Event-weighted proportional hazards modelling for recurrent gap time data. - Wikidata - wikimedia - TriplyDB

Event-weighted proportional hazards modelling for recurrent gap time data.

Event-weighted proportional hazards modelling for recurrent gap time data.

http://www.wikidata.org/entity/Q34349081

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Additive mixed effect model for recurrent gap time data.A gap time model based on a multiplicative marginal rate function that accounts for zero-recurrence units.Semiparametric regression analysis for alternating recurrent event data.

P2860

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P2860

Event-weighted proportional hazards modelling for recurrent gap time data.

http://www.wikidata.org/entity/Q34349081

description

2012 nî lūn-bûn

@nan

2012 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

Event-weighted proportional hazards modelling for recurrent gap time data.

@ast

Event-weighted proportional hazards modelling for recurrent gap time data.

@en

Event-weighted proportional hazards modelling for recurrent gap time data.

@nl

type

label

Event-weighted proportional hazards modelling for recurrent gap time data.

@ast

Event-weighted proportional hazards modelling for recurrent gap time data.

@en

Event-weighted proportional hazards modelling for recurrent gap time data.

@nl

prefLabel

Event-weighted proportional hazards modelling for recurrent gap time data.

@ast

Event-weighted proportional hazards modelling for recurrent gap time data.

@en

Event-weighted proportional hazards modelling for recurrent gap time data.

@nl

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P1433

Statistics in Medicine

P1476

Event-weighted proportional hazards modelling for recurrent gap time data.

@en

P2093

G A Darlington

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

S N Dixon

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

P2860

Marginal analyses of clustered data when cluster size is informative.

Multiple outputation: inference for complex clustered data by averaging analyses from independent data.

Non-parametric estimation of gap time survival functions for ordered multivariate failure time data.

Modeling survival data with informative cluster size.

Marginal analysis of correlated failure time data with informative cluster sizes.

Analysis of recurrent gap time data using the weighted risk-set method and the modified within-cluster resampling method.

A joint frailty model for survival and gap times between recurrent events.

Marginal regression of multivariate event times based on linear transformation models.

Semiparametric regression analysis on longitudinal pattern of recurrent gap times.

Marginal regression of gaps between recurrent events.

P304

124-130

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scholarly article

P356

10.1002/SIM.5522

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1

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32

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2012-07-24T00:00:00Z

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22825881

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