SAS and R functions to compute pseudo-values for censored data regression.
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Instrumental variable method for time-to-event data using a pseudo-observation approach.Modeling cumulative incidence function for competing risks data.Marginal models for clustered time-to-event data with competing risks using pseudovaluesDonor and recipient CMV serostatus and outcome of pediatric allogeneic HSCT for acute leukemia in the era of CMV-preemptive therapy.Comparison of competing risks models based on cumulative incidence function in analyzing time to cardiovascular diseasesPrediction of survival with alternative modeling techniques using pseudo values.Competing risk of death: an important consideration in studies of older adults.NCI First International Workshop on the Biology, Prevention, and Treatment of Relapse after Allogeneic Hematopoietic Stem Cell Transplantation: report from the Committee on the Epidemiology and Natural History of Relapse following Allogeneic Cell TrModel-based estimation of measures of association for time-to-event outcomes.The use and interpretation of competing risks regression modelsAugmenting the logrank test in the design of clinical trials in which non-proportional hazards of the treatment effect may be anticipated.SAS macros for estimation of direct adjusted cumulative incidence curves under proportional subdistribution hazards models.A new approach to regression analysis of censored competing-risks data.Severe hyperglycemia immediately after allogeneic hematopoietic stem-cell transplantation is predictive of acute graft-versus-host diseaseAnalyzing center specific outcomes in hematopoietic cell transplantation.Checking hazard regression models using pseudo-observations.Applying competing risks regression models: an overview.Bioinformatics analysis to identify the critical genes, microRNAs and long noncoding RNAs in melanoma.Causal inference in survival analysis using pseudo-observations.A random forest approach for competing risks based on pseudo-values.Alternatives to Hazard Ratios for Comparing the Efficacy or Safety of Therapies in Noninferiority Studies.Dynamic pseudo-observations: a robust approach to dynamic prediction in competing risks.Regression modeling of the cumulative incidence function with missing causes of failure using pseudo-values.Competing mortality and fracture risk assessment.The use of restricted mean survival time to estimate the treatment effect in randomized clinical trials when the proportional hazards assumption is in doubt.GVHD after unrelated cord blood transplant in children: characteristics, severity, risk factors and influence on outcome.Meta-analysis combining parallel and crossover trials using generalised estimating equation method.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.Events per variable for risk differences and relative risks using pseudo-observations.Estimate risk difference and number needed to treat in survival analysis.The Long-Term Benefit of Liver Transplantation for Hepatic Metastases From Neuroendocrine Tumors
P2860
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P2860
SAS and R functions to compute pseudo-values for censored data regression.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
SAS and R functions to compute pseudo-values for censored data regression.
@ast
SAS and R functions to compute pseudo-values for censored data regression.
@en
type
label
SAS and R functions to compute pseudo-values for censored data regression.
@ast
SAS and R functions to compute pseudo-values for censored data regression.
@en
prefLabel
SAS and R functions to compute pseudo-values for censored data regression.
@ast
SAS and R functions to compute pseudo-values for censored data regression.
@en
P2093
P2860
P1476
SAS and R functions to compute pseudo-values for censored data regression.
@en
P2093
John P Klein
Mette Gerster
Per Kragh Andersen
Sergey Tarima
P2860
P304
P356
10.1016/J.CMPB.2007.11.017
P577
2008-01-15T00:00:00Z