A novel approach for identifying and addressing case-mix heterogeneity in individual participant data meta-analysis.
Adolescent
Clinical Trials as Topic
Comparative Effectiveness Research
Computer Simulation
Diagnosis-Related Groups
Dietary Supplements
Humans
Male
Meta-Analysis as Topic
Observational Studies as Topic
Outcome Assessment, Health Care
Predictive Value of Tests
Probability
Prognosis
Randomized Controlled Trials as Topic
Regression Analysis
Research Design
Respiratory Tract Infections
/ therapy
Treatment Outcome
Vitamin D
/ therapeutic use
Young Adult
causal inference
direct standardization
inverse probability weighting
meta-analysis
outcome regression
transportability
Journal
Research synthesis methods
ISSN: 1759-2887
Titre abrégé: Res Synth Methods
Pays: England
ID NLM: 101543738
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
28
04
2018
revised:
02
10
2019
accepted:
06
10
2019
pubmed:
5
11
2019
medline:
11
7
2020
entrez:
5
11
2019
Statut:
ppublish
Résumé
Case-mix heterogeneity across studies complicates meta-analyses. As a result of this, treatments that are equally effective on patient subgroups may appear to have different effectiveness on patient populations with different case mix. It is therefore important that meta-analyses be explicit for what patient population they describe the treatment effect. To achieve this, we develop a new approach for meta-analysis of randomized clinical trials, which use individual patient data (IPD) from all trials to infer the treatment effect for the patient population in a given trial, based on direct standardization using either outcome regression (OCR) or inverse probability weighting (IPW). Accompanying random-effect meta-analysis models are developed. The new approach enables disentangling heterogeneity due to case mix from that due to beyond case-mix reasons.
Identifiants
pubmed: 31682071
doi: 10.1002/jrsm.1382
pmc: PMC6973268
doi:
Substances chimiques
Vitamin D
1406-16-2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
582-596Informations de copyright
© 2019 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd.
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