Emily T Martin
Biographic Data
| ID | 6069732 |
|---|---|
| NAME | Emily T Martin |
| GIVEN NAMES | Emily T |
| FAMILY NAME | Martin |
| SIGNATURE | MARTIN E T |
| AFFILIATIONS | Peter DeJonge, Emily T. Martin, and Michael Hayashi are with the Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor. Sarah Johnson is with the University of Kansas School of Medicine, Wichita. Andrew N. Hashikawa is with the Department of Emergency Medicine, Michigan Medicine, Ann Arbor. |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Differences between Frequentist and Bayesian inference in routine surveillance for influenza vaccine effectiveness
Bayesian estimates of influenza VE can differ from frequentist estimates to a clinically meaningful degree when VE diverges substantially from previous seasons
Communicable Disease Outbreaks in Michigan Child Care Centers Compared With State and Regional Epidemics, 2014–2017
The Michigan Child Care Related Infections Surveillance Program (MCRISP) is a novel, online illness surveillance system used by a collection of southeast Michigan child care centers. Recently established, MCRISP has not been assessed epidemiologically. We created MCRISP epidemic curves for both respiratory and gastrointestinal disease over three seasons, comparing these to data from an established statewide surveillance system. Results suggest th…
No prominent works on this page.
Communicable Disease Outbreaks in Michigan Child Care Centers Compared With State and Regional Epidemics, 2014–2017
The Michigan Child Care Related Infections Surveillance Program (MCRISP) is a novel, online illness surveillance system used by a collection of southeast Michigan child care centers. Recently established, MCRISP has not been assessed epidemiologically. We created MCRISP epidemic curves for both respiratory and gastrointestinal disease over three seasons, comparing these to data from an established statewide surveillance system. Results suggest th…
Differences between Frequentist and Bayesian inference in routine surveillance for influenza vaccine effectiveness
Bayesian estimates of influenza VE can differ from frequentist estimates to a clinically meaningful degree when VE diverges substantially from previous seasons
Medicine (2 works) · Respiratory viral infections research (2 works) · Bayesian inference (1 works) · Bayesian probability (1 works) · Child care (1 works) · Communicable disease (1 works) · Credible interval (1 works) · Demography (1 works) · Demography (1 works) · Disease (1 works)