Comment on "A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence' by Aristidis K Nikoloulopoulos

被引：0

作者：

Hoyer, Annika ^{[1
]}

Kuss, Oliver ^{[1
]}

机构：

[1] Univ Dusseldorf, Leibniz Inst Diabet Res, Inst Epidemiol & Biometry, German Diabet Ctr, Dusseldorf, Germany

来源：

STATISTICAL METHODS IN MEDICAL RESEARCH | 2016年 / 25卷 / 02期

关键词：

D O I：

10.1177/0962280216640628

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

引用

页码：985 / 987

页数：3

共 21 条

[1] Comment on "A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence'
Nikoloulopoulos, Aristidis K.
STATISTICAL METHODS IN MEDICAL RESEARCH, 2016, 25 (02) : 988 - 991
[2] A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence
Nikoloulopoulos, Aristidis K.
STATISTICAL METHODS IN MEDICAL RESEARCH, 2017, 26 (05) : 2270 - 2286
[3] An extended trivariate vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable outcomes
Nikoloulopoulos, Aristidis K.
INTERNATIONAL JOURNAL OF BIOSTATISTICS, 2020, 16 (02):
[4] Meta-analysis of diagnostic tests accounting for disease prevalence: a new model using trivariate copulas
Hoyer, A.
Kuss, O.
STATISTICS IN MEDICINE, 2015, 34 (11) : 1912 - 1924
[5] Meta-analysis of diagnostic accuracy studies accounting for disease prevalence: Alternative parameterizations and model selection
Chu, Haitao
Nie, Lei
Cole, Stephen R.
Poole, Charles
STATISTICS IN MEDICINE, 2009, 28 (18) : 2384 - 2399
[6] A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution
Nikoloulopoulos, Aristidis K.
STATISTICS IN MEDICINE, 2015, 34 (29) : 3842 - 3865
[7] A D-vine copula mixed model for joint meta-analysis and comparison of diagnostic tests
Nikoloulopoulos, Aristidis K.
STATISTICAL METHODS IN MEDICAL RESEARCH, 2019, 28 (10-11) : 3286 - 3300
[8] A trivariate meta-analysis of diagnostic studies accounting for prevalence and non-evaluable subjects: re-evaluation of the meta-analysis of coronary CT angiography studies
Ma, Xiaoye
Suri, Muhammad Fareed K.
Chu, Haitao
BMC MEDICAL RESEARCH METHODOLOGY, 2014, 14
[9] A trivariate meta-analysis of diagnostic studies accounting for prevalence and non-evaluable subjects: re-evaluation of the meta-analysis of coronary CT angiography studies
Xiaoye Ma
Muhammad Fareed K Suri
Haitao Chu
BMC Medical Research Methodology, 14
[10] A multinomial quadrivariate D-vine copula mixed model for meta-analysis of diagnostic studies in the presence of non-evaluable subjects
Nikoloulopoulos, Aristidis K.
STATISTICAL METHODS IN MEDICAL RESEARCH, 2020, 29 (10) : 2988 - 3005

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