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Reference: Mansournia, MA and Altman, DG, (2016). Inverse probability weighting. BMJ (Clinical research ed.), 352, i189.Citable link to this page:

 

Inverse probability weighting.

Abstract: Statistical analysis usually treats all observations as equally important. In some circumstances, however, it is appropriate to vary the weight given to different observations. Well-known examples are in meta-analysis, where the inverse-variance (precision) weight given to each contributing study varies, and in the analysis of clustered data.

Peer Review status:Peer reviewedPublication status:PublishedVersion:Publisher's versionNotes:All research papers in The BMJ are published with open access. The BMJ's default licence for open access publication of research is the Creative Commons Attribution Non Commercial licence (CC BY-NC 4.0).

Bibliographic Details

Publisher: BMJ Publishing Group

Publisher Website: http://www.bmj.com/

Journal: BMJ (Clinical research ed.)see more from them

Publication Website: http://www.bmj.com/thebmj

Issue Date: 2016-01

Article Number:ARTN i189

pages:i189Identifiers

Urn: uuid:d32dd627-9db4-42a1-9e26-edbec74ad81f

Source identifier: 598209

Eissn: 1756-1833

Doi: https://doi.org/10.1136/bmj.i189

Issn: 0959-8138 Item Description

Type: Journal article;

Language: eng

Version: Publisher's version Tiny URL: pubs:598209

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Autor: Mansournia, MA - - - Altman, DG - institutionUniversity of Oxford Oxford, MSD, NDORMS, CSM - - - - Bibliographic Details Publishe

Fuente: https://ora.ox.ac.uk/objects/uuid:d32dd627-9db4-42a1-9e26-edbec74ad81f



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