A flexible parametric model for combining current status and age at first diagnosis data

Biometrics

Volumn 57, Issue 2, 2001, Pages 396-403

  Dunson, David B ^a   Baird, Donna D ^a  

^a NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

Coarse data; Informative missingness; Interval censoring; Latency; Proportional odds; Survival analysis; Three state model; Uterine fibroids

Indexed keywords

MAXIMUM LIKELIHOOD ESTIMATION; PIECEWISE LINEAR TECHNIQUES;

COARSE DATA; CURRENT STATUS; INFORMATIVE MISSINGNESS; INTERVAL CENSORING; LATENCY; PARAMETRIC MODELS; PROPORTIONAL ODD; SURVIVAL ANALYSIS; THREE-STATE MODELS; UTERINE FIBROIDS;

DIAGNOSIS;

ARTICLE; CHRONIC DISEASE; FEMALE; HUMAN; LATENT PERIOD; MENOPAUSE; ONSET AGE; PUBERTY; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL; UTERUS MYOMA;

EID: 0035009603     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2001.00396.x     Document Type: Article

References (24)

1. Bacchetti, P. (1990). Estimating the incubation period of AIDS by comparing population infection and diagnosis patterns. Journal of the American Statistical Association 85, 1002-1008.
2. Bacchetti, P. and Jewell, N. P. (1991). Nonparametric estimation of the incubation period of AIDS based on a prevalent cohort with unknown infection times. Biometrics 47, 947-960.
3. Baker, S. G. (2000). Analyzing a randomized cancer prevention trial with a missing binary outcome, an auxiliary variable, and all-or-none compliance. Journal of the American Statistical Association 95, 43-50.
4. Betensky, R. A. (2000). On nonidentifiability and noninformative censoring for current, status data. Biometrika 87, 218-221.
5. Commenges, D. (1999). Multi-state models in epidemiology. Lifetime. Data Analysis 5, 315-327.
6. De Gruttola, V. G. and Lagakos, S. W. (1989). Analysis of doubly-censored survival data, with application to AIDS. Biometrics 45, 1-11.
7. Deltour, I., Richardson, S., and Le Hesran, J.-Y. (1999). Stochastic algorithms for Markov models estimation with intermittent missing data. Biometrics 55, 565-573.
8. Diamond, I. D. and McDonald, J. W. (1992). Analysis of current status data. In Demography and Event History Analysis, eds. J. Trussell, R. Hankinson, and J. Tilton (eds.), 231-252. Oxford, U.K.: Claredon.
9. Diamond, I. D., McDonald, J. W., and Shah, I. H. (1986). Proportional hazards models for current status data: Application to the study of differentials in age at weaning in Pakistan. Demography 23, 607-620.
10. Dinse, G. E. (1993). Evaluating constraints that allow survival-adjusted incidence analyses in single-sacrifice studies. Biometrics 49, 399-407.
11. Frydman, H. (1992). A nonparametric estimation procedure for a periodically observed three state Markov process, with application to AIDS. Journal of the Royal Statistical Society, Series B 54, 853-866.
12. Frydman, H. (1995). Semiparametric estimation in a three-state duration-dependent Markov model from interval-censored observations with applications to AIDS data. Biometrics 51, 502-511.
13. Gomez, G. and Lagakos, S. W. (1994). Estimation of the infection time and latency distribution of AIDS with doubly censored-data. Biometrics 50, 204-212.
14. Heitjan, D. F. (1993). Ignorability and coarse data: Some biomedical examples. Biometrics 49, 1099-1109.
15. Heitjan, D. F. and Rubin, D. B. (1991). Ignorability and coarse data. Annals of Statistics 19, 2244-2253.
16. Hwang, J. T. G. and Peddada, S. D. (1994). Confidence interval estimation subject to order restrictions. The Annals of Statistics 22, 67-93.
17. Joly, P. and Commenges, D. (1999). A penalized likelihood approach for a progressive three-state model with censored and truncated data: Applications to AIDS. Biometrics 55, 887-890.
18. Lee, C. I. C. (1988). The quadratic loss of order restricted estimators for several treatment means and a control mean. The. Annals of Statistics 16, 751-758.
19. Little, R. A. and Rubin, D. B. (1987). Statistical Analysis with Missing Data. New York: John Wiley and Sons.
20. Rabinowitz, D., Tsiatis, A., and Aragon, J. (1995). Regression models for current status data. Biometrika 82, 501-514.
21. Rossini, A. J. and Tsiatis, A. A. (1996). A semiparametric proportional odds regression model for the analysis of current status data. Journal of the American Statistical Association 91, 713-721.
22. Sherlaw-Johnson, C., Gallivan, S., and Burridge, J. (1995). Estimating a Markov transition matrix from observational data. Journal of the Operational Research Society 46, 405-410.
23. Shiboski, S. C. (1998). Generalized additive models for current status data. Lifetime Data Analysis 4, 29-50.
24. Sun, J. and Kalbfeisch, J. D. (1993). The analysis of current status data on point processes. Journal of the American Statistical Association 88, 1449-1454.