Epidemiology

Fall 2016 Course Offerings
BIOE 720-700 Biostatistics for Public Health - for students in the Tennessee Consortium for Public Health Workforce Education Nhu Quynh Tran
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
This course provides an introduction to the use of statistical techniques in biomedical and public health research. The course will cover common descriptive statistics including the mean, median, and standard deviation as well as techniques for testing hypotheses (analysis of variance, t-tests, regression, nonparametric methods) and issues in sampling and design of experiments. The class will be taught using online methods and is open only for students enrolled in programs of the Tennessee Consortium for Public Health Workforce Education. (online, lecture)
BIOE 720-701 Biostatistics for Public Health - for students in the Certificate in Clinical Research program Nhu Quynh Tran
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
This course provides an introduction to the use of statistical techniques in biomedical and public health research. The course will cover common descriptive statistics including the mean, median, and standard deviation as well as techniques for testing hypotheses (analysis of variance, t-tests, regression, nonparametric methods) and issues in sampling and design of experiments. The class will be taught using online methods and is open only for students enrolled in programs of the Tennessee Consortium for Public Health Workforce Education. (online, lecture)
BIOE 750 Fundamentals of Clinical Investigation Mace Coday, Ph.D.
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
This course will present an introduction to the different types of clinical research and practical methods that investigators can use in the conduct of multidisciplinary clinical research. Observational cohort studies, case-control studies, and Phase I-IV intervention-based randomized controlled clinical trials will be presented. Design distinctions, sampling and randomization procedures, data integrity, data-analysis concerns, and practical conduct for these investigative approaches will be examined. This course will also review ethical issues in conducting research in people, federal guidance for the conduct of clinical research, and the dynamic influence of behavior on the conduct of clinical research. This is an online course for the web-based Certificate in Clinical Research program. (online, lecture)
BIOE 800 Master's Thesis and Research Pamela Connor
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:variable
Research performed under the direction and supervision of the respective student's Research Advisor, in partial fulfillment of the requirements for the degree of Master of Science. (didactic, research)
BIOE 804 Master's Project Simonne Nouer
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:variable
Students will work on their master?s project in conjunction with advisor and master?s committee. Research-based course. Credit variable (1-6) as assigned by instructor. (didactic, research)
BIOE 805 Using R for Biostatistics I Zoran Bursac, PhD, MPH
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:1
This course will introduce optional statistical software computing associated with topics discussed in Biostatistics I. The primary statistical software will be R. R is an extremely versatile and powerful statistical package that is becoming very popular among researchers in virtually every research realm. Topics will include but not limited to inputting data, calculation of descriptive statistics, t-tests, confidence intervals, chi-square test, analysis of variance (ANOVA), simple and multiple regression, and non-parametric methods. This course is designed to enrich computing skills. Simultaneous or past enrollment in Biostatistics for Health Sciences I is not required, but is highly recommended. Students should have a background in fundamental statistics. Students must provide their own notebook computer. (didactic, lecture)
BIOE 810 Independent Study Simonne Nouer
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:variable
An in-depth study of some aspect of epidemiology in which the student has special interest. Study is done independently with faculty approval and supervision. (didactic, independent)
BIOE 811 Biostatistics for the Health Sciences I Betsy Tolley, PhD
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:4
This course provides students with an introduction to descriptive statistics, probability and probability distributions, estimation, and one and two sample hypothesis testing, including paired and unpaired situations, for normally distributed and ordinal data. Students will also be introduced to one-way analysis of variance, including multisample inference, one-way ANOVA, fixed-effect and random effects models, and intraclass correlation coefficients. This course also includes a mandatory statistical computing laboratory that uses SAS for data analysis throughout the semester. (online, lecture lab)
BIOE 812 Fundamentals of Epidemiology Simonne S. Nouer, MD, PhD
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
The course introduces the basic principles and methods of epidemiology and demonstrates their applicability in the field of public health. Topics to be covered include the historical perspective of epidemiology, measures of disease occurrence and of association, clinical epidemiology, disease screening, causal inference, and study design. (online, lecture)
BIOE 813 Fundamentals of SAS for Epidemiology Jim Y. Wan, Ph.D.
