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Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

http://www.wikidata.org/entity/Q30489721

about

Complete hazard ranking to analyze right-censored data: An ALS survival study.

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P2860

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

http://www.wikidata.org/entity/Q30489721

description

2016 nî lūn-bûn

@nan

2016 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2016 թվականի օգոստոսին հրատարակված գիտական հոդված

@hy

2016年の論文

@ja

2016年論文

@yue

2016年論文

@zh-hant

2016年論文

@zh-hk

2016年論文

@zh-mo

2016年論文

@zh-tw

2016年论文

@wuu

name

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

@ast

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

@en

type

label

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

@ast

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

@en

prefLabel

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

@ast

Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

@en

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JOURNAL.PONE.0161135

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Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science

@en

P2093

Daniel Urda

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

Emilio Alba

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

José Luis Subirats

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

José Manuel Jerez

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

Julio Montes-Torres

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

Leonardo Franco

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

Nuria Ribelles

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

P2860

OASIS: online application for the survival analysis of lifespan assays performed in aging research

Nonparametric Estimation from Incomplete Observations

Note on the sampling error of the difference between correlated proportions or percentages

An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients.

Evaluation of survival data and two new rank order statistics arising in its consideration.

Covariance analysis of censored survival data.

PROGgene: gene expression based survival analysis web application for multiple cancers.

Hazard rate estimation under random censoring with varying kernels and bandwidths.

Artificial neural networks predict survival from pancreatic cancer after radical surgery.

A SAS macro for direct adjusted survival curves based on Aalen's additive model.

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e0161135

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scholarly article

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10.1371/JOURNAL.PONE.0161135

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8

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11

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2016-08-17T00:00:00Z

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27532883

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4988664

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