Efficient Estimation of Clustered Current Status Data

Current status data abounds in the field of epidemiology and public health, where the only observable data for a subject is the random inspection time and the event status at inspection. Motivated by such a current status data from a periodontal study where data are inherently clustered, we propose a unified methodology to analyze such complex data.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0 by Tong Wang, a year ago

Browse source code at https://github.com/cran/FMCCSD

Authors: Tong Wang [aut, cre] , Kejun He [aut] , Wei Ma [aut] , Dipankar Bandyopadhyay [aut] , Samiran Sinha [aut]

Documentation:   PDF Manual  

GPL-2 license

Imports Rcpp, numDeriv, splines2, orthopolynom

Linking to Rcpp, RcppArmadillo

See at CRAN