Nonparametric maximum likelihood analysis of clustered current status data with the gamma-frailty Cox model

Chi-Chung Wen; Yi-Hau Chen

doi:10.1016/j.csda.2010.08.013

Nonparametric maximum likelihood analysis of clustered current status data with the gamma-frailty Cox model

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2010.08.013 ◽

2011 ◽

Vol 55 (2) ◽

pp. 1053-1060 ◽

Cited By ~ 13

Author(s):

Chi-Chung Wen ◽

Yi-Hau Chen

Keyword(s):

Maximum Likelihood ◽

Cox Model ◽

Current Status Data ◽

Current Status ◽

Maximum Likelihood Analysis ◽

Nonparametric Maximum Likelihood ◽

Gamma Frailty ◽

Likelihood Analysis ◽

Status Data

Download Full-text

The nonparametric maximum likelihood estimator in a class of doubly censored current status data models with application to partner studies

Biometrika ◽

10.1093/biomet/87.1.61 ◽

2000 ◽

Vol 87 (1) ◽

pp. 61-71 ◽

Cited By ~ 2

Author(s):

M. Van Der Laan

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimator ◽

Data Models ◽

Current Status Data ◽

Current Status ◽

Nonparametric Maximum Likelihood ◽

Likelihood Estimator ◽

Nonparametric Maximum Likelihood Estimator ◽

Doubly Censored ◽

Status Data

Download Full-text

Uniform convergence rate of the nonparametric maximum likelihood estimator for current status data with competing risks

Statistics ◽

10.1080/02331888.2020.1811281 ◽

2020 ◽

pp. 1-21

Author(s):

Sergey V. Malov

Keyword(s):

Maximum Likelihood ◽

Convergence Rate ◽

Competing Risks ◽

Current Status Data ◽

Current Status ◽

Nonparametric Maximum Likelihood ◽

Likelihood Estimator ◽

Nonparametric Maximum Likelihood Estimator ◽

Uniform Convergence Rate ◽

Status Data

Download Full-text

Comparison of Nonparametric Maximum Likelihood and Bayes Estimators of the Survival Function Based on Current Status Data

Communications for Statistical Applications and Methods ◽

10.5351/ckss.2007.14.1.111 ◽

2007 ◽

Vol 14 (1) ◽

pp. 111-119

Author(s):

Hee-Jeong Kim ◽

Yong-Dai Kim ◽

Young-Sook Son

Keyword(s):

Maximum Likelihood ◽

Survival Function ◽

Current Status Data ◽

Current Status ◽

Bayes Estimators ◽

Nonparametric Maximum Likelihood ◽

Status Data

Download Full-text

Maximum likelihood estimation for proportional odds regression model with current status data

Institute of Mathematical Statistics Lecture Notes - Monograph Series - Analysis of censored data ◽

10.1214/lnms/1215452217 ◽

1995 ◽

pp. 129-145 ◽

Cited By ~ 12

Author(s):

Jian Huang

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Regression Model ◽

Likelihood Estimation ◽

Current Status Data ◽

Current Status ◽

Proportional Odds ◽

Status Data

Download Full-text

The correlated and shared gamma frailty model for bivariate current status data: An illustration for cross-sectional serological data

Statistics in Medicine ◽

10.1002/sim.3660 ◽

2009 ◽

Vol 28 (22) ◽

pp. 2785-2800 ◽

Cited By ~ 21

Author(s):

N. Hens ◽

A. Wienke ◽

M. Aerts ◽

G. Molenberghs

Keyword(s):

Frailty Model ◽

Current Status Data ◽

Current Status ◽

Cross Sectional ◽

Gamma Frailty ◽

Serological Data ◽

Status Data

Download Full-text

Revisiting Non-Parametric Maximum Likelihood Estimation of Current Status Data with Competing Risks

Sankhya B ◽

10.1007/s13571-018-0172-3 ◽

2018 ◽

Vol 81 (1) ◽

pp. 39-59

Author(s):

Tamalika Koley ◽

Anup Dewanji

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Competing Risks ◽

Likelihood Estimation ◽

Current Status Data ◽

Current Status ◽

Status Data ◽

Non Parametric

Download Full-text

Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data

Journal of the American Statistical Association ◽

10.1198/016214504000000313 ◽

2004 ◽

Vol 99 (466) ◽

pp. 346-356 ◽

Cited By ~ 54

Author(s):

Hongqi Xue ◽

K. F Lam ◽

Guoying Li

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimator ◽

Regression Models ◽

Semiparametric Regression ◽

Current Status Data ◽

Current Status ◽

Likelihood Estimator ◽

Status Data

Download Full-text

Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2014.10.013 ◽

2015 ◽

Vol 83 ◽

pp. 140-150 ◽

Cited By ~ 13

Author(s):

Naichen Wang ◽

Lianming Wang ◽

Christopher S. McMahan

Keyword(s):

Regression Analysis ◽

Em Algorithm ◽

Proportional Hazards ◽

Proportional Hazards Model ◽

Current Status Data ◽

Current Status ◽

Gamma Frailty ◽

Hazards Model ◽

The Em Algorithm ◽

Status Data

Download Full-text

Sieve maximum likelihood regression analysis of dependent current status data

Biometrika ◽

10.1093/biomet/asv020 ◽

2015 ◽

Vol 102 (3) ◽

pp. 731-738 ◽

Cited By ~ 24

Author(s):

Ling Ma ◽

Tao Hu ◽

Jianguo Sun

Keyword(s):

Regression Analysis ◽

Maximum Likelihood ◽

Current Status Data ◽

Current Status ◽

Status Data

Download Full-text

Heritability of some personality source traits : évidence from MAVA design, Maximum Likelihood Analysis, and the OA Battery

L’Année psychologique ◽

10.3406/psy.1981.28384 ◽

1981 ◽

Vol 81 (2) ◽

pp. 429-451 ◽

Cited By ~ 1

Author(s):

R. B. Cattell ◽

D. C. Rao ◽

L.R. Schmidt ◽

D. S. Vaughan

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Analysis ◽

Likelihood Analysis

Download Full-text