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Full-Text Articles in Medicine and Health Sciences
Bios 6332 - Experimental Design In Biostat, Jingjing Yin
Bios 6332 - Experimental Design In Biostat, Jingjing Yin
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces the methods for analyzing biomedical and health related data using ANOVA methods. The course will involve one-way and two-way ANOVA with fixed or/and random effects and sample size/power calculation. And Logistic and Poisson regression models will also be addressed. The students will learn how to apply SAS procedures PROC POWER, PROC GLM, PROC MIXED, PROC GENMOD and PROC GLIMMIX and interpret the results of analysis. Emphasis will also be placed on the development of critical thinking skills.
Bios 7131 - Survival Analysis, Lili Yu
Bios 7131 - Survival Analysis, Lili Yu
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces statistical methods for analyzing data collected on the time to an event, referred to as survival data, in medical research and other health-related fields. Emphasis will be placed on the application of the methodology and computational aspects rather than theory. The students will learn how to apply SAS procedures to data and interpret the results.
Bios 9134 - Stochastic Processes For Systems Biology, Xinyan Zhang
Bios 9134 - Stochastic Processes For Systems Biology, Xinyan Zhang
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.
Bios 9433 - Analysis With Missing & Miss-Specified Data, Haresh Rochani
Bios 9433 - Analysis With Missing & Miss-Specified Data, Haresh Rochani
Jiann-Ping Hsu College of Public Health Syllabi
This course is designed to provide the student with the basics of methods for analyzing data with missing data and misspecified data. This course will cover the following topics: missing data in experiments, complete case analysis, weighted complete case analysis, available case analysis, single imputation methods such as mean, regression, last value varied forward, hot deck imputation, cold deck imputation, Bayes Imputation, Multiple imputation, and non-ignorable missing data models. Prerequisite: A minimum grade of “B” in BIOS 9131. Co-requisite: BIOS 9231.
Cohe 6130 - A:Research Methods In Health Science, Stacy W. Smallwood
Cohe 6130 - A:Research Methods In Health Science, Stacy W. Smallwood
Jiann-Ping Hsu College of Public Health Syllabi
Introduces students to research methods in health science. Development and presentation of practicum and research proposal will be the focus of the course. Additional emphasis will be placed on Community- Based Participatory Research for Health.
Cohe 7233 - Ecologically Focused Program Evaluation, Moya L. Alfonso
Cohe 7233 - Ecologically Focused Program Evaluation, Moya L. Alfonso
Jiann-Ping Hsu College of Public Health Syllabi
This course provides an overview of the principles of program evaluation. It explores the methods associated with systematic evaluation of public health education programs. Students will learn the skills needed to plan, conduct, and critique evaluation research. The content of the course includes: program logic models, formative, process, impact, outcome, and summative evaluation; theory driven evaluation; a review of validity issues as they relate to evaluation; sampling in a complex context; operationalizing variables; assessment of measurement instruments; and analysis of quantitative evaluation designs. In addition, issues that impact evaluation across the ecological model, specifically the importance of context and equity …
Bios 9333a – Applied Longitudinal Data Analysis, Haresh Rochani
Bios 9333a – Applied Longitudinal Data Analysis, Haresh Rochani
Jiann-Ping Hsu College of Public Health Syllabi
This course provides an introduction to longitudinal and clustered data. Topics include the basic concepts of longitudinal data, linear models for longitudinal data, generalized linear models and salient features, generalized estimating equations, generalized linear mixed effects models, missing data and dropouts, sample size and power, repeated measures, and multilevel linear models.
Chbe 9230 - Community-Based Public Health Program Planning And Evaluation, Andrew Hansen
Chbe 9230 - Community-Based Public Health Program Planning And Evaluation, Andrew Hansen
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces students to the theory and application of community-based program planning and evaluation. Concepts in community assessment, organization, and mobilization for the purposes of addressing identified public health concerns will serve as the foundation for the public health planning process. Appropriate techniques of partnership building, planning strategies, data collection, data analysis, and evidence-based decision-making will also be introduced.
Cohe 7237 - Rural Community Health Issues, Ashley Walker
Cohe 7237 - Rural Community Health Issues, Ashley Walker
Jiann-Ping Hsu College of Public Health Syllabi
A study of social, economic, political, and cultural influences that impact the health of individuals and families in rural communities. Designed for health professionals, this course focuses on improving health status and developing culturally appropriate and effective interventions and services in rural settings.
Bios 7231 – Clinical Trial Methodology, Karl E. Peace
Bios 7231 – Clinical Trial Methodology, Karl E. Peace
Jiann-Ping Hsu College of Public Health Syllabi
Students are introduced to regulatory, scientific, statistical and practical aspects of methods inherent in design, monitoring and analysis of clinical trials. Clinical trials in many areas of drug development are presented, discussed and critiqued.
