Epidemiology And Biostatistics An Introduction ...

This course covers basic epidemiology principles, concepts, and procedures useful in the surveillance and investigation of health-related states or events. It is designed for federal, state, and local government health professionals and private sector health professionals who are responsible for disease surveillance or investigation. A basic understanding of the practices of public health and biostatistics is recommended.

This is a concise introduction to epidemiology and biostatistics written specifically for medical students and first-time learners of clinical research methods. It presents the core concepts of epidemiology and of biostatistics and illustrates them with extensive examples from the clinical literature. It is the only book on the market written to speak directly to medical students and first-time biomedical researchers by using language and examples that are easy to understand.

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Epidemiology is the branch of medicine that focuses on the study of how diseases are transmitted in a specific population, with the ultimate goal of utilizing the obtained data to plan and execute successful public health interventions. To understand the data generated by studies, epidemiology uses the science of biostatistics, which is the branch of statistics that focuses on the collection, analysis, and interpretation of data derived from living organisms (human beings in this case).

In this course, the student will be introduced to the history of epidemiology and its terminology and will be given an overview of the different types of study designs.

For optimal understanding, the student is required to be familiar with the basics of arithmetic and algebra. Moreover, an open mind and patience are highly encouraged, as some concepts require a certain level of abstraction, whereas others may have to be rewatched to better grasp the topic.

Dr. Deonandan is great! I found my epidemiology lectures really difficult to focus upon, but he makes it interesting. I thought his summaries were great, as well as his simple and straightforward explanations -- with examples!

It made epidemiology very easy to understand, remember and apply it to my practice. It helped me a lot in appraising available evidence and use it in making appropriate and prudent clinical decisions in taking care of my patients .

The course introduces classical statistical concepts and methods with emphasis on methods used in epidemiology and public health. Topics covered include: the importance of statistical thinking; types of data (nominal, binary, discrete and continuous variables); data summary measures; contingency tables; graphical representations; notions of probability; probability models (distributions); principles of statistical inference; parameter estimation (mean, proportion (prevalence), incidence and ratios); concepts of confidence intervals and hypothesis tests; and a general introduction to correlation and linear regression models.

Epidemiology is the basic medical science that focuses on the distribution and determinants of disease frequency in human populations. An understanding of the tools of epidemiology is helpful in defining the limitations of medical research and evaluating the conclusions of studies. This is the first in a series of three articles whose objective will be to present the basic concepts of epidemiology and biostatistics. Examples of each of the tools and limitations discussed from studies of patients with end-stage renal disease (ESRD) will be presented to provide the reader with a practical application of the concepts. This series of articles will help the reader to weigh methods and study designs to understand the appropriate conclusions that may be drawn from any data.

STAT 6300 - Introduction to Epidemiology and Biostatistics

This course serves as an introduction to epidemiology and biostatistics. The epidemiology portion of this course is intended to introduce students to epidemiology and its application to public health research and practice. It provides a conceptual foundation for further study of epidemiology; especially study design, quantitative concepts and methods, analysis, and interpretation. The biostatistics portion of this course offers an introduction to the basic statistical techniques used to analyze and interpret data in the biomedical, health sciences and related fields. Emphasis is on applications of these methods, with probability, discrete and continuous distribution, inferential statistics (estimation and hypothesis testing) for numeric and categorical data, non-parametric methods, analysis of variance, regression, and correlation topics covered.

Grade Mode: Normal, Audit

Credit Hours: 3

Lecture Hours: 3

Level Restrictions: Graduate Semester

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This is a three credit hour course designed to provide students with an introduction to various epidemiological and biostatistical methods used in public health practice and research, with an emphasis on application of appropriate methods and interpretation of results. Examples and problems from public health settings will be included. Topics covered include methods of summarizing data and estimation and hypothesis testing techniques, including the t-test, the chi-square test, the analysis of variance, correlation analysis, and linear regression.