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
This course provides the foundation computing skills for independent analysis of epidemiologic data. Topics to be covered include an introduction to SAS as a research tool; Operating with SAS for Windows environment; Reading internal and external data into SAS; Working with variables and SAS functions; Using logical statements; Introducing SAS procedures - especially those that produce descriptive statistics; Performing simple inferential tests and power analysis; combining datasets; Reshaping data; and Introducing macro language. This course consists of 2 hour lecture and 1 hour laboratory session per week. (online, lecture lab)
BIOE 814 Health Behavior Theory and Intervention Design Mace Coday, Ph.D.
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
This course provides a wide-ranging overview of models of health behavior (including Reasoned Action, Planned Behavior, Transtheoretical, Social Cognitive, and Community/Group), along with intervention mapping, and social/ecological models. The course also demonstrates how students can apply these theories to culturally diverse and unique populations, providing ?real world? experience. Hybrid course: this course will be evenly divided between online efforts and face-to-face discussions and lectures. (hybrid, lecture)
BIOE 815 Introduction to Public Health and Preventive Medicine Phyllis Richey, Ph.D.
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
The course introduces students to the identification, understanding, and application of preventive and public health approaches to the wide range of infectious diseases and chronic disease epidemics. Methods to conduct an outbreak investigation will be included in the course. The infectious disease epidemics used as examples will be AIDS and TB. Chronic diseases will mainly focus on cardiovascular disease and methods to assist students in understanding the causal pathways from behavior to morbidity. Students will develop research proposals for identifying, understanding, and intervening on public health problems that are common in urban America. These written proposals, as well as midterm and final written exams, will prepare the students for Master's thesis and research. (didactic, lecture)
BIOE 829 Introduction to GIS for Use with Health-Related Data Tonny J. Oyana, PhD
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:2
BIOE 829 is a graduate-level course that provides an introduction to geographic information system (GIS) principles and concepts associated with GIScience (theoretical foundation), GIS technology (software training), and GIS health applications (real-world solutions). This course provides basic principles, concepts, and health applications of GIS in the context of GIScience?a basic research field which seeks to redefine geographic concepts and their use. The three basic areas of GIS are: (1) cognitive models of geographic concepts, (2) computational and implementations of geographic models, and (3) GIS and society. GIS draws from a wide range of disciplines, for example, computer science, statistics, geography, cartography, visualization, cognitive science, psychology, and mathematics. GIS is one of the largest leading-edge technologies that has evolved over the last five decades. The course will provide computer-based lab tutorials and practical exercises using the leading GIS software, ESRI's ArcGIS 10.x. It is primarily based on lectures, assignments, group tasks, and computer exercise. (didactic, lecture)
BIOE 839 Multiple Linear Regression Methods Betsy Tolley, Ph.D.
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
In this course, students will learn how multiple linear regression models are derived, use software to implement them, learn what assumptions underlie the models, learn how to test whether data meet those assumptions and what can be done when those assumptions are not met, and develop strategies for building and understanding useful models. (Hybrid: online and didactic) (hybrid, lecture)
BIOE 840-001 Special Topics - Independent Study Simonne Nouer
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:variable
Directed readings or special course in topics of current interest. (didactic, independent)
BIOE 842 Applied Survival Analysis Fridtjof Thomas, PhD
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
Survival analysis refers to the statistical approach to analyze the occurrence and timing of events. Students will gain familiarity with the characteristics of time-to-event data such as the presence of censoring and time-varying covariates, and will learn to master the necessary statistical methods and techniques to design and analyze studies with survival data, including the construction and interpretation of Kaplan-Meier estimates, the Cox proportional hazards model, and methods for life table analysis. This course also extends the standard Cox model by introducing time-varying covariates and stratification as a way of dealing with non-proportionality of hazards. The course utilizes the software SAS and especially its PROC LIFETEST and PROC PHREG functions. This course is taught in a SAS computer lab with hands-on exercises, and enrollment is limited to eight students with consent of instructor. (didactic, lecture)
BIOE 845 Biostatistics for Integrated Biomedical Sciences Quynh Tran
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:2
