In this week’s Brief, we look at the coronavirus, and the problem of estimating prevalence and mortality. Our course spotlight is
- 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)
See you in class!
– Peter Bruce
Founder, Author, and Senior Scientist
Coronavirus – in Search of the Elusive Denominator
What’s the ultimate impact of coronavirus? Is it Italy’s 7% death rate, coupled with Angela Merkel’s estimate that 80% of the population will get the disease? Let’s unpack the numbers with some useful data from the Diamond Princess, and […]
Word of the Week
Standardized Death Rates
IStandardization of death rates allows the death rate in a study population to be applied to a different population where the age distribution differs. Here’s how it works […]
Nov 8 – Dec 6: Epidemiologic Statistics
(We’re adding a spring session – email us to be notified when registration opens at email@example.com)
- 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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