Biomedical Engineering Reference
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Martinussen, T. and Scheike, T. H. (2002).
Ecient estimation in additive
hazards regression with current status data. Biometrika 8, 649{658.
McKeown, K. and Jewell, N. P. (2010).
Misclassification of current status
data. Lifetime Data Analysis 16, 215{230.
Murphy, S. A. and van der Vaart, A. (1997). Semiparametric likelihood ratio
inference. The Annals of Statistics 25, 1471{1509.
Murphy, S. A. and van der Vaart, A. (2000). On profile likelihood. The Journal
of the American Statistical Association 95, 449{485.
Robertson, T., Wright, F. T., and Dykstra, R. L. (1988). Order Restricted Sta-
tistical Inference. Wiley Series in Probability and Mathematical Statistics:
Probability and Mathematical Statistics. Chichester: John Wiley & Sons
Ltd. ISBN 0-471-91787-7.
Sal y Rosas, V. G. and Hughes, J. P. (2011). Nonparametric and semipara-
metric analysis of current status data subject to outcome misclassification.
Statistical Communications in Infectious Diseases 3, Issue 1, Article 7.
Schick, A. and Yu, Q. (2000). Consistency of the gmle with mixed case interval-
censored data. Scand. J. Statistics 27, 45{56.
Sen, B. and Banerjee, M. (2007). A pseudo-likelihood method for analyzing
interval-censored data. Biometrika 94, 71{86.
Shen, X. (2000). Linear regression with current status data. The Journal of
the American Statistical Association, Theory and Methods 95, 842{852.
Song, S. (2004).
Estimation with univariate `mixed-case' interval-censored
data. Statistica Sinica 14, 269{282.
Sun, J. (2006).
The Statistical Analysis of Interval-Censored Failure Time
Data. New York: Springer{Verlag, rst edition.
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