Pages that link to "Item:Q961251"
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The following pages link to Joint modelling of multivariate longitudinal outcomes and a time-to-event: a nonlinear latent class approach (Q961251):
Displaying 24 items.
- A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits (Q62047) (← links)
- Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule (Q425636) (← links)
- Assessing the association between trends in a biomarker and risk of event with an application in pediatric HIV/AIDS (Q985033) (← 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)
- Dynamic optimal strategy for monitoring disease recurrence (Q1933980) (← links)
- Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables (Q2057836) (← 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)
- Multivariate longitudinal data analysis with mixed effects hidden Markov models (Q2803508) (← links)
- A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretation (Q2857488) (← links)
- A latent variable approach to study gene-environment interactions in the presence of multiple correlated exposures (Q2912342) (← links)
- A Bayesian Two-Part Latent Class Model for Longitudinal Medical Expenditure Data: Assessing the Impact of Mental Health and Substance Abuse Parity (Q3008887) (← links)
- Joint model with latent state for longitudinal and multistate data (Q3165545) (← links)
- Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach (Q3305046) (← links)
- Joint Analysis of Time‐to‐Event and Multiple Binary Indicators of Latent Classes (Q3435665) (← links)
- Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model (Q3561796) (← links)
- Regularized Latent Class Model for Joint Analysis of High‐Dimensional Longitudinal Biomarkers and a Time‐to‐Event Outcome (Q5214445) (← links)
- A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers (Q6068288) (← links)
- Joint modeling for longitudinal and interval-censored survival data: application to IMPI multi-center HIV/AIDS clinical trial (Q6547612) (← links)
- Describing complex disease progression using joint latent class models for multivariate longitudinal markers and clinical endpoints (Q6626929) (← links)
- Backward joint model and dynamic prediction of survival with multivariate longitudinal data (Q6628473) (← links)
- Incorporating longitudinal biomarkers for dynamic risk prediction in the era of big data: a pseudo-observation approach (Q6629825) (← links)
- Classification algorithm for high-dimensional protein markers in time-course data (Q6629887) (← links)