HEDU 3720 - Introduction to Epidemiology & Biostatistics (3) Prerequisites: HEDU 2000 , HEDU 2100 , HEDU 2200 , HEDU 2400 , and MATH 1110 or with permission of the instructor. This course focuses on epidemiological principles and methods such as describing the patterns of illness in populations and research designs for investigating disease. Quantitative measures to determine risk and association are introduced. Within this context, concepts, basic principles, and tools of epidemiology and biostatistics are studied with an emphasis on application to health education programs. (Two lecture and two laboratory hours per week).

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This course is designed to introduce students to basic concepts of epidemiology and biostatistics. Selected sections from textbooks and recent primary literature are used. Students learn how to critically read published epidemiological studies and understand the study design, analyses, and conclusions drawn from the studies. There is a substantial hands-on component in which students learn basic R statistical programming, using the National Health and Nutrition Examination Survey (NHANES) dataset primarily, to make discoveries.

Core course for the HSSP major and minor.

Provides an orientation to the science of epidemiology, the quantitative foundation for public health policy. As a comprehensive survey course, students from varying academic backgrounds are introduced to biostatistics and major epidemiological concepts, and provided with training in their application to the study of health and disease in human populations. Case studies examine how environmental, physical, behavioral, psychological, and social factors contribute to the disease burden of populations. Usually offered every year.

Ms. Wittenberg and Staff

Epidemiology is the study of the distribution and determinants of disease in human populations, and the risk factors associated with diseases. This course provides an introduction to epidemiology and the associated biostatistical methods that constitute the principal quantitative methods for disease prevention. Topics include: measures of disease frequency, measures of central tendency and spread, rates and risks, precision and validity, bias, simple linear regression, and the important study designs (population surveys, cohort, case-control and cross-sectional studies).

Epidemiology and biostatistics are the quantitative sciences of public health, investigating causes and prevention of disease and injury and assessing patterns of health in populations around the globe. This 16-credit certificate provides training in design, statistical programming, data analysis, and valid interpretation of experimental (e.g., clinical) trials and observational studies. Students will gain knowledge and skills in the methods required to conduct and communicate public health research.

This handbook serves as a reference manual for the masters and doctoral programs in biostatistics and the doctoral program in epidemiology at the University of Pennsylvania. It covers the graduate experience, from admission through required course work, examinations, and the MS thesis (biostatistics), and PhD dissertation in both programs. This is a living document; please bring errors and omissions to the attention of the Chair of the Graduate Group in Epidemiology and Biostatistics, or to the Chairs of the respective programs.

Many have contributed in ways large and small to this handbook, not least the students in the doctoral program, whose many relevant questions and experiences have led us to review our policies, consider their implications, and write them down clearly. We thank them especially and wish them the best in all their endeavors, at Penn and beyond.

The Graduate Group in Epidemiology and Biostatistics (GGEB) is responsible for developing and administering the PhD degree programs in epidemiology and biostatistics as well as the MS program in biostatistics. The PhD programs train individuals to be rigorous and independent academic investigators, who are able to apply and extend the range of approaches available in epidemiology and biostatistics to address questions in biomedical research. The objective of the MS program in biostatistics is to train individuals in the basic theory and applications of statistical methods, especially as applied to problems in the health sciences.

The GGEB is a member of the Biomedical Graduate Studies Program (BGS) in the Perelman School of Medicine of the University of Pennsylvania. It is comprised of faculty from across the university with interests in biostatistics and epidemiology. Notably, many of the members of the Graduate Group have academic appointments within the Department of Biostatistics, Epidemiology and Informatics (DBEI). The Office of Biomedical Graduate Studies provides oversight and coordination for the GGEB and six other graduate groups offering PhD degrees in the biomedical sciences.

Biomedical Graduate Studies (BGS) was established in 1985 and serves as the academic home within the University of Pennsylvania for roughly 700 students pursuing a PhD in the basic biomedical sciences. Although BGS is housed within the School of Medicine, it is composed of more than 600 faculty members across seven Penn schools and several associated institutes. BGS provides training and administration through seven graduate groups, some of which have distinct sub-specialty areas. Each graduate group has its own training mission, leadership, and staff, but there is often significant overlap among the groups in respect to faculty membership, courses offered, policies, and procedures. BGS provides centralized support to the graduate groups for admissions, student fellowships, curricular oversight, record-keeping, and other operations.

Additional, up-to-date information about BGS is available at

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