This paper is in the following e-collection/theme issue:

Statistical Methods for Surveillance and Population Health (158) Policy (61) Policy and Policy Proposals (127) Public Health Policy (62) E-Health Policy and Health Systems Innovation (242) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (847)

Published on in Vol 8, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37887, first published .
The Impact of Nonrandom Missingness in Surveillance Data for Population-Level Summaries: Simulation Study

The Impact of Nonrandom Missingness in Surveillance Data for Population-Level Summaries: Simulation Study

The Impact of Nonrandom Missingness in Surveillance Data for Population-Level Summaries: Simulation Study

Authors of this article:

Paul Samuel Weiss1 Author Orcid Image ;   Lance Allyn Waller1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Pham H, Do T, Baek J, Nguyen C, Pham Q, Nguyen H, Goldberg R, Pham Q, Giang L. Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data Analysis. JMIR Public Health and Surveillance 2024;10:e53719 View