PUBH-BIO 605: Applied Survival Analysis
Winter Quarter
This course provides an introduction to time-to-event data analysis. Topics covered include: estimation of summary survival statistics based upon censored or truncated data employing the Kaplan-Meier procedure, tests of hypothesis for survival curves using the log rank procedure, proportional hazards regression analysis for censored or truncated data with extensions to time-dependent covariates and model building. Emphasis will be placed upon analyzing real health science data examples.
PUBH-BIO 606: Applied Logistic Regression
Winter Quarter, every other year
This course explores the use of the logistic regression model in medical and epidemiologic research. Topics include estimation and interpretation of the coefficients in the logistic regression model; confounding and effect modification; stratified analysis via logistic regression; assessing the scale of variables in the logistic regression model; numerical problems; logistic regression diagnostics; conditional logistic regression; multinomial and ordinal logistic regression. Model building strategies and methods to evaluate model performance will be covered. Relevant statistical software packages will be discussed.
PUBH-BIO 651: Survey Sampling Methods
Winter Quarter
This course focuses on the development of the major elements involved in the design of sample surveys and in the statistical analysis of data from complex sample surveys. Examples from completed and ongoing sample surveys will be used to illustrate the concepts. Much emphasis will be placed on the use of STATA in analysis of data from complex sample surveys, and many of the exercises will involve use of this software package. This is not a course in questionnaire design or interviewing.
PUBH-BIO 701: Design and Analysis of Studies in the Health Sciences
Autumn and Winter Quarter
This course is intended to provide students with comprehensive introduction to the principles of modern biostatistical methods and their applications in biomedical research. The course will cover material from basic data summary methods to estimation and hypothesis testing, with an emphasis on the understanding of these methodologies from a statistical inference perspective. Application to real data from various studies in public health and clinic research will be used to illustrate the material.
PUBH-BIO 702: Design and Analysis of Studies in the Health Sciences II
Winter and Spring Quarter
As a continuation of PUBH-BIO 701, this course introduces students to a number of statistical methods and their applications using computer software. The material covers analysis of contingency tables, nonparametric tests, analysis of variance, multiple comparison procedures and linear regression. Students have to finish PH-BIO 701 with at least a B- or pass a waiver exam in order to take this course.
PUBH-BIO 703: A problem-oriented approach to biostatistics
Autumn and Spring Quarter
In this course, five generic problems will be discussed, including analysis of variance, ordinary least squares regression, repeated measures analysis, logistic regression analysis and time-to-event analysis. The four latter problems will be illustrated with a real data set and four reports will be produced that simulate writing a paper for publication. Such reports will rely heavily on use of statistical software and will follow the usual outline for article publication, namely, introduction and motivation, materials and methods and results of the study, discussion and conclusions. Students have to finish PH-BIO 701 and PH-BIO 702 in order to take this course.
PUBH-BIO 706: Regression modeling of Time-to-event Data
Spring Quarter
This course provides refinements and extensions of time-to-event analyses. Topics covered include: common parametric models for survival data, estimation of the survival function for left, double and interval censoring, additive hazards regression models, regression diagnostics (including Cox-Snell residuals, graphical checks of the proportional hazards assumption, deviance residuals) and multivariate survival analysis (including multiple/recurrent event times). Emphasis will be placed upon analyzing real health science examples.
PUBH-BIO TBA: Applied Statistical Analysis with Missing Data
Spring Quarter
This class will review statistical analysis for complete data and provide an introduction to the models and methods for the dataset with missing values. The topics covered are: complete-data analysis, available-case analysis, single imputation, EM algorithm, multiple imputation. The course has a significant component of statistical computations dealing with missing data. It is intended for those who already have some experience with standard statistical methods for complete data and want to extend them to handle the missing data in practice.
PUBH-BIO 625: Multi-dimensional Data Analysis with Computer-aided applications in Health Sciences
Spring Quarter
This course provides an introduction to statistical methods for analyzing multi-dimensional data, which arise frequently in many areas of health sciences. Multivariate analysis techniques such as: principle component analysis, factor analysis, and cluster analysis etc. will be covered. This course is intended for those who want to gain experience in analyzing multi-dimensional data using statistical software. The main goals are to understand the methodological background and use computer software packages such as STATA to analyze data, instead of mathematical derivation.
PUBH-BIO 624: Applied Longitudinal Data Analysis
Autumn Quarter
This course provides an introduction to statistical models and methods for the analysis of data arising from longitudinal studies, in which repeated measurements are obtained for each subject over time. The majority of the course is devoted to linear mixed effects models and GEE methods for marginal models, while the analysis of longitudinal data with binary outcomes and missing data problems are discussed. Practical applications of the methods are emphasized.
PUBH-BIO 786: Biostatistics Consulting Laboratory
Spring Quarter
This course provides consulting experiences with client researchers from the College of Public Health, the Colleges of Medicine, Nursing, Dentistry, Optometry and Veterinary Medicine. In a consulting session, clients will give a description of the problem. Students will question clients until a clear understanding of the problem is shared. Proposed analyses will be discussed and implemented, and reports will be written. Work frequently includes sample size or power calculations, repeated measures or mixed model analysis, logistic regression analysis, and survival analysis. Assistance will be provided at all stages of investigations, from initial grant writing to final reports.
PUBH-BIO 601S-Winter (PEP): Statistical Methods for Public Health I
Winter Quarter
This course is intended to provide students in the PEP program with an introduction to the principles of modern biostatistical methods and their applications in biomedical research. Application to real data from various studies in public health and clinic research are used to illustrate the materials that include: data description, basic concepts in probability, sampling distribution, confidence intervals and hypothesis testing.
PUBH-BIO 602S-Spring (PEP): Statistical Methods for Public Health II
Spring Quarter
This course for students in the PEP program continues the introduction to the principles of modern biostatistical methods and their applications in biomedical research. It covers statistical methods for analysis of variance, multiple comparisons, nonparametric tests, contingency tables, correlations and linear regression.
PUBH-BIO 504: Biostatistics for Lab Scientists
Summer Quarter
