MODELLING COUNTY LEVEL BREAST CANCER SURVIVAL DATA USING A COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL. - Wikidata - wikimedia - TriplyDB

MODELLING COUNTY LEVEL BREAST CANCER SURVIVAL DATA USING A COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL.

MODELLING COUNTY LEVEL BREAST CANCER SURVIVAL DATA USING A COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL.

http://www.wikidata.org/entity/Q30984615

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Generalized accelerated failure time spatial frailty model for arbitrarily censored data.Bayesian proportional hazards model with latent variables.

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P2860

MODELLING COUNTY LEVEL BREAST CANCER SURVIVAL DATA USING A COVARIATE-ADJUSTED FRAILTY PROPORTIONAL HAZARDS MODEL.

http://www.wikidata.org/entity/Q30984615

description

2015 nî lūn-bûn

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2015 թուականի Մարտին հրատարակուած գիտական յօդուած

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2015 թվականի մարտին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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name

MODELLING COUNTY LEVEL BREAST ...... TY PROPORTIONAL HAZARDS MODEL.

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The Annals of Applied Statistics

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MODELLING COUNTY LEVEL BREAST ...... TY PROPORTIONAL HAZARDS MODEL.

@en

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Alejandro Jara

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Haiming Zhou

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Jiajia Zhang

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Timothy Hanson

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P2860

Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results From the Women's Health Initiative randomized controlled trial

Recent trends in breast cancer incidence in US white women by county-level urban/rural and poverty status.

Flexible Bayesian quantile regression for independent and clustered data.

A positive stable frailty model for clustered failure time data with covariate-dependent frailty.

Spatially dependent polya tree modeling for survival data

The impact of heterogeneity in individual frailty on the dynamics of mortality.

Socioeconomic status and survival after an invasive breast cancer diagnosis.

DPpackage: Bayesian Non- and Semi-parametric Modelling in R.

Use of menopausal hormones in the United States, 1992 through June, 2003.

A class of mixtures of dependent tail-free processes.

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43-68

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scholarly article

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10.1214/14-AOAS793

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1

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9

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2015-03-01T00:00:00Z

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271019699

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26236420

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1505.02886

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4520441

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