Current Status Data in the Twenty-First Century: Some Interesting Developments - Interval-Censored-Time-to-Event Data: Methods and Applications - page 87

Lan, L. and Datta, S. (2010). Comparison of state occupation, entry, exit

and waiting times in two or more groups based on current status data in a
multistate model. Statistics in Medicine 29, 906{914.

Lin, D. Y., Oakes, D., and Ying, Z. (1998). Additive hazards regression with

current status data. Biometrika 85, 289{298.

Ma, S. (2009). Cure model with current status data. Statistica Sinica 19,

233{249.

Ma, S. (2010). Mixed case interval-censored data with a cured subgroup.
Statistica Sinica 20, 1165{1181.

Ma, S. (2011). Additive risk model for current status data with a cured

subgroup. Annals of the Institute of Statistical Mathematics 63, 117{134.

Ma, S. and Kosorok, M. R. (2005). Penalized log-likelihood estimation for

partly linear transformation models with current status data. The Annals

of Statistics 33, 2256{2290.

Ma, S. and Kosorok, M. R. (2006). Adaptive penalized M-estimation with

current status data. Annals of the Institute of Statistical Mathematics 58,

511{526.

Maathuis, M. (2006). Nonparametric Estimation for Current Status Data with

Competing Risks. Ph.D. thesis, University of Washington.

Maathuis, M. H. and Hudgens, M. G. (2011). Nonparametric inference for

competing risks current status data with continuous, discrete or grouped

observation times. Biometrika 98, 325{340.

Maathuis, M. H. and Wellner, J. A. (2008). Inconsistency of the mle for the

joint distribution of interval-censored survival times and continuous marks.

Scandinavian Journal of Statistics 35, 83{103.

Mammen, E. (1991). Estimating a smooth monotone regression function.

Annals of Statistics 19, 724{740.