Two new methods to fit models for network meta-analysis with random inconsistency effects

BMC Medical Research Methodology

Volumn 16, Issue 1, 2016, Pages

  Law, Martin ^a   Jackson, Dan ^a   Turner, Rebecca ^a   Rhodes, Kirsty ^a   Viechtbauer, Wolfgang ^a  

^a MRC BIOSTATISTICS UNIT   (United Kingdom)

Author keywords

Importance sampling; Informative priors; Network meta analysis; Random inconsistency effects

Indexed keywords

ANTIINFECTIVE AGENT;

ALGORITHM; BAYES THEOREM; HUMAN; MALE; MARKOV CHAIN; MONTE CARLO METHOD; NETWORK META-ANALYSIS; PROSTATIC NEOPLASMS; STATISTICAL MODEL; THEORETICAL MODEL; TREATMENT OUTCOME;

ALGORITHMS; ANTI-BACTERIAL AGENTS; BAYES THEOREM; HUMANS; LIKELIHOOD FUNCTIONS; MALE; MARKOV CHAINS; MODELS, THEORETICAL; MONTE CARLO METHOD; NETWORK META-ANALYSIS; PROSTATIC NEOPLASMS; TREATMENT OUTCOME;

EID: 84979680261     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/s12874-016-0184-5     Document Type: Article

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