The unknown denominator problem in population studies of disease frequency-Reference-Cited by-同舟云学术

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The unknown denominator problem in population studies of disease frequency

Published:2020-11 Issue: Volume:35 Page:100361
ISSN:1877-5845
Container-title:Spatial and Spatio-temporal Epidemiology
language:en
Short-container-title:Spatial and Spatio-temporal Epidemiology

Author:

Morrison Christopher N.,Rundle Andrew G.,Branas Charles C.,Chihuri Stanford,Mehranbod Christina,Li Guohua

Funder

National Institutes of Health

National Institute on Alcohol Abuse and Alcoholism

Centers for Disease Control and Prevention

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Infectious Diseases,Geography, Planning and Development,Epidemiology

Reference64 articles.

1. How (not) to lie with spatial statistics;Anselin;Am. J. Prev. Med.,2006

2. Using the longitudinal structure of earnings to estimate the effect of training programs;Ashenfelter;Rev. Econ. Stat.,1985

3. The denominator in general practice, a new approach from the Intego database;Bartholomeeusen;Fam. Pract.,2005

4. On conditional and intrinsic autoregressions;Besag;Biometrika,1995

5. Spatial panel-data models using Stata;Belotti;Stata J.,2017

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1. Defining Spatial Epidemiology: A Systematic Review and Re-orientation;Epidemiology;2024-06-24

2. Overcoming denominator problems in refugee settings with fragmented electronic records for health and immigration data: a prediction-based approach;BMC Medical Research Methodology;2024-04-01

3. Applying a zero-corrected, gravity model estimator reduces bias due to heterogeneity in healthcare utilization in community-scale, passive surveillance datasets of endemic diseases;Scientific Reports;2023-12-02

4. Overcoming denominator problems in refugee settings with fragmented electronic records for health and immigration data: a prediction-based approach;2023-07-25

5. The Zero-Corrected, Gravity-Model Estimator (ZERO-G): A novel method to create high-quality, continuous incidence estimates at the community-scale from passive surveillance data;2023-03-20

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