SUMMARY OF "TYPICAL" EVEN/ODD YEAR COURSES

List of Courses in the Division

Other Courses in the Department or University Available to Students

Courses offered for Fall quarter 2000 by division of Epi & Biostat

Announcement of new courses

Academic Year 1999 / 2001

Academic Year 2000 / 2002

xx-xxx-xxx Electives/Research

x-xxx-xxx Electives/Research

xx-xxx-xxx Electives/Research

xx-xxx-xxx Electives/Research

xx-xxx-xxx Electives/Research

26-BE-791 Thesis Research 10-15

Consultation 2-3

Course

Cr

Description

1

The course consists of weekly seminars and discussion sessions given by distinguished speakers in all areas of Environmental Health. All students registered full-time must register for the seminar. Five individually written reports on five of the seminars per quarter are required for one year by the Master=s students and two years for the Ph.D. students

Epidemiology and Biostatistics Seminar &26-BE-828/829/830

1

In this weekly seminar, the members of the faculty and the students present their research in an informal, brown-bag luncheon.

26-GNTD-730

1

This is a seminar that discusses the ethical issues in clinical research. The grading is P/F based upon attendance

26-BE-787

4

The course covers descriptive statistics, probability distributions, estimation, types of error, significance level, hypothesis tests, sample size, correlation, linear regression, non-parametric methods

3

The course introduces methodology for studies of disease in human populations. Topics that are covered are chronic disease, infectious disease, and occupational and environmental epidemiology. Sources, collection, handling, and interpretation of health data are also discussed

26-BE-778

2

This course includes instruction in basic SAS and application in biostatistical analysis

4

The course covers the following topics: linear regression, least squares, elementary matrix operation, multiple regression models, correlation analysis, and introductory analysis of variance

26-BE-975

3

Opportunity to acquire knowledge and skills both in formulating research methods from a research question, writing a research proposal or grant application, designing questionnaires, the art of presenting results and evaluating research

Epidemiology of Infectious Diseases 26-BE-784

2

The course covers the epidemiologic, serologic, and public health aspects of modern infectious diseases, their transmission, and methods of control

26-BE-842

3

Neuroepidemiology is the investigation of the distribution and dynamics of neurological disease in free ranging human populations. This course explores the scope and methods of neuroepidemiology

26-BE-897

3

An introduction to epidemiology of the major cardiovascular diseases with a focus on risk factors

26-BE-789

4

The course introduces the appl. of the randomized block, Latin square, and factorial designs for scientific experimentation, including confounding, fractional factorial. It also covers fixed, random, and mixed designs.

3

A general overview of known associations of environmental and occupational factors with various types of cancer; includes discussion of types of studies that give rise to associations and causation.

3

This course covers the statistical methods for analyzing discrete categorical and qualitative data. In particular, the tests studied are the chi-square test, Mantel-Haenszel Test, McNemar=s Test, PMR, and SMR

3

The course introduces the following sampling techniques: simple random, stratified, cluster, systematic, multistage, ratio, regression sampling techniques. It also provides information on the management of costs

3

The class introduces the nonparametric and parametric methods of estimating and comparing survival functions for mortality studies. Methods investigated are kaplan-Meir, Weibull, exponential model, and Cox Regression

3

The class introduces the extension of the use of univariate tests in normal populations to the multivariate case with a review of matrix algebra, Hotellings T, Wilks Lambda, and Discriminant Analysis

26-BE-777

3

The course introduces methods of performing ANOVA on data that have missing values. Techniques discussed include: quick approximate methods, exact methods, and reliable computer programs

3

The course covers estimation and hypothesis testing with minimal assumptions. Some methods discussed are the study of rank tests and other distribution free statistics

26-BE-869

3

(need description)

26-BE-874

2

Study of historical works in epidemiology including Snow, Panum, Goldenberg, and comparison with recent epidemiologic research

26-BE-804/805/806

3

This course provides a practicum experience

26-BE-871

4

Analysis of discrete data using log-linear and logistic models, including interpretation of coefficients and model-building strategies. Familiarity with SAS software, though examples will be emphasized.

26-BE-971

3

The course covers how biomarkers can be used in epidemiologic research; scientific, technical and ethical issues in the use of biomarkers and a range of applications for the use of biomarkers in the study of various diseases.

26-BE-870

2

This course will introduce the students to the importance of a global approach to understand differences in the practice of environmental epidemiology in other countries as influenced by available resources, and in differing political and ethical contexts.

26-BE-968

2

This discussion seminar is directed to doctoral level students in epidemiology, biostatistics and related disciplines. It is intended to deepen on the previously learned concepts of design and analysis of epidemiologic studies.

 Intermediate Analysis of Variance, 3 gr. cr.,
       Professor: Drs. Gartside & Succop
       Tuesday and Thursday, 10:30-11:45am, Rm. 121 Kett
       Optional Texts:  SAS System for Linear Models, 3^rd Ed., SAS Institute
                                SAS System for Mixed Models, SAS Institute

 Introduction to SAS Programming, 2 gr. cr.
       Wed. 4:00 – 6:00pm, Health Sciences Library Electronic Room
       Text:  Applied Statistics and the SAS Programming Language
                  by Ron Cody & Jeff Smith, 4^th ed.
       Instructors:  Khoury & Freyberg        

  Introduction to Biostatistics, 4 gr. cr.
       Professor: Dr. Buncher
       Monday 1:00-2:00pm, Wednesday 1:00-3:00pm, Kehoe Aud.
       Optional Lab Wednesday 3:10-5:00pm, Rm. 108 Kett
       Text:  Biostatistics:  A foundation for analysis in the health sciences,
                                     by Daniel, 7^th Ed

   Rates and Proportions, 3 gr. cr.
       Professor:  Dr. G. Sethuraman
       Time:  Tuesday and Thursday 2:00 – 3:15pm, Rm. 121 Kett
       Text:  Statistical Methods for Rates and Proportions by Joseph Fleiss;
                John Wiley & Sons, NY

   Applied Multivariate Analysis, 3 gr. cr.
       Professor: Dr. Succop
       Time: Monday & Wednesday, 2:00 – 3:30pm, Rm. 121 Kett
       Text:   Applied Multivariate Statistical Analysis 
                  by R Johnson & D.Wichern

   Epidemiology and Biostatistics Consultation, Variable Credits
       Dr. Shukla (Permission of Instructor)
       Text:  The Human Side of Statistical Consulting  by Boen and Zahn

   Epidemiology and Biostatistics Seminar, 1 gr. cr.,
      Professor:  Dr. Succop
      Thursday 12:05-12:55 PM, Rm. 121 Kett

   Special Topics: Intermediate Epidemiology
           Global Environmental Epidemiology, 2 gr. cr.
       Professor: Dr. Bornschein
       Monday 9:00 - 11:30am, Rm. 121 Kett