A hybrid Bayesian hierarchical model combining cohort and case–control studies for meta-analysis of diagnostic tests: Accounting for partial verification bias
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Haitao Chu | Stephen R Cole | Xiaoye Ma | Yong Chen | S. Cole | H. Chu | Yong Chen | Xiaoye Ma
[1] L E Moses,et al. Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. , 1993, Statistics in medicine.
[2] C M Rutter,et al. A hierarchical regression approach to meta‐analysis of diagnostic test accuracy evaluations , 2001, Statistics in medicine.
[3] Patrick M M Bossuyt,et al. Diagnostic test accuracy may vary with prevalence: implications for evidence-based diagnosis. , 2009, Journal of clinical epidemiology.
[4] Ofer Harel,et al. Multiple imputation for correcting verification bias , 2006, Statistics in medicine.
[5] M. Pepe. The Statistical Evaluation of Medical Tests for Classification and Prediction , 2003 .
[6] David B. Dunson,et al. Bayesian Data Analysis , 2010 .
[7] Andrew Thomas,et al. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility , 2000, Stat. Comput..
[8] Iven Van Mechelen,et al. Visualizing Distributions of Covariance Matrices ∗ , 2011 .
[9] Steve Halligan,et al. Systematic reviews of diagnostic tests in cancer: review of methods and reporting , 2006, BMJ : British Medical Journal.
[10] J. A. Roldán Nofuentes,et al. Comparing the likelihood ratios of two binary diagnostic tests in the presence of partial verification. , 2005 .
[11] Xiao-Li Meng,et al. Modeling covariance matrices in terms of standard deviations and correlations, with application to shrinkage , 2000 .
[12] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[13] Johannes B Reitsma,et al. Evidence of bias and variation in diagnostic accuracy studies , 2006, Canadian Medical Association Journal.
[14] W. K. Hastings,et al. Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .
[15] N. Metropolis,et al. Equation of State Calculations by Fast Computing Machines , 1953, Resonance.
[16] R. Little. Pattern-Mixture Models for Multivariate Incomplete Data , 1993 .
[17] Ross Ihaka,et al. Gentleman R: R: A language for data analysis and graphics , 1996 .
[18] Huiman X Barnhart,et al. Accounting for Nonignorable Verification Bias in Assessment of Diagnostic Tests , 2003, Biometrics.
[19] Haitao Chu,et al. Bivariate Random Effects Meta-Analysis of Diagnostic Studies Using Generalized Linear Mixed Models , 2010 .
[20] Karel G M Moons,et al. Detection of lymph node metastases by gadolinium-enhanced magnetic resonance imaging: systematic review and meta-analysis. , 2010, Journal of the National Cancer Institute.
[21] Xiao-Hua Zhou,et al. Statistical Methods in Diagnostic Medicine , 2002 .
[22] K J M Janssen,et al. Multiple imputation to correct for partial verification bias revisited , 2008, Statistics in medicine.
[23] X H Zhou,et al. Correcting for verification bias in studies of a diagnostic test's accuracy , 1998, Statistical methods in medical research.
[24] P. Bossuyt,et al. Empirical evidence of design-related bias in studies of diagnostic tests. , 1999, JAMA.
[25] Rebecca M Turner,et al. Characteristics of meta-analyses and their component studies in the Cochrane Database of Systematic Reviews: a cross-sectional, descriptive analysis , 2011, BMC medical research methodology.
[26] William J. Browne,et al. Implementation and performance issues in the Bayesian and likelihood fitting of multilevel models , 2000, Comput. Stat..
[27] Jialiang Li,et al. Prevalence‐dependent diagnostic accuracy measures , 2007, Statistics in medicine.
[28] David R. Jones,et al. How vague is vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS , 2005, Statistics in medicine.
[29] Haitao Chu,et al. Statistical methods for multivariate meta-analysis of diagnostic tests: An overview and tutorial , 2016, Statistical methods in medical research.
