Analysing multicentre competing risks data with a mixed proportional hazards model for the subdistribution.
about
Investigating hospital heterogeneity with a multi-state frailty model: application to nosocomial pneumonia disease in intensive care unitsAge and organ damage correlate with poor survival in myeloma patients: meta-analysis of 1435 individual patient data from 4 randomized trials.A semiparametric random effects model for multivariate competing risks data.Estimating twin concordance for bivariate competing risks twin data.Analysis of clustered competing risks data using subdistribution hazard models with multivariate frailties.Variable selection in subdistribution hazard frailty models with competing risks data.Frailty modeling for clustered competing risks data with missing cause of failure.Hierarchical likelihood inference on clustered competing risks data.Methods for generating paired competing risks dataMarginal models for clustered time-to-event data with competing risks using pseudovaluesCompeting risks regression for stratified data.A competing risks model for correlated data based on the subdistribution hazard.Competing risks regression for clustered data.Tumours of the thymus: a cohort study of prognostic factors from the European Society of Thoracic Surgeons database.On cross-odds ratio for multivariate competing risks data.Safety of thalidomide in newly diagnosed elderly myeloma patients: a meta-analysis of data from individual patients in six randomized trials.Hierarchical models for semi-competing risks data with application to quality of end-of-life care for pancreatic cancerImportance of arterial stiffness as cardiovascular risk factor for future development of new type of drugs.Centre characteristics and procedure-related factors have an impact on outcomes of allogeneic transplantation for patients with CLL: a retrospective analysis from the European Society for Blood and Marrow Transplantation (EBMT).The impact of age on complications, survival, and cause of death following colon cancer surgery.Estimating and testing for center effects in competing risks.HLA-E polymorphisms in hematopoietic stem cell transplantation.Applying a marginalized frailty model to competing risks
P2860
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P2860
Analysing multicentre competing risks data with a mixed proportional hazards model for the subdistribution.
description
2006 nî lūn-bûn
@nan
2006 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
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name
Analysing multicentre competin ...... model for the subdistribution.
@ast
Analysing multicentre competin ...... model for the subdistribution.
@en
type
label
Analysing multicentre competin ...... model for the subdistribution.
@ast
Analysing multicentre competin ...... model for the subdistribution.
@en
prefLabel
Analysing multicentre competin ...... model for the subdistribution.
@ast
Analysing multicentre competin ...... model for the subdistribution.
@en
P50
P356
P1476
Analysing multicentre competin ...... model for the subdistribution.
@en
P304
P356
10.1002/SIM.2684
P407
P577
2006-12-01T00:00:00Z