A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution.
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A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic accuracy studies.Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples.A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence.Meta-analysis for the comparison of two diagnostic tests-A new approach based on copulas.Beta-binomial analysis of variance model for network meta-analysis of diagnostic test accuracy data
P2860
A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
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2015年論文
@zh-tw
2015年论文
@wuu
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name
A mixed effect model for bivar ...... e random effects distribution.
@en
type
label
A mixed effect model for bivar ...... e random effects distribution.
@en
prefLabel
A mixed effect model for bivar ...... e random effects distribution.
@en
P2860
P356
P1476
A mixed effect model for bivar ...... e random effects distribution.
@en
P2093
Aristidis K Nikoloulopoulos
P2860
P304
P356
10.1002/SIM.6595
P407
P577
2015-08-02T00:00:00Z
P5875
P698
P818
1502.07505