Procedures for performing meta-analyses of the accuracy of tools for binary classification;Procedimientos para realizar meta-análisis de la precisión de instrumentos de clasificación binaria

Psicothema

Volumn 24, Issue 1, 2012, Pages 133-141

  Botella, Juan ^a   Huang, Huiling ^a  

^a UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ALCOHOLISM; ALGORITHM; ARTICLE; CLASSIFICATION; HUMAN; LABORATORY DIAGNOSIS; META ANALYSIS (TOPIC); NORMAL DISTRIBUTION; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

ALCOHOL-RELATED DISORDERS; ALGORITHMS; CLASSIFICATION; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; HUMANS; META-ANALYSIS AS TOPIC; METHODS; NORMAL DISTRIBUTION; ROC CURVE; SENSITIVITY AND SPECIFICITY;

EID: 84857002718     PISSN: 02149915     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review

References (28)

1. Babor, T.F., Higgins-Biddle, J.C., Saunders, J.B., y Monteiro, M.G. (Eds.) (2001). AUDIT: The alcohol use disorders identification test: Guidelines for use in primary care, 2nd edition, WHO Document No. WHO/MSD/MSB/01.6a, Geneva, Switzerland: World Health Organization, 2001.
2. Berner, M.M., Kriston, L., Bentele, M., y Harter, M. (2007). The alcohol use disorders identification test for detecting at-risk drinking: A systematic review and meta-analysis. Journal of Studies on Alcohol and Drugs, 68, 461-473.
3. Botella, J., y Gambara, H. (2002). ¿Qué es el meta-análisis? Madrid: Biblioteca Nueva.
4. Botella, J., y Suero, M. (en prensa). Managing heterogeneity of variances in studies of internal consistency generalization. Methodology.
5. Botella, J., Suero, M., y Gambara, H. (2010). Psychometric inferences from a meta-analysis of reliability and internal consistency coefficients. Psychological Methods, 15, 386-397.
6. Fleiss, J.L. (1994). Measures of effect size for categorical data. En H. Cooper y L.V. Hedges (Eds.), The handbook of research synthesis. Nueva York: Russell Sage Foundation.
7. Franco, M., y Vivo, J. (2007). Análisis de curvas ROC. Principios básicos y aplicaciones. Madrid: La Muralla.
8. Gatsonis, C., y Paliwal, P. (2006). Meta-analysis of diagnostic and screening test accuracy evaluations: Methodological primer. American Journal of Roentgenology, 187, 271-281.
9. Harbord, R.M., Deeks, J.J., Egger, M., Whiting, P., y Sterne J.A. (2007). A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics, 8(2), 239-251.
10. Hasselblad, V., y Hedges, L.V. (1995). Meta-analysis of screening and diagnostic tests. Psychological Bulletin, 117, 167-178.
11. Hedges L.V., y Olkin, I. (1985). Statistical Methods of meta-analysis. Orlando: Academic Press.
12. Lipsey, M.W., y Wilson, D.B. (2001). Practical meta-analysis. Thousand oaks, CA: Sage Pub.
13. Logan, G.D. (2004). Cumulative progress in formal theories of attention. Annual Review of Psychology, 55, 207-234.
14. Macaskill, P. (2004). Empirical Bayes estimates generated in a hierarchical summary ROC analysis agreed closely with those of a full Bayesian analysis. Journal of Clinical Epidemiology, 57, 925-932.
15. Moses, L.E., Shapiro, D., y Littenberg, B. (1993). Combining independent studies of a diagnostic test into a summary ROC curve: Data-analytical approaches and some additional considerations. Statistics in Medicine, 12, 1293-1316.
16. Reitsma, J.B., Glas, A.S., Rutjes, A.W., Scholten, R.J., Bossuyt, P.M., y Zwinderman A.H. (2005). Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. Journal of Clinical Epidemiology, 58, 982-990.
17. Review Manager (RevMan) (2008) [Computer program]. Version 5.0. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration.
18. Rutter, C.M., y Gatsonis, C.A. (1995). Regression methods for meta-analysis of diagnostic test data. Academic Radiology, 2(Suppl 1), S48-56.
19. Rutter, C.M., y Gatsonis, C.A. (2001). A hierarchical regression approach to meta-analysis of diagnostic test accuracy evaluations. Statistics in Medicine, 20, 2865-2884.
20. Sánchez-Meca, J., y Botella, J. (2010). Revisiones sistemáticas y metaanálisis: herramientas para la práctica profesional. Papeles del Psicólogo, 31(1), 7-17.
21. Sánchez-Meca, J., y López-Pina, J.A. (2008). El enfoque meta-analítico de generalización de la fiabilidad. Acción Psicológica, 5, 37-64.
22. Sánchez-Meca, J., Marín-Martínez, F., y Chacón-Moscoso, S. (2003). Effect-size indices for dichotomized outcomes in meta-analysis. Psychological Methods, 8, 448-467.
23. SAS Institute Inc. (2008). The SAS System for Windows. Version 9.2 Cary, NC: SAS Institute Inc.
24. Swets, J.A. (1964). Signal detection and recognition by human observers. Nueva York: Wiley.
25. Swets, J.A. (1996). Signal detection theory and ROC analysis in psychology and diagnostics. Mahwah: Lawrence Erlbaum Associates.
26. Swets, J.A., Dawes, R.M., y Monahan, J. (2000). Psychological Science can improve diagnostic decisions. Psychological Science in the Public Interest, 1(1), 1-26.
27. Wickens, T.D. (2001). Elementary signal detection theory. Nueva York: Oxford University Press.
28. Zamora, J., Abraira, V., Muriel, A., Khan, K., y Coomarasamy, A. (2006). Meta-Disc: A software for meta-analysis of test accuracy data. BMC Medical Research Methodology, 6, 31.