Test procedures for disease prevalence with partially validated data

Journal of Biopharmaceutical Statistics

Volumn 22, Issue 2, 2012, Pages 368-386

  Tang, Man Lai ^a   Qiu, Shi Fang ^b   Poon, Wai Yin ^c   Tang, Nian Sheng ^d  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b CHONGQING UNIVERSITY OF TECHNOLOGY   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^d YUNNAN UNIVERSITY   (China)

Author keywords

Approximate unconditional method; Disease prevalence; Double sampling; Partially validated data

Indexed keywords

ARTICLE; LKELIHOOD RATIO TEST; PREVALENCE; PRIORITY JOURNAL; SAMPLE SIZE; SAMPLING ERROR; SCORING SYSTEM; SCREENING TEST; SIMULATION; STATISTICAL ANALYSIS; VALIDATION PROCESS; WALD TEST;

ALGORITHMS; DATA INTERPRETATION, STATISTICAL; DISEASE; EPIDEMIOLOGIC STUDIES; EPIDEMIOLOGY; HUMANS; LIKELIHOOD FUNCTIONS; PREVALENCE; RESEARCH DESIGN; SAMPLE SIZE;

EID: 84856837159     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543406.2010.544527     Document Type: Article

References (26)

1. Alonzo, T. A. (2003). Estimating disease prevalence in two-phase studies. Biostatistics 4:313-326.
2. Basu, D. (1977). On the elimination of nuisance parameters. Journal of the American Statistical Association 72:355-366.
3. Bross, I. (1954). Misclassification in 2 × 2 tables. Biometrics 10:478-486.
4. Chen, T. T. (1979). Log-linear models for categorical data with misclassification and doublesampling. Journal of the American Statistical Association 74:481-488.
5. Chen, T. T. (1989). A review of methods for misclassified categorical data in epidemiology. Statistics in Medicine 8:1095-1106. (Pubitemid 19233681)
6. Chan, I. S. F., Tang, N. S., Tang, M. L., Chan, P. S. (2003). Statistical analysis of noninferiority trials with a rate ratio in small-sample matched-pair designs. Biometrics 59:1170-1177. (Pubitemid 38021248)
7. Ekholm, A. (1991). Algorithms versus models for analyzing data that contain misclassification errors. Biometrics 47:1171-1182.
8. Espland, M. A., Hui, S. L. (1987). A general approach to analyzing epidemiologic data that contain misclassification errors. Biometrics 43:1001-1012. (Pubitemid 18016785)
9. Espland, M. A., Odoroff, C. L. (1985). Log-linear models for doubly sampled categorical data fitted by the EM algorithm. Journal of the American Statistical Association 80:663-670.
10. Gastwirth, J. L. (1987). The statistical precision of medical screening procedures: Application to polygragh and AIDS antibodies test data. Statistical Science 2:213-222.
11. Geng, Z., Asano, C. (1989). Bayesian estimation methods for categorical data with misclassification. Communications in Statistics: Theory and Methods 18:1747-1766.
12. Hilton, J. F., Mehta, C. R. (1993). Power and sample size calculations for exact conditional tests with ordered categorical data. Biometrics 49:609-616. (Pubitemid 23217996)
13. Hirji, K. F., Tang, M. L. (1998). Comparison of tests for trend. Communications in Statistics: Theory and Methods 27:943-963.
14. McNamee, R. (2003). Efficiency of two-phase designs for prevalence estimation. International Journal of Epidemiology 32:1072-1078. (Pubitemid 38072699)
15. Mehta, C. R., Patel, N. R., Tsiatis, A. A. (1984). Exact significance testing to establish treatment equivalence with ordered categorical data. Biometrics 40:819-825.
16. Pepe, M. S. (1992). Inference using surrogate outcome data and a validation sample. Biometrika 79:355-365.
17. Prince, M. (2003). Commentary: Two-phase surveys. A death is announced; No flowers please. International Journal of Epidemiology 32:1078-1080. (Pubitemid 38072700)
18. Poon, W. Y., Wang, H. B. (2010). Analysis of ordinal categorical data with misclassification. British Journal of Mathematical and Statistical Psychology 63:17-42.
19. Rao, C. R. (1985). Linear Statistical Inference and Its Applications. 2nd ed. New York: Wiley.
20. Tenenbein, A. A. (1970). A double-sampling scheme for estimating from binomial data with misclassifications. Journal of the American Statistical Association 65:1350-1361.
21. Tenenbein, A. A. (1972). A double-sampling scheme for estimating from misclassified multinomial data with applications to sampling inspection. Technometrics 14:187-202.
22. Tang, M. L., Chan, P. S., Chan, W. (2000). On exact unconditional test for linear trend in dose-response studies. Biometrical Journal 42:795-806.
23. Tang, M. L., Hirji, K. F., Vollset, S. E. (1995). Exact power computation for dose-response studies. Statistics in Medicine 20:2261-2272.
24. Tang, N. S., Tang, M. L., Qiu, S. F. (2008). Testing the equality of proportions for correlated otolaryngologic data. Computational Statistics and Data Analysis 52:3719-3729.
25. Walter, J. R., Beth, G. (1978). Estimating prevalence from the results of a screening test. American Journal of Epidemiology 107:71-76.
26. Yiu, C. F., Poon, W. Y. (2008). Estimating the polychoric correlation from misclassified data. British Journal of Mathematical and Statistical Psychology 61:133-161.