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Regression analysis of mixed recurrent-event and panel-count data.

Regression analysis of mixed recurrent-event and panel-count data.

http://www.wikidata.org/entity/Q30781201

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Regression analysis of incomplete data from event history studies with the proportional rates model.SEMIPARAMETRIC REGRESSION ANALYSIS OF REPEATED CURRENT STATUS DATA.

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P2860

Regression analysis of mixed recurrent-event and panel-count data.

http://www.wikidata.org/entity/Q30781201

description

2014 nî lūn-bûn

@nan

2014 թուականի Մարտին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի մարտին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

Regression analysis of mixed recurrent-event and panel-count data.

@ast

Regression analysis of mixed recurrent-event and panel-count data.

@en

type

label

Regression analysis of mixed recurrent-event and panel-count data.

@ast

Regression analysis of mixed recurrent-event and panel-count data.

@en

prefLabel

Regression analysis of mixed recurrent-event and panel-count data.

@ast

Regression analysis of mixed recurrent-event and panel-count data.

@en

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Regression analysis of mixed recurrent-event and panel-count data.

@en

P2093

Deo Kumar Srivastava

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Leslie L Robison

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Liang Zhu

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Manhua Chen

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Xinwei Tong

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P2860

Statistical analysis of mixed recurrent event data with application to cancer survivor study

Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data.

Analyzing Recurrent Event Data With Informative Censoring.

Marginal means/rates models for multiple type recurrent event data.

Marginal analysis of panel counts through estimating functions.

Nonparametric and semiparametric trend analysis for stratified recurrence times.

Study design and cohort characteristics of the Childhood Cancer Survivor Study: a multi-institutional collaborative project.

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555-568

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scholarly article

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10.1093/BIOSTATISTICS/KXU009

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3

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15

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Wendy Leisenring

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2014-03-19T00:00:00Z

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24648408

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4059466

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