Pages that link to "Item:Q5701164"
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The following pages link to An estimator for the proportional hazards model with multiple longitudinal covariates measured with error (Q5701164):
Displaying 45 items.
- Stochastic model for analysis of longitudinal data on aging and mortality (Q97673) (← links)
- A semiparametric copula method for Cox models with covariate measurement error (Q268675) (← links)
- The joint model of the logistic model and linear random effect model -- an application to predict orthostatic hypertension for subacute stroke patients (Q452723) (← links)
- Semiparametric maximum likelihood estimation in Cox proportional hazards model with covariate measurement errors (Q604641) (← links)
- An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data (Q614171) (← links)
- A review on joint models in biometrical research (Q715804) (← links)
- Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches (Q746087) (← links)
- Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data (Q830615) (← links)
- ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors (Q962387) (← links)
- A corrected pseudo-score approach for additive hazards model with longitudinal covariates measured with error (Q995814) (← links)
- Semiparametric Bayesian joint models of multivariate longitudinal and survival data (Q1623585) (← links)
- Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland (Q1658153) (← links)
- Semiparametric Bayesian analysis of transformation linear mixed models (Q1749995) (← links)
- A new joint model for longitudinal and survival data with a cure fraction (Q1882932) (← links)
- Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables (Q2057836) (← links)
- A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data (Q2129581) (← links)
- A corrected likelihood method for the proportional hazards model with covariates subject to measurement error (Q2370463) (← links)
- Joint modeling of longitudinal and survival data with the Cox model and two-phase sampling (Q2397797) (← links)
- Analysis of joint multiple failure mode and linear degradation data with renewals (Q2455706) (← links)
- The proportional hazards model with covariate measurement error (Q2573513) (← links)
- Non-parametric estimation from simultaneous renewal -- failure -- degradation data with competing risks (Q2583813) (← links)
- A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error (Q2775639) (← links)
- Locally efficient semiparametric estimators for proportional hazards models with measurement error (Q2815598) (← links)
- Multivariate \(t\) linear mixed models for irregularly observed multiple repeated measures with missing outcomes (Q2857484) (← links)
- Modelling Survival Events with Longitudinal Covariates Measured with Error (Q2864667) (← links)
- Approximate nonparametric corrected-score method for joint modeling of survival and longitudinal data measured with error (Q3013940) (← links)
- On Estimating the Relationship between Longitudinal Measurements and Time-to-Event Data Using a Simple Two-Stage Procedure (Q3064295) (← links)
- Estimation of the Asymptotic Variance of Semiparametric Maximum Likelihood Estimators in the Cox Model with a Missing Time-Dependent Covariate (Q3155332) (← links)
- Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients (Q3451379) (← links)
- Semiparametric Approaches for Joint Modeling of Longitudinal and Survival Data with Time-Varying Coefficients (Q3506506) (← links)
- Variable selection for partially linear proportional hazards model with covariate measurement error (Q4613971) (← links)
- A review of multivariate longitudinal data analysis (Q4924352) (← links)
- Proportional Hazards Model With Covariate Measurement Error and Instrumental Variables (Q4975633) (← links)
- Multivariate <i>t</i> semiparametric mixed-effects model for longitudinal data with multiple characteristics (Q5033950) (← links)
- Joint models for multiple longitudinal processes and time-to-event outcome (Q5221561) (← links)
- An extended hazard model with longitudinal covariates (Q5247438) (← links)
- An improved corrected score estimator for the proportional hazards model with time-dependent covariates measured with error at informative observation times (Q5278093) (← links)
- Joint Models for Multivariate Longitudinal and Multivariate Survival Data (Q5492081) (← links)
- A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival (Q5715353) (← links)
- On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error (Q5717151) (← links)
- Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error (Q6059508) (← links)
- Estimation in multivariate linear mixed models for longitudinal data with multiple outputs: Application to PBCseq data analysis (Q6068487) (← links)
- Multivariate linear mixed models with censored and nonignorable missing outcomes, with application to AIDS studies (Q6068837) (← links)
- Discrete-time survival data with longitudinal covariates (Q6617385) (← links)
- Bayesian analysis for partly linear Cox model with measurement error and time-varying covariate effect (Q6629318) (← links)