Multi-state model for studying an intermediate event using time-dependent covariates: application to breast cancer.
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A model-informed rank test for right-censored data with intermediate states.Nonparametric estimation of the survival function for ordered multivariate failure time data: A comparative study.Modelling environmental drivers of black band disease outbreaks in populations of foliose corals in the genus Montipora.A systematic model specification procedure for an illness-death model without recovery.Survival Analysis of Breast Cancer Patients after Surgery with an Intermediate Event: Application of Illness-Death ModelAnalysis of Survival Data: Challenges and Algorithm-Based Model Selection.The time-dependent "cure-death" model investigating two equally important endpoints simultaneously in trials treating high-risk patients with resistant pathogens.Parity and mortality in cases of childhood-onset diabetes mellitus.Using multiple timescale models for the evaluation of a time-dependent treatment.A Comprehensive Multistate Model Analyzing Associations of Various Risk Factors With the Course of Breast Cancer in a Population-Based Cohort of Breast Cancer Cases.Potential clinical relevance of uPA and PAI-1 levels in node-negative, postmenopausal breast cancer patients bearing histological grade II tumors with ER/PR expression, during an early follow-up.Diabetes and number of years of life lost with and without cardiovascular disease: a multi-state homogeneous semi-Markov model.Assessing the effect of a partly unobserved, exogenous, binary time-dependent covariate on survival probabilities using generalised pseudo-values.
P2860
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P2860
Multi-state model for studying an intermediate event using time-dependent covariates: application to breast cancer.
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Multi-state model for studying ...... application to breast cancer.
@ast
Multi-state model for studying ...... application to breast cancer.
@en
Multi-state model for studying ...... application to breast cancer.
@nl
type
label
Multi-state model for studying ...... application to breast cancer.
@ast
Multi-state model for studying ...... application to breast cancer.
@en
Multi-state model for studying ...... application to breast cancer.
@nl
prefLabel
Multi-state model for studying ...... application to breast cancer.
@ast
Multi-state model for studying ...... application to breast cancer.
@en
Multi-state model for studying ...... application to breast cancer.
@nl
P2860
P356
P1476
Multi-state model for studying ...... application to breast cancer.
@en
P2093
Carolina Meier-Hirmer
Martin Schumacher
P2860
P2888
P356
10.1186/1471-2288-13-80
P577
2013-06-20T00:00:00Z
P5875
P6179
1009062936