The role of frailty models and accelerated failure time models in describing heterogeneity due to omitted covariates.
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Modeling random effects for censored data by a multivariate normal regression model.A semiparametric estimate of treatment effects with censored data.A Frailty-Model-Based Method for Estimating Age-Dependent Penetrance from Family Data.Review of analytical methods for prospective cohort studies using time to event data: single studies and implications for meta-analysis.A two-part joint model for the analysis of survival and longitudinal binary data with excess zeros.Comparison of procedures to assess non-linear and time-varying effects in multivariable models for survival data.Personality facets and all-cause mortality among Medicare patients aged 66 to 102 years: a follow-on study of Weiss and Costa (2005).Family history of the cancer on the survival of the patients with gastrointestinal cancer in northern Iran, using frailty models.Low retention of HIV-infected patients on antiretroviral therapy in 11 clinical centres in West AfricaFactors associated with the time to next attack in neuromyelitis optica: accelerated failure time models with random effects.Survival analysis part IV: further concepts and methods in survival analysisCold adaptation shapes the robustness of metabolic networks in Drosophila melanogaster.The Body Mass Index-Mortality Link across the Life Course: Two Selection Biases and Their EffectsPrognostic factors for the survival of patients with esophageal cancer in Northern Iran.How serious is bias in effect estimation in randomised trials with survival data given risk heterogeneity and informative censoring?Design and analysis of time-to-pregnancy.Unobserved heterogeneity can confound the effect of education on mortality.Body size and time-to-pregnancy in black womenConsiderations in the statistical analysis of hemodialysis patient survivalA randomized, controlled, prospective trial to evaluate the haemostatic effect of Lyostypt versus Surgicel in arterial bypass anastomosis: "COBBANA" trial.Updating of covariates and choice of time origin in survival analysis: problems with vaguely defined disease states.Semiparametric bayesian analysis of accelerated failure time models with cluster structures.Optimal experimental designs for accelerated failure time with Type I and random censoring.A latent class model for competing risks.Influence of trial duration on the bias of the estimated treatment effect in clinical trials when individual heterogeneity is ignored.Detecting genetic variants for extreme aging using multiple data sources.Weibull regression with Bayesian variable selection to identify prognostic tumour markers of breast cancer survival.Bounded influence function based inference in joint modelling of ordinal partial linear model and accelerated failure time model.Drawing policy conclusions from uncontrolled studies.Considerations for analysis of time-to-event outcomes measured with error: Bias and correction with SIMEX.Multiple chronic condition profiles and survival among oldest-old male patients with hip fracture.Modeling and simulation analysis of the relationship between lesion recurrence on brain images and clinical recurrence in patients with ischemic stroke.The use of frailty hazard models for unrecognized heterogeneity that interacts with treatment: considerations of efficiency and power.A Bayesian analysis of amalgam restorations in the Royal Air Force using the counting process approach with nested frailty effects.On model prespecification in confirmatory randomized studies.Bayesian variable selection for parametric survival model with applications to cancer omics data
P2860
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P2860
The role of frailty models and accelerated failure time models in describing heterogeneity due to omitted covariates.
description
1997 nî lūn-bûn
@nan
1997 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
1997 թվականի հունվարին հրատարակված գիտական հոդված
@hy
1997年の論文
@ja
1997年論文
@yue
1997年論文
@zh-hant
1997年論文
@zh-hk
1997年論文
@zh-mo
1997年論文
@zh-tw
1997年论文
@wuu
name
The role of frailty models and ...... ity due to omitted covariates.
@ast
The role of frailty models and ...... ity due to omitted covariates.
@en
The role of frailty models and ...... ity due to omitted covariates.
@nl
type
label
The role of frailty models and ...... ity due to omitted covariates.
@ast
The role of frailty models and ...... ity due to omitted covariates.
@en
The role of frailty models and ...... ity due to omitted covariates.
@nl
prefLabel
The role of frailty models and ...... ity due to omitted covariates.
@ast
The role of frailty models and ...... ity due to omitted covariates.
@en
The role of frailty models and ...... ity due to omitted covariates.
@nl
P2093
P1476
The role of frailty models and ...... ity due to omitted covariates.
@en
P2093
P304
P356
10.1002/(SICI)1097-0258(19970130)16:2<215::AID-SIM481>3.0.CO;2-J
P407
P577
1997-01-01T00:00:00Z