Partially latent class models for case-control studies of childhood pneumonia aetiology

Journal of the Royal Statistical Society. Series C: Applied Statistics

Volumn 65, Issue 1, 2016, Pages 97-114

  Wu, Zhenke ^a   Deloria Knoll, Maria ^a   Hammitt, Laura L ^a   Zeger, Scott L ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Aetiology; Bayesian method; Case control; Latent class; Measurement error; Pneumonia

Indexed keywords

EID: 84957845518     PISSN: 00359254     EISSN: 14679876     Source Type: Journal    
DOI: 10.1111/rssc.12101     Document Type: Article

References (26)

1. Aitchison, J. (1986) The Statistical Analysis of Compositional Data. London: Chapman and Hall.
2. Albert, P. and Dodd, L. (2008) On estimating diagnostic accuracy from studies with multiple raters and partial gold standard evaluation. J. Am. Statist. Ass., 103, 61-73.
3. Albert, P., McShane, L. and Shih, J. (2001) Latent class modeling approaches for assessing diagnostic error without a gold standard: with applications to p53 immunohistochemical assays in bladder tumors. Biometrics, 57, 610-619.
4. Blackwelder, W., Biswas, K., Wu, Y., Kotloff, K., Farag, T., Nasrin, D., Graubard, B., Sommerfelt, H. and Levine, M. (2012) Statistical methods in the global enteric multicenter study (gems). Clin. Infect. Dis., 55, suppl. 4, S246-S253.
5. Brooks, S. and Gelman, A. (1998) General methods for monitoring convergence of iterative simulations. J. Computnl Graph. Statist., 7, 434-455.
6. Bruzzi, P., Green, S., Byar, D., Brinton, L. and Schairer, C. (1985) Estimating the population attributable risk for multiple risk factors using case-control data. Am. J. Epidem., 122, 904-914.
7. Chacón, J., Mateu-Figueras, G. and Martín-Fernández, J. (2011) Gaussian kernels for density estimation with compositional data. Comput. Geosci., 37, 702-711.
8. Cutts, F. T., Zaman, S. M., Enwere, G., Jaffar, S., Levine, O. S., Okoko, J. B., Oluwalana, C., Vaughan, A., Obaro, S. K., Leach, A., McAdam, K. P., Biney, E., Saaka, M., Onwuchekwa, U., Yallop, F., Pierce, N. F., Greenwood, B. M., Adegbola, R. A. and the Gambian Pneumococcal Vaccine Trial Group (2005) Efficacy of nine-valent pneumococcal conjugate vaccine against pneumonia and invasive pneumococcal disease in the Gambia: randomised, double-blind, placebo-controlled trial. Lancet, 365, 1139-1146.
9. Deloria-Knoll, M., Feikin, D. R., Scott, J. A. G., O'Brien, K. L., DeLuca, A. N., Driscoll, A. J., Levine, O. S. and the Pneumonia Methods Working Group (2012) Identification and selection of cases and controls in the pneumonia etiology research for child health project. Clin. Infect. Dis., 54, suppl. 2, S117-S123.
10. Dunson, D. and Xing, C. (2009) Nonparametric bayes modeling of multivariate categorical data. J. Am. Statist. Ass., 104, 1042-1051.
11. Garrett, E. and Zeger, S. (2000) Latent class model diagnosis. Biometrics, 56, 1055-1067.
12. Goodman, L. (1974) Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61, 215-231.
13. Gustafson, P. (2005) On model expansion, model contraction, identifiability and prior information: two illustrative scenarios involving mismeasured variables. Statist. Sci., 20, 111-140.
14. Gustafson, P. (2009) What are the limits of posterior distributions arising from nonidentified models, and why should we care? J. Am. Statist. Ass., 104, 1682-1695.
15. Gustafson, P., Le, N. and Saskin, R. (2001) Case-control analysis with partial knowledge of exposure misclassification probabilities. Biometrics, 57, 598-609.
16. Hui, S. and Walter, S. (1980) Estimating the error rates of diagnostic tests. Biometrics, 36, 167-171.
17. Jones, G., Johnson, W., Hanson, T. and Christensen, R. (2010) Identifiability of models for multiple diagnostic testing in the absence of a gold standard. Biometrics, 66, 855-863.
18. Kadane, J. (1975) The role of identification in Bayesian theory. In Studies in Bayesian Econometrics and Statistics (eds S. Fienberg and A. Zellner ), pp. 175-191. Amsterdam: North-Holland.
19. King, G. and Lu, Y. (2008) Verbal autopsy methods with multiple causes of death. Statist. Sci., 23, 78-91.
20. Kullback, S. (2012) Information Theory and Statistics. Mineola: Courier Dover Publications.
21. Levine, O. S., O'Brien, K. L., Deloria-Knoll, M., Murdoch, D. R., Feikin, D. R., DeLuca, A. N., Driscoll, A. J., Baggett, H. C., Brooks, W. A., Howie, S. R., Kotloff, K. L., Madhi, S. A., Maloney, S. A., Sow, S., Thea, D. M. and Scott, J. A. (2012) The pneumonia etiology research for child health project: a 21st century childhood pneumonia etiology study. Clin. Infect. Dis., 54, suppl. 2, S93-S101.
22. Lunn, D. J., Thomas, A., Best, N. and Spiegelhalter, D. (2000) WinBUGS-a Bayesian modelling framework: concepts, structure, and extensibility. Statist. Comput., 10, 325-337.
23. Madhi, S. A., Kuwanda, L., Cutland, C. and Klugman, K. P. (2005) The impact of a 9-valent pneumococcal conjugate vaccine on the public health burden of pneumonia in hiv-infected and -uninfected children. Clin. Infect. Dis., 40, 1511-1518.
24. Murdoch, D. R., O'Brien, K. L., Driscoll, A. J., Karron, R. A., Bhat, N. and Pneumonia Methods Working Group, PERCH Core Team (2012) Laboratory methods for determining pneumonia etiology in children. Clin. Infect. Dis., 54, suppl. 2, S146-S152.
25. Qu, Y. and Hadgu, A. (1998) A model for evaluating sensitivity and specificity for correlated diagnostic tests in efficacy studies with an imperfect reference test. J. Am. Statist. Ass., 93, 920-928.
26. Wang, Z., Zhou, X. and Wang, M. (2011) Evaluation of diagnostic accuracy in detecting ordered symptom statuses without a gold standard. Biostatistics, 12, 567-581.