Lin (Public Health)
Half course (spring term). M., W., 10:3012:20.
The multivariate normal distribution, Hotellings T2, MANOVA, repeated measures, the multivariate linear model, random effects and growth curve models, generalized estimating equations, multivariate categorical outcomes, missing data, computational issues for traditional and new methodologies.
Note: Offered jointly with the School of Public Health as BIO245.
Prerequisite: Biostatistics 231 and Biostatistics 235.
[*Biostatistics 247. Design of Scientific Investigations]
Catalog Number: 3723
Michael David Hughes (Public Health)
Half course (spring term). Tu., Th., 3:305:20.
Sample size considerations, basic principles of experimental design (randomization, replication, and balance), block designs, factorial experiments, response surface modeling, optimal design, clinical trials, adaptive, and sequential designs.
Note: Expected to be given in 200809. Offered jointly with the School of Public Health as BIO247. Offered in alternate years. Minimum enrollment of 10 students required.
Prerequisite: Biostatistics 235.
*Biostatistics 248. Advanced Statistical Computing
Catalog Number: 6420
Paul J. Catalano (Public Health)
Half course (spring term). M., W., 8:3010:20.
Computer arithmetic, matrix algebra, numerical optimization with application to MLEs and GEEs, spline smoothing, numerical integration, random number generation, simulation methods, Gibbs sampling, bootstrap methods, missing data and EM, imputation, and data augmentation algorithms.
Note: Offered jointly with the School of Public Health as BIO248.
Prerequisite: Students should be proficient with C or Fortran programming. Biostatistics 235 or signature of instructor required.
*Biostatistics 249. Bayesian Methodology in Biostatistics
Catalog Number: 0759
Christopher J. Paciorek (Public Health)
Half course (fall term). Tu., Th., 10:3012:20.
Bayes theorem, decision theory, general principles (likelihood, exchangeability, de Finettis theorem), prior distributions, inference (exact, normal approximations, non-normal approximations), computation (Monte Carlo, convergence diagnostics), model diagnostics (Bayes factors, predictive ordinates), design, empirical Bayes methods.
Note: Offered jointly with the School of Public Health as BIO249. Offered in alternate years.
Prerequisite: Biostatistics 231 and Biostatistics 232, or signature of instructor required.
*Biostatistics 250. Probability Theory and Applications II
Catalog Number: 5076
Andrea Gloria Rotnitzky (Public Health)
Half course (spring term). Tu., Th., 1:303:20.
Basic set theory, measure theory, Riemann-Stieltjes and Lebesgue integration, conditional probability, conditional expectation (projection), martingales, Radon-Nikodym derivative, product measure and Fubinis Theorem, limit theorems on sequences of random variables, stochastic processes, weak convergence.
Note: Offered jointly with the School of Public Health as BIO250.
Prerequisite: Biostatistics 230 and Biostatistics 232, or signature of instructor required.
Biostatistics 251. Statistical Inference II
Catalog Number: 5280
Rebecca A. Betensky (Public Health)
Half course (fall term). Tu., Th., 1:303:20 and one two-hour lab each week.
Advanced topics in statistical inference. Limit theorems, multivariate delta method, properties of maximum likelihood estimators, saddle point approximations, asymptotic relative efficiency, robust and rank-based procedures, resampling methods, nonparametric curve estimation.
Note: Offered jointly with the School of Public Health as BIO251.
Prerequisite: Biostatistics 231.
[Biostatistics 257. Advanced Statistical Genetics] - (New Course)
Catalog Number: 8359
Nan Laird (Public Health) and Christoph Lange (Public Health)
Half course (spring term). Tu., Th., 10:3012:20.
This survey course, intended for a wide audience, will provide an introduction to analytic techniques for modern genomics and genetics.Topics include genome sequencing, DNA microarrays, proteomics, genetic epidemiology and gene mapping for complex disease.
Note: Expected to be given in 200809.
Prerequisite: BIO 231 and BIO 233, or permission of instructor required.
Biostatistics 277. Computational Biology
Catalog Number: 1337
Guocheng Yuan (Public Health)
Half course (fall term). M., W., 3:305:20.
Introduction to statistical methods for biological problems including microarray analysis, motif finding, CHIP-chip data, and gene regulatory network. Topics include multiple hypothesis testing, clustering and classification, variable selection, hidden Markov model, and Bayesian network.
Note: Cannot be taken Pass/Fail. Offered jointly with the School of Public Health as BIO277.
Prerequisite: BIO 230 and BIO 231, or permission of instructor required.
[Biostatistics 280. Introduction to Computational Molecular Biology]
Catalog Number: 2116
Xiaole Shirley Liu (Public Health)
Half course (spring term). Hours to be arranged.
Graduate entry level course to basic problems, algorithms, and data analysis methods in computational biology. Sequence alignment, gene finding and annotation, microarray analysis, gene regulatory network, RNA/protein structure prediction, proteomics and pharmacogenetics.
Note: Expected to be given in 200809. Offered jointly with the School of Public Health as BIO280.
Biostatistics 290. Genomics & Genetics for Health Research - (New Course)
Catalog Number: 9941
John Quackenbush (Public Health)
Half course (spring term). M., W., 3:305:20.
This survey course is intended for a wide audience and will provide an introduction to genomics and genetics-inspired techniques and tools for their analysis, including genome sequencing, DNA microarrays, proteomics, and high density genetic screens.
Prerequisite: BIO 200, or BIO 201, or BIO 202 and BIO 203, or BIO 206 and one of BIO 207, BIO 208, or BIO 209, and EPI 200 or EPI 201, or signature of instructor required.
Biostatistics 291. Statistical Methods for Causality - (New Course)
Catalog Number: 5654
Andrea Gloria Rotnitzky (Public Health) and James M. Robins (Public Health)
Half course (spring term). Tu., Th., 3:305:20.
Theory of directed acyclic graph models. Identifiability of causal contrasts. Theory and applications of locally semiparametric efficient doubly-robust estimation in two models for counterfactual variables: marginal structural models and structural nested models.
Prerequisite: BIO 231, or permission of instructor required.