A framework for identifying treatment‐covariate interactions in individual participant data network meta‐analysis

Background: Stratified medicine seeks to identify patients most likely to respond to treatment. Individual participant data (IPD) network meta‐analysis (NMA) models have greater power than individual trials to identify treatment‐covariate interactions (TCIs). Treatment‐covariate interactions contain...

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Bibliographic Details
Published in:	Research synthesis methods Vol. 9; no. 3; pp. 393 - 407
Main Authors:	Freeman, S. C., Fisher, D., Tierney, J. F., Carpenter, J. R.
Format:	Journal Article
Language:	English
Published:	England Wiley-Blackwell 01-09-2018 Wiley Subscription Services, Inc John Wiley and Sons Inc
Subjects:	Bias Cancer Cervical cancer Comparative Analysis Consistency Data analysis Data Interpretation, Statistical Evidence Female Females framework Guidelines Humans Interaction models IPD Medical Research Meta Analysis Models, Statistical Network Analysis Network Meta-Analysis Networks Outcomes of Treatment Patients Randomized Controlled Trials as Topic Reproducibility of Results Research Design Research Problems Risk Treatment Outcome treatment‐covariate interaction Uterine Cervical Neoplasms - drug therapy Uterine Cervical Neoplasms - radiotherapy treatment-covariate interaction framework IPD network meta-analysis
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