The design-by-treatment interaction model: a unifying framework for modelling loop inconsistency in network meta-analysis

Research Synthesis Methods

Volumn 7, Issue 3, 2016, Pages 329-332

  Jackson, Dan ^a   Boddington, Paul ^a   White, Ian R ^a  

^a MEDICAL RESEARCH COUNCIL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CLINICAL TRIAL (TOPIC); HUMAN; METHODOLOGY; NETWORK META-ANALYSIS; REPRODUCIBILITY; STATISTICS;

ALGORITHMS; CLINICAL TRIALS AS TOPIC; HUMANS; NETWORK META-ANALYSIS; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; STATISTICS AS TOPIC;

EID: 84995743431     PISSN: None     EISSN: 17592887     Source Type: Journal    
DOI: 10.1002/jrsm.1188     Document Type: Note

References (5)

1. Higgins JPT, Jackson D, Barrett JK, Lu G, Ades AE, White IR. 2012. Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies. Research Synthesis Methods 3: 98–110.
2. Jackson D, Barrett JK, Rice S, White IR, Higgins JPT. 2014. A design-by-treatment interaction model for network meta-analysis with random inconsistency effects. Statistics in Medicine 33: 3639–3654.
3. Lu G, Ades AE. 2006. Assessing evidence inconsistency in mixed treatment comparisons. Journal of the Americal Statistical Association 101: 447–459.
4. Salanti G. 2012. Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Research Synthesis Methods 3: 80–97.
5. White IR, Barrett JK, Jackson D, Higgins JPT. 2012. Consistency and inconsistency in network meta-analysis: model estimation using multivariate meta-regression. Research Synthesis Methods 3: 111–125.