This course provides a basic introduction to the use of statistical techniques in biomedical research. The course will cover common descriptive statistics including the mean, median, and standard deviation, inferential statistics, and techniques for testing hypotheses, and will emphasize application of these concepts to case studies. This is an online course designed specifically for students enrolled in the IBS program, but is open to other students given permission from the course director. (online, lecture)
BIOE 846 Economics of Health and Health Care Teresa M. Waters, PhD
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:3
This course provides an introduction to concepts and methods of health economics. Students will be introduced to a range of microeconomic tools, such as demand and cost theory, and learn how to apply these tools to healthcare issues and problems. The goal of this course is to better understand the economic aspects of health and healthcare so that institutions and polices can be better designed to meet the needs of the population. The primary focus of this course will be issues facing the US healthcare system, but the tools learned and the issues discussed will have international applicability. (hybrid, lecture)
BIOE 847 Advanced SAS Programming Mehmet Kocak
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:1
This course provides advanced programming techniques in SAS,SQL and MACRO languages. The natural flow of the course is intended to start with an introduction to simple SQL programming using a single dataset followed by discussions on how to work with multiple datasets with common primary key variables. Upon completing the SQL component, a smooth transition is planned to simple MACRO programming in SAS, which will be gradually advanced to more efficient yet complicated MACRO programming. This class will be taught onsite in the SAS-laboratory in the Department of Preventive Medicine as the students will need SAS access for hands-on practice of exercises. (didactic, lab)
BIOE 848 Professional Experience and Prior Learning Assessment Simonne Nouer
Start date:2016-08-15End date:2016-12-16
Time: Place: Duration: Credit:variable
This course recognizes that work experience can provide valuable learning experiences that can complement learning acquired through formal education. This course offers an assessment of experiential learning, performed through the construction of a portfolio, that emphasizes the connection between learning from work experience, practice skills, continuing education, clinical investigatory knowledge, and its translational application to research. This course cannot be repeated. Variable credit 1-3 hours. (didactic, lecture)
Spring 2017 Course Offerings
BIOE 727 Principles of Epidemiology Simonne Nouer
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This online course, which is part of the Certificate in Clinical Research Program, introduces the basic principles and methods of epidemiology and demonstrates their applicability in the fields of public health and clinical research. Topics to be covered include the historical perspective of epidemiology, measures of disease occurrence and association, study design, disease screening, and causal inference. Study design content will cover experimental, cohort and case-control studies as well as challenges in design and analysis including bias, confounding and random error. Students will be expected to participate in discussion boards, complete weekly homework assignments, and take a mid-term and final exam. (online, lecture)
BIOE 740 Ethical and Legal Issues in Clinical Research Terrence Ackerman, PhD
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This course will examine ethical and legal principles and issues in clinical research, including attention to topics such as the Nuremberg Code, Belmont Report, federal standards for protection of human subjects, FDA guidelines for drug and device development, good clinical practice standards, and how these guidelines may be applied to the development, conduct, and reporting of clinical research. (online, lecture)
BIOE 800 Master's Thesis and Research Simonne Nouer
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  variable
Research performed under the direction and supervision of the respective student's Research Advisor, in partial fulfillment of the requirements for the degree of Master of Science. (didactic, research)
BIOE 801 Grant Writing for Behavioral Interventions Rebecca Krukowski
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This course will give students practical experience in preparing a R-series application to the National Institutes of Health that proposes a behavioral intervention. The course is intended as a basic introduction to grant writing for individuals with little or no grant writing experience. Topics covered will include determining appropriate funding mechanisms and basic components of a behavioral intervention grant proposal. Each class will include brief lectures, interactive exercises, and time for discussion. (didactic, lecture)
BIOE 804 Master's Project Simonne Nouer
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  variable
Students will work on their master?s project in conjunction with advisor and master?s committee. Research-based course. Credit variable (1-6) as assigned by instructor. (didactic, research)
BIOE 806 Using R for Biostatistics II Zoran Bursac, PhD, MPH
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  1
