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Full-Text Articles in Medicine and Health Sciences
Chbe 9630 - Doctoral Seminar In Community Health, Joseph Telfair
Chbe 9630 - Doctoral Seminar In Community Health, Joseph Telfair
Jiann-Ping Hsu College of Public Health Syllabi
This course will provide students with the opportunity to analyze the history and current applications of social and behavioral science theories, approaches, models and strategies (learned throughout the curriculum) to public health practice and research. This seminar will examine the breadth of epistemologies employed as we develop effective methods to create change across the ecological spectrum, from individual to policy levels. Emphasis will be placed on critical thinking skills to help students engage in dialogue about what will be effective research and practice in diverse public health settings over the next 10 years.
Pubh 6535 - Theoretical Perspectives Of The Social And Behavioral Sciences In Public Health, Stacy W. Smallwood
Pubh 6535 - Theoretical Perspectives Of The Social And Behavioral Sciences In Public Health, Stacy W. Smallwood
Jiann-Ping Hsu College of Public Health Syllabi
This course is designed to familiarize students with the history and current applications of social and behavioral sciences as they are applied to public health practice and research. It explores social and behavioral science models, theories, and approaches that inform public health, and their philosophical roots. The course also examines social and behavioral determinants of health equity across the ecological spectrum. Emphasis is placed on critical thinking skills to help students synthesize and utilize information in research and practice. An important contribution of this course is the emphasis on recognizing the contributions of social and behavioral science research and practice …
Pubh 6541 - Biostatistics, Lili Yu
Pubh 6541 - Biostatistics, Lili Yu
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.