Open AccessCrowdsourced Health Data: Comparability to a US National Survey, 2013–2015
Author(s) -
Veronica Yank,
Sanjhavi Agarwal,
Pooja Loftus,
Steven M. Asch,
David H. Rehkopf
Publication year - 2017
Publication title -
american journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.284
H-Index - 264
eISSN - 1541-0048
pISSN - 0090-0036
DOI - 10.2105/ajph.2017.303824
Subject(s) - generalizability theory , comparability , ethnic group , behavioral risk factor surveillance system , medicine , logistic regression , gerontology , national health interview survey , public health , educational attainment , population , demography , national health and nutrition examination survey , environmental health , psychology , developmental psychology , mathematics , nursing , combinatorics , sociology , anthropology , economics , economic growth
To determine the generalizability of crowdsourced, electronic health data from self-selected individuals using a national survey as a reference.