Double sampling with multiple imputation to answer large sample meta-research questions: Introduction and illustration by evaluating adherence to two simple CONSORT guidelines

Double sampling with multiple imputation to answer large sample meta-research questions: Introduction and illustration by evaluating adherence to two simple CONSORT guidelines

BACKGROUND: Meta-research can involve manual retrieval and evaluation of research, which is resource intensive. Creation of high throughput methods (e.g., search heuristics, crowdsourcing) has improved feasibility of large meta-research questions, but possibly at the cost of accuracy. OBJECTIVE: To...

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Bibliographic Details
Main Authors: Patrice L. Capers, Andrew W Brown, John eDawson, David B Allison
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-03-01
Series:Frontiers in Nutrition
Subjects:
modeling
adherence
CONSORT
Double sampling
Multiple imputation
Meta-research
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnut.2015.00006/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fnut.2015.00006/full

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