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Asymptotic theory for the semiparametric accelerated failure time model
  with missing data

Asymptotic theory for the semiparametric accelerated failure time model with missing data

21 August 2009
B. Nan
J. Kalbfleisch
Menggang Yu
ArXiv (abs)PDFHTML

Papers citing "Asymptotic theory for the semiparametric accelerated failure time model with missing data"

6 / 6 papers shown
Complex sampling designs: uniform limit theorems and applications
Complex sampling designs: uniform limit theorems and applicationsAnnals of Statistics (Ann. Stat.), 2019
Q. Han
J. Wellner
273
22
0
30 May 2019
Estimating mean survival time: when is it possible?
Estimating mean survival time: when is it possible?
Ying Ding
B. Nan
120
14
0
31 Jul 2013
Fast Accelerated Failure Time Modeling for Case-Cohort Data
Fast Accelerated Failure Time Modeling for Case-Cohort DataStatistics and computing (Stat. Comput.), 2012
S. H. Chiou
Sangwook Kang
Jun Yan
181
30
0
01 Jun 2012
Semi-Supervised learning with Density-Ratio Estimation
Semi-Supervised learning with Density-Ratio EstimationMachine-mediated learning (ML), 2012
Masanori Kawakita
Takafumi Kanamori
162
45
0
18 Apr 2012
A general semiparametric Z-estimation approach for case-cohort studies
A general semiparametric Z-estimation approach for case-cohort studiesStatistica sinica (Stat. Sinica), 2012
B. Nan
J. Wellner
173
25
0
11 Apr 2012
A sieve M-theorem for bundled parameters in semiparametric models, with
  application to the efficient estimation in a linear model for censored data
A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored dataAnnals of Statistics (Ann. Stat.), 2011
Ying Ding
B. Nan
162
64
0
12 Mar 2012
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