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Computational Statistics & Data Analysis|December 13, 2021
Conditional Independence Test of Failure and Truncation Times: Essential Tool for Method SelectionJing Ning, Daewoo Pak, Hong Zhu, et al.Lifetime Data Analysis|May 20, 2023
Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun StudyDaewoo Pak, Jing Ning, Richard J Kryscio, et al.Biostatistics (Oxford, England)|June 30, 2016
Semiparametric density ratio modeling of survival data from a prevalent cohortHong Zhu, Jing Ning, Yu Shen, et al.Statistics in Medicine|October 21, 2020
Analyzing left-truncated and right-censored infectious disease cohort data with interval-censored infection onsetDaewoo Pak, Jun Liu, Jing Ning, et al.Statistical Methods in Medical Research|June 18, 2019
Adaptive lasso for the Cox regression with interval censored and possibly left truncated dataChenxi Li, Daewoo Pak, David TodemBiometrika|July 12, 2013
Likelihood approaches for the invariant density ratio model with biased-sampling dataYu Shen, Jing Ning, Jing QinStatistical Methods in Medical Research|July 21, 2018
Semiparametric analysis of correlated and interval-censored event-history dataDaewoo Pak, Chenxi Li, David TodemLifetime Data Analysis|April 18, 2016
Nonparametric and semiparametric regression estimation for length-biased survival dataYu Shen, Jing Ning, Jing QinJournal of the American Statistical Association|November 9, 2010
Analyzing Length-biased Data with Semiparametric Transformation and Accelerated Failure Time ModelsYu Shen, Jing Ning, Jing QinStatistica Sinica|January 31, 2014
Semiparametric Accelerated Failure Time Model for Length-biased Data with Application to Dementia StudyJing Ning, Jing Qin, Yu ShenPageof 571