This course will introduce optional statistical software computing associated with topics discussed in Biostatistics II. The primary statistical software will be R. R is an extremely versatile and powerful statistical package that is becoming very popular among researchers in virtually every research realm. Topics will include but not limited to inputting data, calculation of descriptive statistics, statistical graphics, correlation, simple and multiple linear regression, general linear models, experimental designs, logistic regression, factorial analysis of variance and repeated measures. This course is designed to enrich computing skills. Simultaneous or past enrollment in Biostatistics for Health Sciences II is not required, but is highly recommended. Students should have a background in fundamental statistics. Students must provide their own notebook computer. (didactic, lecture)
BIOE 810 Independent Study Simonne Nouer
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  variable
An in-depth study of some aspect of epidemiology in which the student has special interest. Study is done independently with faculty approval and supervision. (didactic, independent)
BIOE 818 Mixed Linear Models in Epidemiology Tamekia Jones
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This course provides the advanced skills necessary for independent statistical analysis of epidemiologic and clinical data containing clustered observations and random effects. Topics to be covered include unrestricted and restricted maximum likelihood estimation, Akaike's information criterion, standard general linear models, linear random effects models, linear covariance pattern models, and linear random coefficient models. The course focuses on applications requiring flexible modeling of variance and covariance structures for clustered data when observations from a common cluster are correlated. The approaches covered in the course are particularly relevant for analysis of hierarchical and longitudinal data having Gaussian distributed error. (didactic, lecture)
BIOE 821 Biostatistics for the Health Sciences II Elizabeth Tolley
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  4
Second semester content pertains to methods of regression for observational and experimental data. Methods of analysis and hypothesis testing for three or more treatments are presented for various experimental designs and treatment combinations for normally distributed and ordinal data. Instruction includes helping the students attain mastery-level skill in programming with the SAS software system for statistical analysis of data. (online, lecture)
BIOE 822 Advanced Epidemiology Simonne Nouer
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  4
This course provides the foundation skills for independent analysis of epidemiologic data. Topics to be covered include the analysis of vital statistics data, statistical analysis of simple epidemiologic measures, identification and control of confounding in epidemiologic data, model building using epidemiologic data, logistic regression, and proportional hazards modeling. At the end of the semester, students will be able to analyze data from matched and unmatched case-control studies, case-cohort studies, and traditional cohort designs. The course includes a mandatory statistical computing laboratory. (online, lecture)
BIOE 823 Randomized Clinical Trials Mathilda Coday
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This course will allow the student to understand and analyze the many critical facets of the most precise design for clinical studies in humans: randomized clinical trials. Using a case-based approach, students will learn the importance of precise hypothesis description, selection of an at risk cohort for study, and the power of randomization in helping balance the study groups on a number of known and unknown confounding factors. Important issues with regard to subject recruitment, patient management, and data quality control will be emphasized. Students will learn to perform their own sample size calculations and use actual statistical packages to outline real clinical trial results data. (hybrid, lecture)
BIOE 824 Genetic Epidemiology: Methods and Applications Khyobeni Mozhui
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This course provides the concepts and methods of genetic epidemiology that are relevant to studying the causes of complex human diseases and the impact of human genetic variation on disease prevention and treatment. The course includes methods of population- and family-based studies of genotype-phenotype associations; statistical techniques related to segregation analysis; linkage analysis and transmission disequilibrium test (TDT); approaches for assessing gene-gene and/or gene-environment interaction; and procedures for evaluating ethical, legal, and social issues, and public health implications of research and interventions. Emphasis is placed on distinguishing the appropriate applications, underlying assumptions, and reasonable interpretations of the methods presented. (didactic, lecture)
BIOE 834 Epidemiology of Childhood Diseases Marion Hare, MD
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  2
