The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A hierarchical regression approach to meta‐analysis of diagnostic test accuracy evaluations
Abstract
An important quality of meta‐analytic models for research synthesis is their ability to account for both within‐ and between‐study variability. Currently available meta‐analytic approaches for studies of diagnostic test accuracy work primarily within a fixed‐effects framework. In this paper we describe a hierarchical regression model for meta‐analysis of studies reporting estimates of test sensitivity and specificity. The model allows more between‐ and within‐study variability than fixed‐effect approaches, by allowing both test stringency and test accuracy to vary across studies. It is also possible to examine the effects of study specific covariates. Estimates are computed using Markov Chain Monte Carlo simulation with publicly available software (BUGS). This estimation method allows flexibility in the choice of summary statistics. We demonstrate the advantages of this modelling approach using a recently published meta‐analysis comparing three tests used to detect nodal metastasis of cervical cancer. Copyright © 2001 John Wiley & Sons, Ltd.
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Sampling-based approaches to calculating marginal densities
Gelfand, A. E., & Smith, A. F. M. (1990) · Journal of the American Statistical Association · doi:10.1080/01621459.1990.10476213 · Cited by 6,606
Hambleton, R. K., & Swaminathan, H. (1985) · doi:10.1007/978-94-017-1988-9 · Cited by 1,777
Cited by
Reitsma, J. B., Glas, A. S., Rutjes, A. W. S., Scholten, R. J. P. M., Bossuyt, P. M., & Zwinderman, A. H. (2005) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.02.022 · Cited by 3,369
“The statistical shortcomings of the sROC approach have been described before [11,13,36] Rutter et al.”
BackgroundMethodInfluentialMcInnes, M. D. F., Moher, D., Thombs, B. D., McGrath, T. A., Bossuyt, P. M., and the PRISMA-DTA Group, Clifford, T., Cohen, J. F., Deeks, J. J., Gatsonis, C., et al. (2018) · JAMA · doi:10.1001/jama.2017.19163 · Cited by 3,210
Self-citationDeeks, J. J., Macaskill, P., & Irwig, L. (2005) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.01.016 · Cited by 2,910
Predicting adult obesity from childhood obesity: a systematic review and meta‐analysis
Simmonds, M., Llewellyn, A., Owen, C. G., & Woolacott, N. (2016) · Obesity Reviews · doi:10.1111/obr.12334 · Cited by 2,103
Moons, K. G. M., Wolff, R. F., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., & Mallett, S. (2019) · Annals of Internal Medicine · doi:10.7326/m18-1377 · Cited by 1,669
Metadata
- Authors
- Rutter, C. M., & Gatsonis, C. A.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2001-09-05
- Volume
- 20
- Issue
- 19
- Pages
- 2865-2884
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2151047141
- Cited by
- 1,505
- References
- 2
- FWCI
- 6.98
- Type
- journal article
- Language
- en
- Open access
- closed
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