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Full-Text Articles in Medicine and Health Sciences
Pubh 9130 - Professional Seminar In Biostatistics, Robert Vogel
Pubh 9130 - Professional Seminar In Biostatistics, Robert Vogel
Jiann-Ping Hsu College of Public Health Syllabi
This course focuses on study design and sampling methods as well as data analysis of small and large, national and local health surveys and vital statistics in order to gain experience describing data using effective graphical and numerical methods. Students will use statistical software (SAS) to analyze data originating from various survey designs, including data from experimental designs such as parallel, longitudinal studies that involve several treatment or intervention groups. Students will work in groups on data analysis projects and case studies in order to be exposed to others' expertise in different areas of public health and to learn effective …
Pubh 5520/5520g - Introduction To Public Health, Katie M. Mercer
Pubh 5520/5520g - Introduction To Public Health, Katie M. Mercer
Jiann-Ping Hsu College of Public Health Syllabi
This course is designed to give students a foundation in the core functions of the population-based public health (assessment, policy development and assurance). In addition, this course will examine the 10 essential services of public health within these core functions. Defining effective public health practice and providing knowledge about the technical, social, and political parameters related to public health research and practice are goals for this class. Students will gain an understanding of public health as a broad area of work that applies the benefits of current biomedical, environmental, social, and behavioral knowledge in ways that maximize the health status …
Bios 9134 - Stochastic Processes For Systems Biology, Daniel Linder
Bios 9134 - Stochastic Processes For Systems Biology, Daniel Linder
Jiann-Ping Hsu College of Public Health Syllabi
This course provides the student with an introduction to stochastic processes with emphasis on Markov chains, The Poisson Process, Brownian Motion and other continuous time processes. The theory developed will be used to model and simulate complex biochemical reaction networks and perform network inference given data from the stochastic trajectory of a biological process, typically arising from microarray or next generation sequencing experiments.