In this week’s Brief, we look again at the statistics of Coronavirus. We also spotlight our Health Analytics Mastery – a 3-course series in which you can choose from among
- Biostatistics 1 and 2
- Designing Valid Statistical Studies
- Epidemiologic Statistics *
- Introduction to Statistical Issues in Clinical Trials
You can start July 1 with Biostatistics 1. Or, if you are already familiar with basic biostatistics you can start right in with Biostatistics 2 (study designs, relative risk and odds ratios, ROC curves, and survival analysis)
*we’re adding a spring session – email us to be notified when registration opens at email@example.com
See you in class!
Founder, Author, and Senior Scientist
There are many moving parts in modeling the spread of an epidemic, a subject that has lately attracted the attention of great numbers of statistically-oriented non-epidemiologists (like me). I’ve put together a “lay statistician’s guide” to some of the important parameters and factors (and I welcome corrections/ additions!) […]
Nov 8 – Dec 6: Epidemiologic Statistics
(We’re adding a spring session – email us to be notified when registration opens at firstname.lastname@example.org)
- Distinguish between observational, cross-sectional and case-control designs
- Calculate relevant disease metrics
- Calculate metrics for measuring the impact of treatment
- Describe the issues involved in controlling for extraneous factors
Your instructor is Dr. Eli Rosenberg, Professor of Epidemiology at the SUNY Albany School of Public Health. His federally-funded research program focuses on the conduct of epidemiologic studies of HIV prevention and HIV surveillance in the United States. The course developer is Dr. David Kleinbaum, Professor of Epidemiology at the Rollins School of Public Health at Emory University, and internationally known for his textbooks in statistical and epidemiologic methods.
See you in class!
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