A Semiparametric Joint Model for Longitudinal and Time-to-
Event Univariate Data in Presence of Cure Fraction

QR Code

A Semiparametric Joint Model for Longitudinal and Time-to- Event Univariate Data in Presence of Cure Fraction

Many medical investigations generate both repeatedly-measured (longitudinal)biomarker and survival data. One of complex issue arises when investigating the association between longitudinal and time-to-event data when there are cured patients in the population, which leads to a plateau in the surviva...

Full description

Bibliographic Details
Main Authors:	Abu Bakar, Mohd Rizam, A. Salah, Khalid, Ibrahim, Noor Akma, Haron, Kassim
Format:	Article
Language:	English English
Published:	EuroJournals Publishing Inc. 2007
Online Access:	http://psasir.upm.edu.my/id/eprint/7671/ http://psasir.upm.edu.my/id/eprint/7671/1/A%20Semiparametric%20Joint%20Model%20for%20Longitudinal%20and%20Time.pdf

Similar Items

Bayesian approach for joint longitudinal and time-to-event data with survival fraction
by: Abu Bakar, Mohd Rizam, et al.
Published: (2009)

Joint Modelling Of Longitudinal and Survival Data in Presence of Cure Fraction with Application to Cancer Patients’ Data
by: Salah, Khalid Ali
Published: (2008)

A stochastic joint model for longitudinal and survival data with cure patients
by: Abu Bakar, Mohd Rizam, et al.
Published: (2009)

Semiparametric estimation with profile algorithm for longitudinal binary data
by: Suliadi, Suliadi, et al.
Published: (2013)

Cure fraction, modelling and estimating in a population-based cancer survival analysis
by: Abu Bakar, Mohd Rizam, et al.
Published: (2008)

GEE-smoothing spline for semiparametric estimation of longitudinal binary data
by: Suliadi,, et al.
Published: (2010)

Semiparametric binary model for clustered survival data
by: Arlin, Rifina, et al.
Published: (2014)

Gee-Smoothing Spline for Semiparametric Estimation of Longitudinal Categorical Data
by: Suliadi,
Published: (2011)

Penalized spline joint models for longitudinal and time-to-event data
by: Huong, P.T.T., et al.
Published: (2017)

A resampling method for estimating the covariance matrix in semiparametric accelerated failure time model with interval censored data
by: Karimi, Mostafa, et al.
Published: (2016)

Non-parametric estimation of cure fraction using right censored data.
by: I. Aljawadi, Bader Ahnad, et al.
Published: (2011)

A modified two-stage approach for joint modelling of longitudinal and time-to-event data
by: Pham, Thi Thu Huong, et al.
Published: (2018)

GEE-smoothing spline in semiparametric model with correlated nominal data
by: Ibrahim, Noor Akma, et al.
Published: (2010)

Non-parametric maximum likelihood estimation of cure fraction for interval survival data.
by: I. Aljawadi, Bader Ahmad, et al.
Published: (2011)

Rank estimators versus least square estimators for estimating the parameters of semiparametric accelerated failure time model
by: Karimi, Mostafa, et al.
Published: (2019)

Bayesian approach to meta-analysis with joint modelling of longitudinal and time-to-event outcomes in dementia and subtypes
by: Guure, Chris Bambey
Published: (2018)

Cure fraction model for interval censoring with a change point based on a covariate threshold
by: Taweab, Fauzia, et al.
Published: (2015)

Parametric maximum likelihood estimation of cure fraction using interval-censored data
by: Aljawadi, Bader Ahmad I., et al.
Published: (2013)

An analytical approach on parametric estimation of cure fraction based on weibull distribution using interval censored data.
by: I. Aljawadi , Bader Ahmad, et al.
Published: (2011)

Parameter estimation of the cure fraction based on BCH model using left-censored data with covariates.
by: I. Aljawadi, Bader Ahnad, et al.
Published: (2011)

Robust methods in univariate time series models
by: Whitehouse, Emily J.
Published: (2017)

Semiparametric inference procedure for the accelarated failure time model with interval-censored data
by: Karimi, Mostafa
Published: (2019)

An approximation of a multivariative stochastic model for the analysis of longitudinal data
by: Abu Bakar, Mohd Rizam, et al.
Published: (2008)

A Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: A prior sensitivity analysis
by: Thi Thu Pham, H., et al.
Published: (2020)

The effect of olivine content and curing time on the strength of treated soil in presence of potassium hydroxide
by: Fasihnikoutalab, Mohammad Hamed, et al.
Published: (2017)

Rank-based inference for the accelerated failure time model in the presence of interval censored data
by: Karimi, Mostafa, et al.
Published: (2016)

A Bayesian estimation on right censored survival data with mixture and non-mixture cured fraction model based on beta-Weibull distribution
by: Yusuf, Madaki Umar, et al.
Published: (2016)

Adjusting outliers in univariate circular data
by: Mahmood, Ehab A., et al.
Published: (2017)

Parametric and Semiparametric Competing Risks Models for Statistical Process Control with Reliability Analysis
by: Mohamed Elfaki, Faiz Ahmed
Published: (2004)

Non-mixture cure model for interval censored data: a simulation study
by: Taweab, Fauzia, et al.
Published: (2014)

Tools For Pattern Recognition In Univariate And Multivariate Processes
by: Chinna, Karuthan
Published: (2007)

Univariate approach towards cocoa price forecasting
by: Mohd. Arshad, Fatimah, et al.
Published: (1976)

Modified sequential fences for identifying univariate outliers
by: Wong, Hui Shein
Published: (2016)

A Semiparametric Stochastic Input Distance Frontier Model with Application to the Indonesian Banking Industry
by: Salim, Ruhul, et al.
Published: (2020)

Turnbull versus Kaplan-Meier estimators of cure rate estimation using interval censored data
by: Aljawadi, Bader Ahmad I., et al.
Published: (2012)

Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals
by: Guure, Chris Bambey, et al.
Published: (2017)

Cure rate models: a review of recent progress with a study of change-point cure models when cured is partially known
by: Taweab, Fauzia, et al.
Published: (2014)

A combinatory algorithm of univariate and multivariate gene selection
by: Mahmoodian, Sayed Hamid, et al.
Published: (2009)

A Study on the Performances of Univariate and Multivariate Synthetic Charts
by: Saranya, Thangarajah
Published: (2017)

Forecasting with univariate time series models : a case of export demand for Peninsular Malaysia’s moulding and chipboard.
by: Emang, Diana, et al.
Published: (2010)