Dear DCP students and demography-oriented students,

The following new course in the fall semester seems useful for demographic research. Although the course is offered as a course in the epidemiology program, it will cover some advanced application-oriented statistical techniques that are useful in quantitative social science research.

It is a GC course (Public Health) and also a Hunter course (MPH program). I suppose GC students can register for it straightforwardly  and other CUNY-school graduate students may need e-permit from Hunter. The pre-requisites seem to have been set up,  having EPI MPH students in mind, and I think instructor permission could be expected to students with some multivariate analysis background.

It is not counted as DCP elective, but for demography-oriented students (and quantitatively-oriented social-science students in general), the course may be worth considering for the next semester schedule.

Shiro


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Shiro Horiuchi, Ph.D. 
Professor, MPH Program in Epidemiology and Biostatistics CUNY School of Public Health at Hunter College The City University of New York

Coordinator, Certificate Program in Demography CUNY Graduate Center

Faculty Associate
CUNY Institute for Demographic Research

MAIL ADDRESS:
Hunter College
425 East 25th Street, Box 816
New York, NY 10010-2590
http://shiro_horiuchi.homestead.com/homepage.html
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The CUNY School of Public Health
Hunter College

Making the most of your data with R
 
 
Course description
With ever increasing computational resources available, techniques in common use to analyze epidemiologic data are becoming increasingly rigorous. This course will cover techniques for enhancing the presentation and interpretation of your data through practical workshops where you will use R to solve typical problems with real data. The main areas of focus will be selecting the best model for your research question, how to handle missing data, how to do simple modeling of growth, how to do simple dynamic modeling (e.g., SIR models) and how to make your findings look enticing with ‘easy-to-use’ graphics. Readings will address the conceptual problems involved and provide suggestions for optimizing your analytic strategy, the presentation of your results and the most effective description of your analysis. 
 
Course meets: 
Tuesdays, 6:30 – 8:30pm            Graduate Center
 
Instructor:
C Mary Schooling, PhD
Associate Professor
E-mail:                 [log in to unmask]
Tel:                                 212-481-7593
Office Hours:    Monday 5:30 to 7:30pm
 
Required Reading
1)                 Journal articles provided on Black Board
2)                 A Handbook of Statistical Analyses Using R, Second Edition by Brian S. Everitt and Torsten Hothorn
 
Pre-requisites
Epi 751 (Applied Epidemiologc Methods II), Bios751 (Applied methods in Biostatistics II) or instructor permission

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