Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available

Ideally, questions about comparative effectiveness or safety would be answered using an appropriately designed and conducted randomized experiment. When we cannot conduct a randomized experiment, we analyze observational data. Causal inference from large observational databases (big data) can be vie...

Full description

Saved in:

Bibliographic Details
Published in:	American journal of epidemiology Vol. 183; no. 8; p. 758
Main Authors:	Hernán, Miguel A, Robins, James M
Format:	Journal Article
Language:	English
Published:	United States 15.04.2016
Subjects:	Breast Neoplasms - epidemiology Breast Neoplasms - etiology Causality Comparative Effectiveness Research - methods Comparative Effectiveness Research - standards Databases, Factual - statistics & numerical data Drug Therapy, Combination Estrogen Replacement Therapy - adverse effects Estrogen Replacement Therapy - statistics & numerical data Female Humans Observational Studies as Topic - methods Observational Studies as Topic - standards Postmenopause Progestins - adverse effects Progestins - therapeutic use Propensity Score Randomized Controlled Trials as Topic - methods Randomized Controlled Trials as Topic - standards comparative effectiveness research big data causal inference target trial
ISSN:	1476-6256, 1476-6256
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!