The use of mixture models for the analysis of survival data with long-term survivors.
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Ornstein-Uhlenbeck threshold regression for time-to-event data with and without a cure fractionLogistic-AFT location-scale mixture regression models with nonsusceptibility for left-truncated and general interval-censored data.Zero-inflated models for regression analysis of count data: a study of growth and development.Fully semiparametric Bayesian approach for modeling survival data with cure fraction.Mixture models for quantitative HIV RNA data.Estimation of intervention effects using recurrent event time data in the presence of event dependence and a cured fraction.Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit.Assessing the prediction accuracy of cure in the Cox proportional hazards cure model: an application to breast cancer data.Flexible modelling of simultaneously interval censored and truncated time-to-event data.A model with long-term survivors for the analysis of current-status nuptiality data.Modelling geographically referenced survival data with a cure fraction.A multivariate cure model for left-censored and right-censored data with application to colorectal cancer screening patterns.Multiple imputation for cure rate quantile regression with censored data.Regression analysis of current status data in the presence of a cured subgroup and dependent censoring.Use of log-skew-normal distribution in analysis of continuous data with a discrete component at zero.A semiparametric mixture cure survival model for left-truncated and right-censored data.Cure model analysis in cancer: an application to data from the Children's Cancer Group.Disease-specific survival for limited-stage small-cell lung cancer affected by statistical method of assessmentModeling smoking cessation data with alternating states and a cure fraction using frailty models.A new threshold regression model for survival data with a cure fraction.Analysis of cure rate survival data under proportional odds model.A review of some extensions to generalized linear models.The SOMATICS collaborative: Introduction to a National Institute on Drug Abuse cooperative study of pharmacotherapy for opioid treatment in criminal justice settings.Discrete mixture modeling to address genetic heterogeneity in time-to-event regressionEstimating Cure Rates From Survival Data: An Alternative to Two-Component Mixture ModelsEFFICIENT ESTIMATION FOR AN ACCELERATED FAILURE TIME MODEL WITH A CURE FRACTION.Mixture cure model with random effects for clustered interval-censored survival data.Accelerated hazards mixture cure model.A Class of Semiparametric Mixture Cure Survival Models with Dependent Censoring.A minimum version of log-rank test for testing the existence of cancer cure using relative survival data.Flexible Cure Rate Modeling Under Latent Activation Schemes.Estimation of summary protective efficacy using a frailty mixture model for recurrent event time data.Curing myeloma at last: defining criteria and providing the evidence.Local control and toxicity in a large cohort of central lung tumors treated with stereotactic body radiation therapyQuantitative genetics of Taura syndrome resistance in Pacific white shrimp (Penaeus vannamei): a cure model approach.Using cure models and multiple imputation to utilize recurrence as an auxiliary variable for overall survival.Predicting analysis times in randomized clinical trials with cancer immunotherapyChange point-cure models with application to estimating the change-point effect of age of diagnosis among prostate cancer patients.A finite mixture survival model to characterize risk groups of neuroblastomaAnalysis of radiation pneumonitis risk using a generalized Lyman model.
P2860
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P2860
The use of mixture models for the analysis of survival data with long-term survivors.
description
1982 nî lūn-bûn
@nan
1982年の論文
@ja
1982年論文
@yue
1982年論文
@zh-hant
1982年論文
@zh-hk
1982年論文
@zh-mo
1982年論文
@zh-tw
1982年论文
@wuu
1982年论文
@zh
1982年论文
@zh-cn
name
The use of mixture models for the analysis of survival data with long-term survivors.
@ast
The use of mixture models for the analysis of survival data with long-term survivors.
@en
type
label
The use of mixture models for the analysis of survival data with long-term survivors.
@ast
The use of mixture models for the analysis of survival data with long-term survivors.
@en
prefLabel
The use of mixture models for the analysis of survival data with long-term survivors.
@ast
The use of mixture models for the analysis of survival data with long-term survivors.
@en
P356
P1433
P1476
The use of mixture models for the analysis of survival data with long-term survivors.
@en
P2093
Farewell VT
P304
P356
10.2307/2529885
P407
P577
1982-12-01T00:00:00Z