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Use of Prediction Intervals in Network Meta-analysis

This cross-sectional study examines the prevalence of reporting prediction intervals in network meta-analysis articles and provides a worked example.

Detalles Bibliográficos
Autor principal: Lin, Lifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707007/
https://www.ncbi.nlm.nih.gov/pubmed/31433478
http://dx.doi.org/10.1001/jamanetworkopen.2019.9735
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author Lin, Lifeng
author_facet Lin, Lifeng
author_sort Lin, Lifeng
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description This cross-sectional study examines the prevalence of reporting prediction intervals in network meta-analysis articles and provides a worked example.
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spelling pubmed-67070072019-09-06 Use of Prediction Intervals in Network Meta-analysis Lin, Lifeng JAMA Netw Open Research Letter This cross-sectional study examines the prevalence of reporting prediction intervals in network meta-analysis articles and provides a worked example. American Medical Association 2019-08-21 /pmc/articles/PMC6707007/ /pubmed/31433478 http://dx.doi.org/10.1001/jamanetworkopen.2019.9735 Text en Copyright 2019 Lin L. JAMA Network Open. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Research Letter
Lin, Lifeng
Use of Prediction Intervals in Network Meta-analysis
title Use of Prediction Intervals in Network Meta-analysis
title_full Use of Prediction Intervals in Network Meta-analysis
title_fullStr Use of Prediction Intervals in Network Meta-analysis
title_full_unstemmed Use of Prediction Intervals in Network Meta-analysis
title_short Use of Prediction Intervals in Network Meta-analysis
title_sort use of prediction intervals in network meta-analysis
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707007/
https://www.ncbi.nlm.nih.gov/pubmed/31433478
http://dx.doi.org/10.1001/jamanetworkopen.2019.9735
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