Borrowing of strength and study weights in multivariate and network meta-analysis
| Autor: | Ian R. White, Malcolm J Price, John B. Copas, Dan Jackson, Richard D Riley |
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| Rok vydání: | 2015 |
| Předmět: |
Statistics and Probability
Multivariate statistics Epidemiology Computer science Network Meta-Analysis Myocardial Infarction Score Blood Pressure Biostatistics 01 natural sciences Article Correlation Multiple risk factor 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Health Information Management Statistics Humans Thrombolytic Therapy 030212 general & internal medicine 0101 mathematics Randomized Controlled Trials as Topic Likelihood Functions Models Statistical Descriptive statistics Univariate social sciences Random effects model Stroke Cardiovascular Diseases Meta-analysis Hypertension Multivariate Analysis |
| Zdroj: | Statistical Methods in Medical Research. 26:2853-2868 |
| ISSN: | 1477-0334 0962-2802 |
| DOI: | 10.1177/0962280215611702 |
| Popis: | Multivariate and network meta-analysis have the potential for the estimated mean of one effect to borrow strength from the data on other effects of interest. The extent of this borrowing of strength is usually assessed informally. We present new mathematical definitions of ‘borrowing of strength’. Our main proposal is based on a decomposition of the score statistic, which we show can be interpreted as comparing the precision of estimates from the multivariate and univariate models. Our definition of borrowing of strength therefore emulates the usual informal assessment. We also derive a method for calculating study weights, which we embed into the same framework as our borrowing of strength statistics, so that percentage study weights can accompany the results from multivariate and network meta-analyses as they do in conventional univariate meta-analyses. Our proposals are illustrated using three meta-analyses involving correlated effects for multiple outcomes, multiple risk factor associations and multiple treatments (network meta-analysis). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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