Bios 9132 - Advanced Clinical Trial Methodology, Karl E. Peace
Bios 9132 - Advanced Clinical Trial Methodology, Karl E. Peace
Jiann-Ping Hsu College of Public Health Syllabi
Students are introduced to regulatory, scientific, statistical and practical aspects of methods inherent in design, monitoring and analyzing clinical trials. Clinical trials in many areas of drug development are presented, discussed and critiqued.
Bios 6332 - Experimental Design In Biostat, Jingjing Yin
Bios 6332 - Experimental Design In Biostat, Jingjing Yin
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces the methods for analyzing biomedical and health related data using ANOVA methods. The course will involve one-way and two-way ANOVA with fixed or/and random effects and sample size/power calculation. And Logistic and Poisson regression models will also be addressed. The students will learn how to apply SAS procedures PROC POWER, PROC GLM, PROC MIXED, PROC GENMOD and PROC GLIMMIX and interpret the results of analysis. Emphasis will also be placed on the development of critical thinking skills.
Bios 7131 - Survival Analysis, Lili Yu
Bios 7131 - Survival Analysis, Lili Yu
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces statistical methods for analyzing data collected on the time to an event, referred to as survival data, in medical research and other health-related fields. Emphasis will be placed on the application of the methodology and computational aspects rather than theory. The students will learn how to apply SAS procedures to data and interpret the results.
Bios 9433 - Analysis With Missing & Miss-Specified Data, Robert Vogel
Bios 9433 - Analysis With Missing & Miss-Specified Data, Robert Vogel
Jiann-Ping Hsu College of Public Health Syllabi
This course is designed to provide the student with the basics of methods for analyzing data with missing data and misspecified data. This course will cover the following topics: missing data in experiments, complete case analysis, weighted complete case analysis, available case analysis, single imputation methods such as mean, regression, last value varied forward, hot deck imputation, cold deck imputation, Bayes Imputation, Multiple imputation, and non-ignorable missing data models. Prerequisite: A minimum grade of “B” in BIOS 9131. Co-requisite: BIOS 9231.
Cohe 6130a - Research Methods In Health Science, Dziyana Nazaruk
Cohe 6130a - Research Methods In Health Science, Dziyana Nazaruk
Jiann-Ping Hsu College of Public Health Syllabi
Introduces students to research methods in health science. Development and presentation of practicum and research proposal will be the focus of the course. Additional emphasis will be placed on Community- Based Participatory Research for Health.
Cohe 7233 - Ecologically Focused Program Evaluation, Moya L. Alfonso
Cohe 7233 - Ecologically Focused Program Evaluation, Moya L. Alfonso
Jiann-Ping Hsu College of Public Health Syllabi
This course provides an overview of the principles of program evaluation. It explores the methods associated with systematic evaluation of public health education programs. Students will learn the skills needed to plan, conduct, and critique evaluation research. The content of the course includes: program logic models, formative, process, impact, outcome, and summative evaluation; theory driven evaluation; a review of validity issues as they relate to evaluation; sampling in a complex context; operationalizing variables; assessment of measurement instruments; and analysis of quantitative evaluation designs. In addition, issues that impact evaluation across the ecological model, specifically the importance of context and equity …
Cohe 7238a - Communication For Change, John S. Luque
Cohe 7238a - Communication For Change, John S. Luque
Jiann-Ping Hsu College of Public Health Syllabi
This course is designed to familiarize students with the history and current applications of health communication theory and strategies to public health practice and research. This course examines how to structure, develop and evaluate social marketing, media advocacy, risk communication and advocacy skills for change. In addition, systematic qualitative data collection processes such as interviewing skills, participant observation and focus groups will be developed. Emphasis is placed on critical thinking skills to help students analyze and utilize these skills in research and practice.
Cohe 7237 - Rural Community Health Issues, Ashley Walker
Cohe 7237 - Rural Community Health Issues, Ashley Walker
Jiann-Ping Hsu College of Public Health Syllabi
A study of social, economic, political, and cultural influences that impact the health of individuals and families in rural communities. Designed for health professionals, this course focuses on improving health status and developing culturally appropriate and effective interventions and services in rural settings.
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.
Chbe 9230 - Community-Based Public Health Program Planning And Evaluation, Moya L. Alfonso
Chbe 9230 - Community-Based Public Health Program Planning And Evaluation, Moya L. Alfonso
Jiann-Ping Hsu College of Public Health Syllabi
This course introduces students to the theory and application of community-based program planning and evaluation. Concepts in community assessment, organization, and mobilization for the purposes of addressing identified public health concerns will serve as the foundation for the public health planning process. Appropriate techniques of partnership building, planning strategies, data collection, data analysis, and evidence-based decision-making will also be introduced.
Bios 9333 – Applied Longitudinal Data Analysis, Haresh Rochani
Bios 9333 – Applied Longitudinal Data Analysis, Haresh Rochani
Jiann-Ping Hsu College of Public Health Syllabi
This course provides an introduction to longitudinal and clustered data. Topics include the basic concepts of longitudinal data, linear models for longitudinal data, generalized linear models and salient features, generalized estimating equations, generalized linear mixed effects models, missing data and dropouts, sample size and power, repeated measures, and multilevel linear models.