This course will provide an overview of the epidemiology of selected conditions and diseases affecting children as well as demonstrate the childhood origins of some adult chronic disease. For most of these conditions, information about the pattern of occurrence, data about risk factors and effectiveness of various preventive or therapeutic interventions will be discussed. Public use sources of information such as the National Health and Examination Survey (NHANES), National Ambulatory Medical Care Survey (NAMCS), CDC "Pink Book", Child and Adolescent Health Measurement Initiative (CAHMI) and Youth Risk Behavior Surveillance System (YRBSS) will be introduced and discussed. Additionally, some of the unique and challenging aspects of research in pediatric epidemiology such as issues of childhood growth and development, maternal (intrauterine) origins of disease and parental role in disease diagnosis and treatment will be introduced. In the last weeks of the course, students will be asked to synthesize the information presented in the course by identifying, presenting and evaluating the available epidemiological information on a childhood disease or condition of their choice. (hybrid, lecture)
BIOE 838 Informatics Design for Clinical and Community Interventions Phyllis Richey
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This class will introduce students to a variety of analytic methods for health data using computational tools. The course covers topics in data mining, machine learning, classification, clustering, and scripting. Students will also engage in numerous hands-on exercises. (hybrid, lecture)
BIOE 840-001 Special Topics - Independent Study Simonne Nouer
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  variable 1-3
Directed readings or special course in topics of current interest. (didactic, independent)
BIOE 845 Biostatistics for Integrated Biomedical Sciences SĖaunak Sen
Start date:  2017-01-03    End date:  2017-06-30
Time:     Place:     Duration:  Credit:  2
This is a graduate course in statistics for graduate students in biomedical sciences. Students will be able to: critically evaluate the statistical methods section of scientific papers, effectively design experiments and observational studies, display quantitative information in tables and figures, perform basic statistical analysis of studies, and identify when to seek additional help. (didactic, lecture)
BIOE 847 Advanced SAS Programming Mehmet Kocak
Start date:  2017-01-03    End date:  2017-06-16
Time:  Mondays, 9 A.M.   Place:  Preventive Medicine, SAS Lab   Duration:  In-class meeting: 1 Hour per week for 10 weeks. Two-hour video lectures will be provided each week. Credit:  2
This course provides advanced programming techniques in SAS/SQL, MACRO languages, and SAS Graphics. The natural flow of the course is intended to start with an introduction to simple SQL programming using a single dataset followed by discussions on how to work with multiple datasets with common primary key variables. Upon completing the SQL component, a smooth transition is planned to simple MACRO programming in SAS, which will be gradually advanced to more efficient yet complicated MACRO programming. This class is taught in a hybrid setting where we will have onsite review lectures in the SAS-laboratory in the Department of Preventive Medicine, and the students will be required to have a laptop with SAS access where they will work on hands-on practice of exercises from SAS SQL and MACRO Programing as well as SAS Graphics. (hybrid, lecture lab)
BIOE 848 Professional Experience and Prior Learning Assessment Simonne Nouer
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  variable
This course recognizes that work experience can provide valuable learning experiences that can complement learning acquired through formal education. This course offers an assessment of experiential learning, performed through the construction of a portfolio, that emphasizes the connection between learning from work experience, practice skills, continuing education, clinical investigatory knowledge, and its translational application to research. This course cannot be repeated. Variable credit 1-3 hours. (didactic, clinical)
BIOE 849 Infectious Disease Epidemiology Afework Keskessa
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  3
This course is designed to understand the historical impact of infectious disease in society, and use epidemiologic principles and methods to study the modes of transmission, the incubation and infectious period of a disease and the relationship between the organism, host and surrounding environment; understand the prevention and the control of infectious disease, disease outbreak investigation and response. The student will be introduced to surveillance methods and techniques for collecting, organizing, and analyzing morbidity data. (hybrid, lecture)
BIOE 863 Spatial Analysis for Health Applications Tonny J. Oyana, PhD
Start date:  2017-01-03    End date:  2017-06-16
Time:     Place:     Duration:  Credit:  2
Spatial Analysis for Health Applications" is a graduate-level course that provides a review of key statistical methods for health applications. The course provides an overview and applications of spatial data analysis. The course draws from spatial statistical theories, and analytical and computational concepts to support the field of geographic information science. The main focus of this course is to explore how spatial techniques can be effectively applied in a GIS environment to study spatial patterns, distributions, and associations. (didactic, lecture)
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Phone: 901-448-5538