[30] Johannes B Reitsma,et al. American Journal of Epidemiology Practice of Epidemiology Adjusting for Partial Verification or Workup Bias in Meta-analyses of Diagnostic Accuracy Studies , 2022 .
[31] Nandini Dendukuri,et al. Bayesian Meta‐Analysis of the Accuracy of a Test for Tuberculous Pleuritis in the Absence of a Gold Standard Reference , 2012, Biometrics.
[32] Alex J Sutton,et al. Asymmetric funnel plots and publication bias in meta-analyses of diagnostic accuracy. , 2002, International journal of epidemiology.
[33] R A Greenes,et al. Assessment of diagnostic tests when disease verification is subject to selection bias. , 1983, Biometrics.
[34] Theo Stijnen,et al. Advanced methods in meta‐analysis: multivariate approach and meta‐regression , 2002, Statistics in medicine.
[35] Adrian F. M. Smith,et al. Sampling-Based Approaches to Calculating Marginal Densities , 1990 .
[36] Thomas A Louis,et al. Random Effects Models in a Meta-Analysis of the Accuracy of Two Diagnostic Tests Without a Gold Standard , 2009, Journal of the American Statistical Association.
[37] Johannes B Reitsma,et al. Meta-Analysis of Diagnostic Studies: A Comparison of Random Intercept, Normal-Normal, and Binomial-Normal Bivariate Summary ROC Approaches , 2008, Medical decision making : an international journal of the Society for Medical Decision Making.
[38] W. Gilks,et al. Adaptive Rejection Metropolis Sampling Within Gibbs Sampling , 1995 .
[39] Haitao Chu,et al. Meta‐analysis of diagnostic accuracy studies accounting for disease prevalence: Alternative parameterizations and model selection , 2009, Statistics in medicine.
[40] Mannudeep K. Kalra,et al. Characterization of adrenal masses by using FDG PET: A systematic review and meta-analysis of diagnostic test performance , 2011 .
[41] Haitao Chu,et al. Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach. , 2006, Journal of clinical epidemiology.
[42] T. Stijnen,et al. Review: a gentle introduction to imputation of missing values. , 2006, Journal of clinical epidemiology.
[43] Patrick M Bossuyt,et al. We should not pool diagnostic likelihood ratios in systematic reviews , 2008, Statistics in medicine.
[44] Johannes B Reitsma,et al. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. , 2005, Journal of clinical epidemiology.
[45] A. Feinstein,et al. Problems of spectrum and bias in evaluating the efficacy of diagnostic tests. , 1978, The New England journal of medicine.
[46] Mohsen Sadatsafavi,et al. A statistical method was used for the meta-analysis of tests for latent TB in the absence of a gold standard, combining random-effect and latent-class methods to estimate test accuracy. , 2010, Journal of clinical epidemiology.
[47] Bradley P. Carlin,et al. Bayesian Methods for Data Analysis , 2008 .
[48] P. Bossuyt,et al. BMC Medical Research Methodology , 2002 .
[49] Andrew Gelman,et al. General methods for monitoring convergence of iterative simulations , 1998 .
[50] Haitao Chu,et al. A unification of models for meta-analysis of diagnostic accuracy studies. , 2009, Biostatistics.
[51] Petra Macaskill,et al. Empirical Bayes estimates generated in a hierarchical summary ROC analysis agreed closely with those of a full Bayesian analysis. , 2004, Journal of clinical epidemiology.
[52] Johannes B Reitsma,et al. Case-control and two-gate designs in diagnostic accuracy studies. , 2005, Clinical chemistry.
[53] S G Baker,et al. Evaluating multiple diagnostic tests with partial verification. , 1995, Biometrics.
[54] Joris A H de Groot,et al. Verification problems in diagnostic accuracy studies: consequences and solutions , 2011, BMJ : British Medical Journal.
[55] Ajit Lalvani,et al. Diagnosis of tuberculosis in South African children with a T cell-based assay: a prospective cohort study , 2004, The Lancet.