0 users

Non-Parametric Maximum Likelihood Estimate for Cohort Samplings.

To compute the non-parametric maximum likelihood estimates (NPMLEs) and penalized NPMLEs with SCAD, HARD and LASSO penalties for nested case-control or case-cohort sampling design with time matching under Cox's regression model. It also proposes the standard error formula for estimator using observed profile likelihood. For details about (penalized) NPNLEs see the original paper "Penalized Full Likelihood Approach to Variable Selection for Cox's Regression Model under Nested Case-Control Sampling" by Wang et al. (2019) .

Maintainer: Jie-Huei Wang
Author(s): Jie-Huei Wang, Chun-Hao Pan, I-Shou Chang, and Chao A. Hsiung

License: GPL (>= 2)

Uses: MASS, survival

Released 6 months ago.



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of NPMLENCC yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for NPMLENCC on google, google scholar, r-help, r-devel.

Visit NPMLENCC on R Graphical Manual.