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Full-Text Articles in Public Health
Bios 6331 - Regression Analysis In Biostatistics, Jingjing Yin
Bios 6331 - Regression Analysis In Biostatistics, Jingjing Yin
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces the methods for analyzing biomedical and health related data using linear regression models. The course will introduce the student to matrix algebra as used in linear models. The course will involve model selection, diagnosis and remedial techniques to correct for assumption violations. The students will learn how to apply SAS procedures PROC REG, PROC CORR, and PROC GLM and interpret the results of analysis. Emphasis will also be placed on the development of critical thinking skills.
Bios 9231 - Bayesian Statistics I, Hani Samawi
Bios 9231 - Bayesian Statistics I, Hani Samawi
Jiann-Ping Hsu College of Public Health Syllabi
This course provides the student with an introduction Bayesian analysis and compares Bayesian methods to that of frequentists. The course includes selection of prior distributions, computing posterior distributions, and conjugate models such as the Beta-Binomial, Normal-Normal, and Gamma-Poisson models. Bayesian inference using point and interval estimation, Bayesian hierarchical models, and exchangeability will be explored. Topics including Empirical Bayes versus a fully Bayes approach, Markov Chain Monte Carlo methods and model checking using Bayes factors and sensitivity analyses will be included. Prerequisite: A minimum grade of "B" in BIOS 9131, or permission from instructor.
Pubh 6541 01f - Biostatistics (Online), Haresh Rochani
Pubh 6541 01f - Biostatistics (Online), Haresh Rochani
Jiann-Ping Hsu College of Public Health Syllabi
This course examines statistics in public health and related sciences, including sampling, probability, basic discrete and continuous distributions, descriptive statistics, hypothesis testing, confidence intervals, categorical data analysis, regression, and correlation. Emphasis will be on the development of critical thinking skills and health data analysis applications with computer software.
Bios 8130 – Advanced Topics In Biostatistics, Robert L. Vogel
Bios 8130 – Advanced Topics In Biostatistics, Robert L. Vogel
Jiann-Ping Hsu College of Public Health Syllabi
This course provides an overview of advanced biostatistical descriptive and inferential methods including multiple regression, logistic regression, longitudinal data, survival analysis, and repeated measures with applications to public health and biomedical studies. Emphasis will be placed on developing statistical reasoning and critical thinking skills in addition to programming skills using statistical software (SAS) to analyze public health and biomedical data.
Bios 9131 - Advanced Statistical Theory For Biostatistics I, Hani Samawi
Bios 9131 - Advanced Statistical Theory For Biostatistics I, Hani Samawi
Jiann-Ping Hsu College of Public Health Syllabi
This course provides an advanced study of theoretical statistics. Topics include: an introduction probability and sample space, conditional probability and Bayes Theorem, probability distribution of a random variable, discrete and continuous random variables, functions of random variables, moments and moment generating functions, order statistics and their distributions, discrete distributions, continuous distributions, bivariate and multivariate normal distribution, modes of convergence, limiting moment generating functions, and the central limit theorems. 3 hours
Bios/Pubh 6541 - Biostatistics, Jingjing Yin
Bios/Pubh 6541 - Biostatistics, Jingjing Yin
Jiann-Ping Hsu College of Public Health Syllabi
This 4 credit course examines statistics in public health and related sciences, including sampling, probability, basic discrete and continuous distributions, descriptive statistics, hypothesis testing, confidence intervals, categorical data analysis, regression, and correlation. Emphasis will be on the development of critical thinking skills and health data analysis applications with computer software.
Bios 6135 - Topics Of Inference In Biostatistics, Lili Yu
Bios 6135 - Topics Of Inference In Biostatistics, Lili Yu
Jiann-Ping Hsu College of Public Health Syllabi
This course provides an introduction to the fundamental knowledge of derivatives, integrals, and matrix algebra found in biostatistical inference. The course will introduce the theory of quadratic forms and their applications to distributions, the method of maximum likelihood estimation, likelihood ratio tests, restricted maximum likelihood, and the basis for inferences derived from hypothesis testing and confidence intervals. Emphasis will be placed on how these techniques are used in biostatistical problems and applications using examples from the pharmaceutical industry.
Bios 7534 - Data Management For Biostatistics, Haresh Rochani
Bios 7534 - Data Management For Biostatistics, Haresh Rochani
Jiann-Ping Hsu College of Public Health Syllabi
This course emphasizes data management and software applications using the SAS (Statistical Analysis System) software package. It will introduce the student to SAS codes for: inputting and outputting data, creating temporary and permanent data sets, creating formatted and labeled SAS data sets, merging and connecting SAS data sets, creating output using the TABULATE and REPORT procedures, debugging a SAS program that includes the TABULATE, REPORT and SQL procedures, using characteristic functions in SAS, using a random number generator, probability distributions, arrays, and date and time functions. Students will also write a simple and complex query using the SQL procedure; create, …
Bios 9130 - Research Seminar In Biostatistics, Hani Samawi
Bios 9130 - Research Seminar In Biostatistics, Hani Samawi
Jiann-Ping Hsu College of Public Health Syllabi
This course is designed to provide the student with the current best practices in biostatistical consulting. Topics include: Identifying and constructing appropriate questions to ask clients regarding their consultation request, an overview of appropriate statistical methods and SAS software procedures to use for specific study designs and statistical analysis of collected data, directing a consultation appointment without faculty lead, conducting exploratory data analyses, conducting effective analyses based on appropriate statistical methods, conducting needed simulation (including Monte Carlo methods and Bootstrap methods) and providing oral and written communication of statistical findings. 3 credit houses.
Pubh 3231 - Epidemiology And Biostatistics, Helen W. Bland
Pubh 3231 - Epidemiology And Biostatistics, Helen W. Bland
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces the student to the principles and practice of epidemiology and vital statistics. Students will be exposed to the historical development of epidemiology, concepts of causality, definitions of health and disease, and sources of community health data. Current principles and practices in the cause, prevention and control of diseases in various community settings will be emphasized. 3 credits (3-0-3).