Pages that link to "Item:Q3441350"
From MaRDI portal
The following pages link to Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events (Q3441350):
Displaying 50 items.
- Stochastic model for analysis of longitudinal data on aging and mortality (Q97673) (← links)
- Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
- An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data (Q614171) (← links)
- Missing data methods in longitudinal studies: a review (Q619079) (← links)
- Semiparametric proportional means model for marker data contingent on recurrent event (Q746038) (← links)
- A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects (Q746093) (← links)
- Analysis of longitudinal and survival data: joint modeling, inference methods, and issues (Q764437) (← links)
- Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data (Q830615) (← links)
- A corrected pseudo-score approach for additive hazards model with longitudinal covariates measured with error (Q995814) (← links)
- Approaches for event history analysis based on complex longitudinal survey data (Q1621249) (← links)
- Markov transition model to dementia with death as a competing event (Q1623696) (← links)
- Penalized likelihood approach for simultaneous analysis of survival time and binary longitudinal outcome (Q1698208) (← links)
- Joint modeling of survival time and longitudinal outcomes with flexible random effects (Q1698947) (← links)
- Estimating a unitary effect summary based on combined survival and quantitative outcomes (Q1800122) (← links)
- On the proportional hazards model with last observation carried forward covariates (Q2046478) (← links)
- Semiparametric latent-class models for multivariate longitudinal and survival data (Q2119239) (← links)
- Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers (Q2195902) (← links)
- Survival models and health sequences (Q2274641) (← links)
- Regression analysis of interval-censored failure time data with time-dependent covariates (Q2291291) (← links)
- Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time (Q2368849) (← links)
- An overview of semiparametric models in survival analysis (Q2454018) (← links)
- Analysis of joint multiple failure mode and linear degradation data with renewals (Q2455706) (← links)
- Functional approach of flexibly modelling generalized longitudinal data and survival time (Q2474384) (← links)
- Non-parametric estimation from simultaneous renewal -- failure -- degradation data with competing risks (Q2583813) (← links)
- Partly conditional estimation of the effect of a time-dependent factor in the presence of dependent censoring (Q2846440) (← links)
- A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis (Q2931059) (← links)
- Joint modeling of multivariate censored longitudinal and event time data with application to the Genetic Markers of Inflammation Study (Q2953281) (← links)
- The Evaluation of Multiple Surrogate Endpoints (Q3078684) (← links)
- A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data (Q3079019) (← links)
- Comparison of imputation methods for interval censored time-to-event data in joint modelling of tree growth and mortality (Q3174224) (← links)
- The Cox Proportional Hazards Model with a Continuous Latent Variable Measured by Multiple Binary Indicators (Q3379260) (← links)
- Assessing importance of biomarkers: A Bayesian joint modelling approach of longitudinal and survival data with semi-competing risks (Q3389290) (← links)
- Diagnostics for Joint Longitudinal and Dropout Time Modeling (Q3433198) (← links)
- Optimal Estimator for the Survival Distribution and Related Quantities for Treatment Policies in Two‐Stage Randomization Designs in Clinical Trials (Q3435671) (← links)
- Shared Frailty Models for Recurrent Events and a Terminal Event (Q3445299) (← links)
- Joint Modeling of Longitudinal and Survival Data via a Common Frailty (Q3445328) (← links)
- Joint model of multiple longitudinal measures and a binary outcome: An application to predict orthostatic hypertension for subacute stroke patients (Q3451379) (← links)
- Simultaneous variable selection for joint models of longitudinal and survival outcomes (Q3465745) (← links)
- Semiparametric Approaches for Joint Modeling of Longitudinal and Survival Data with Time-Varying Coefficients (Q3506506) (← links)
- A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types (Q3530092) (← links)
- Analysis of Longitudinal Data in the Presence of Informative Observational Times and a Dependent Terminal Event, with Application to Medical Cost Data (Q3530120) (← links)
- A Bayesian Semiparametric Survival Model with Longitudinal Markers (Q3576919) (← links)
- Latent Variable Modelling: A Survey* (Q3608238) (← links)
- Variable selection for partially linear proportional hazards model with covariate measurement error (Q4613971) (← links)
- Real‐Time Individual Predictions of Prostate Cancer Recurrence Using Joint Models (Q4919589) (← links)
- Nonparametric Two-Sample Tests of Longitudinal Data with Termination Events (Q4921658) (← links)
- A joint survival-longitudinal modelling approach for the dynamic prediction of rehospitalization in telemonitored chronic heart failure patients (Q4970806) (← links)
- Joint modelling of longitudinal binary data and survival data (Q5034178) (← links)
- Joint modeling of censored longitudinal and event time data (Q5128883) (← links)
- Joint modelling of longitudinal biomarker and gap time between recurrent events: copula-based dependence (Q5130307) (← links)
