PBHL 520 BIOSTATISTICS (4 credits)
Introduces and applies the biostatistics tools and analytical base for population-based and community health assessment and evaluation. The focus is on providing a broad and basic understanding of biostatistics, with more advanced methods included as appropriate.
PBHL 620 INTERMEDIATE BIOSTATISTICS I (3 credits)
Intermediate Biostatistics is a required course for the Master of Public Health (MPH) Program of Study, Concentration in Epidemiology and in Biostatistics. It covers topics in epidemiological statistics, nonparametric statistics, consulting skills, choices of techniques, and data cleaning.
PBHL 621: INTERMEDIATE BIOSTATISTICS II (3 credits)
This course reinforces the basic biostatistics and data management skills acquired in the Intermediate Biostatistics I course. The main focus will be on model assumption checking and fit assessment; however specialized topics like modeling variable with more than two levels and repeated measures will be covered.
PBHL 622: INTRODUCTION TO BIOSTATISTICS THEORY (3 credits)
This is an introductory course in probability and the theory of biostatistics that include the introduction of the probability distributions, as well as focusing on underlying theoretical foundations.
PBHL 623: BIOSTATISTICS COMPUTING (3 credits)
Trains students in data management and graphical presentation skills so that they can independently manage small to intermediate sized research data bases. Statistical packages SAS and R will be covered.
PBHL 625: LONGITUDINAL DATA ANALYSIS (3 credits)
Covers statistical methods and software commonly used to analyze longitudinal or repeated measurements data that are often encountered in public health and biomedical studies.
PBHL 628: SURVIVAL ANALYSIS (3 credits)
This course will provide the students with different approaches of analysis of survival data. These techniques are particularly useful in cohort designs studies where the main outcome of interest is the onset of an event and the information time to event is available.
PBHL 629: DESIGN AND ANALYSIS OF CLINICAL TRIALS (3 credits)
The purpose of this course is to cover the design and conduct of clinical trials. The course will also cover how to evaluate the scientific rigor of studies of clinical trials published in the scientific literature. Topics which will include power and sample size, study design, randomization methods, recruitment, missing data, ethical issues and statistical analysis methods.
PBHL 631: APPLIED MULTIVARIATE STATISTICS (3 credits)
This course introduces students to statistical methods for describing and analyzing multivariate data. Topics include basic matrix algebra; multivariate normal distribution; linear models with multivariate response; multivariate analysis of variance; profile analysis; dimension reduction techniques, including principal component analysis, factor analysis, canonical correlation, multidimensional scaling; discriminate/cluster analysis; and classification/regression trees.
PBHL 683: ADVANCED CLINICAL TRIALS & EXPERIMENTAL DESIGN (3 credits)
This course prepares students to design & conduct clinical trials and other health related experiments. It will cover the development of a study protocol for a clinical trial, selection of the study population, sample size, and treatment assignment methods. Advanced experimental designs will also be covered.
PBHL 684: BIOSTATISTICS THEORY II (4 credits)
This course is a continuation of Biostatistics Theory I focusing on concepts and methods of statistical inference. Topics include point/interval estimation, methods of moments, maximum likelihood estimation, Bayes estimates, hypothesis testing, Neyman-Pearson lemma, likelihood ratio tests and large sample approximation, and Bayesian analysis.
PBHL 686: ADVANCED STATISTICAL COMPUTING (3 credits)
This course expands on computational methods used in biostatistics. It covers numerical techniques, programming, and simulations and will connect these to fundamental concepts in probability and statistics. The course will use the statistical software, R, to apply these concepts and enable the practical application of biostatistical models to real-world problems.
PBHL 687: READINGS IN BIOSTATISTICS (1 credit)
Guided readings course designed to introduce MS Biostatistics students (and other interested students) to classic papers in Biostatistics. Provides students with exposure to classic biostatistics papers and practice critically reading statistics literature. Also exposes students to some issues relevant to the practice of biostatistics that are not covered in coursework.
PBHL 688: BIOSTATISTICS THEORY LAB (1 credit)
This course is a complement to Biostatistics Theory I in the sense that statistical concepts and methods will be developed in a mathematical framework and also additional topics will be discussed as time permits. Topics tentatively selected include: distributions, conditional distributions and expectation, probability inequalities/identities, limit theorems, and Bayesian methods.