A general semiparametric Z-estimation approach for case-cohort studies.

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Recurrent event data analysis with intermittently observed time-varying covariates Analysis of two-phase sampling data with semiparametric additive hazards models.

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Q31047158-73A57699-5432-446F-B947-35ADA915097F Q31060985-2366178E-2CD5-4550-B135-9EBA47AF725B

P2860

A general semiparametric Z-estimation approach for case-cohort studies.

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A general semiparametric Z-estimation approach for case-cohort studies.

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A general semiparametric Z-estimation approach for case-cohort studies.

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A general semiparametric Z-estimation approach for case-cohort studies.

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P1476

A general semiparametric Z-estimation approach for case-cohort studies.

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P2093

Bin Nan

http://www.w3.org/2001/XMLSchema#string

Jon A Wellner

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P2860

A SIEVE M-THEOREM FOR BUNDLED PARAMETERS IN SEMIPARAMETRIC MODELS, WITH APPLICATION TO THE EFFICIENT ESTIMATION IN A LINEAR MODEL FOR CENSORED DATA.

Weighted likelihood method for grouped survival data in case-cohort studies with application to HIV vaccine trials.

A Z-theorem with Estimated Nuisance Parameters and Correction Note for 'Weighted Likelihood for Semiparametric Models and Two-phase Stratified Samples, with Application to Cox Regression'

Likelihood analysis of multi-state models for disease incidence and mortality.

Exposure stratified case-cohort designs.

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1155-1180

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scholarly article

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P478

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2013-07-01T00:00:00Z

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24489449

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3904394

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A general semiparametric Z-estimation approach for case-cohort studies.

about

P2860

P2860

A general semiparametric Z-estimation approach for case-cohort studies.

description

name

type

label

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P1433

P1476

P2093

P2860

P304

P31

P433

P478

P577

P698

P932

P1433

P1476

P2093

P2860

P304

P31

P433

P478

P577

P698

P932