Pages that link to "Item:Q5701100"

The following pages link to Joint modelling of longitudinal measurements and event time data (Q5701100):

Displaying 50 items.

• Stochastic model for analysis of longitudinal data on aging and mortality (Q97673) (← links)
• Standardization and control for confounding in observational studies: a historical perspective (Q252802) (← links)
• A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome (Q261568) (← links)
• Joint modeling of recurrent event processes and intermittently observed time-varying binary covariate processes (Q268692) (← links)
• A new joint model of recurrent event data with the additive hazards model for the terminal event time (Q314550) (← links)
• Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
• A latent model approach to define event onset time in the presence of measurement error (Q440140) (← links)
• Semicompeting risks in aging research: methods, issues and needs (Q509854) (← links)
• Application of correlated time-to-event models to ecological momentary assessment data (Q525242) (← links)
• A hidden Markov model for informative dropout in longitudinal response data with crisis states (Q544599) (← 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)
• Missing data methods in longitudinal studies: a review (Q619079) (← links)
• A more flexible joint latent model for longitudinal and survival time data (Q626415) (← links)
• Joint modeling of failure time data with transformation model and longitudinal data when covariates are measured with errors (Q692708) (← links)
• Modeling left-truncated and right-censored survival data with longitudinal covariates (Q693732) (← links)
• A review on joint models in biometrical research (Q715804) (← links)
• Modeling clustered survival times of loblolly pine with time-dependent covariates and shared frailties (Q736736) (← links)
• A martingale residual diagnostic for longitudinal and recurrent event data (Q746012) (← links)
• Rejoinder for ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q746089) (← links)
• A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects (Q746093) (← links)
• An information-theoretic approach to surrogate-marker evaluation with failure time endpoints (Q746103) (← 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 latent process model for dementia and psychometric tests (Q953241) (← links)
• Joint modelling of multivariate longitudinal outcomes and a time-to-event: a nonlinear latent class approach (Q961251) (← links)
• Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis (Q977656) (← links)
• A corrected pseudo-score approach for additive hazards model with longitudinal covariates measured with error (Q995814) (← links)
• Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data (Q1020673) (← links)
• Initial classification of joint data in EM estimation of latent class joint model (Q1036795) (← links)
• A latent process model for joint modeling of events and marker (Q1425053) (← links)
• Semiparametric Bayesian joint models of multivariate longitudinal and survival data (Q1623585) (← links)
• Markov transition model to dementia with death as a competing event (Q1623696) (← links)
• A joint modelling of socio-professional trajectories and cause-specific mortality (Q1662085) (← links)
• Joint latent class model of survival and longitudinal data: an application to CPCRA study (Q1663190) (← 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)
• Understanding dynamic status change of hospital stay and cost accumulation via combining continuous and finitely jumped processes (Q1734420) (← links)
• Joint models: when are treatment estimates improved? (Q1748884) (← links)
• Semiparametric transformation joint models for longitudinal covariates and interval-censored failure time (Q1796937) (← links)
• Bayesian approaches for missing not at random outcome data: the role of identifying restrictions (Q1799346) (← links)
• Bayesian functional joint models for multivariate longitudinal and time-to-event data (Q1799810) (← links)
• On the proportional hazards model with last observation carried forward covariates (Q2046478) (← links)
• Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables (Q2057836) (← links)
• Joint mixture quantile regressions and time-to-event analysis (Q2083422) (← links)
• Comparison of joint modelling and landmarking approaches for dynamic prediction using bootstrap simulation (Q2089366) (← links)
• Parametric regression model based on reversed hazard rate: an application to left censored heavy tailed HIV viral load data (Q2089403) (← links)
• Accelerated failure time models for recurrent event data analysis and joint modeling (Q2095701) (← links)
• Joint modeling for longitudinal covariate and binary outcome via h-likelihood (Q2111319) (← links)
• Semiparametric latent-class models for multivariate longitudinal and survival data (Q2119239) (← links)