4.5 Article

Dynamic risk score modeling for multiple longitudinal risk factors and survival

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Statistics & Probability

Evaluating Association Between Two Event Time Observations Subject to informative Censoring

Dongdong Li et al.

Summary: This article focuses on evaluating the association between two event times without specifying the joint distribution parametrically. The presence of informative censoring due to a terminating event, such as death, makes this task particularly challenging. The authors propose a method that links the joint distribution of the two event times and the informative censoring time using a nested copula function. They also use flexible functional forms to specify the covariate effects on both the marginal and joint distributions. The proposed approach estimates the association parameters, marginal survival functions, and covariate effects in a semiparametric model for the bivariate event time.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2023)

Article Computer Science, Interdisciplinary Applications

A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data

James Murray et al.

Summary: This article presents an approximate EM algorithm to address the computational challenges caused by the increased dimensionality and complexity of multivariate joint models. The scalability and accuracy of the proposed method are demonstrated through simulation studies and application to clinical trial data in the fields of cirrhosis and Alzheimer's disease, each with three biomarkers.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2022)

Article Gastroenterology & Hepatology

North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition Position Paper on the Diagnosis and Management of Pediatric Acute Liver Failure

James E. Squires et al.

Summary: Pediatric acute liver failure is a rare and rapidly progressing clinical syndrome that requires multidisciplinary collaboration for treatment. Implementing an age-based diagnostic approach, identifying potential underlying causes, and promptly initiating appropriate therapy can save the lives of affected children.

JOURNAL OF PEDIATRIC GASTROENTEROLOGY AND NUTRITION (2022)

Article Statistics & Probability

Assessing predictive discrimination performance of biomarkers in the presence of treatment-induced dependent censoring

Cuihong Zhang et al.

Summary: In this study, a method was proposed to address the issue of dependent censoring for the survival outcome of interest by utilizing auxiliary information from multiple longitudinal risk factors. Through adopting the joint modelling framework, estimators for sensitivity, specificity, and area under curve were developed, effectively removing the disturbance caused by dependent censoring.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2022)

Article Health Care Sciences & Services

Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copula

Takeshi Emura et al.

STATISTICAL METHODS IN MEDICAL RESEARCH (2020)

Article Computer Science, Interdisciplinary Applications

Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data

Pete Philipson et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2020)

Article Mathematics, Interdisciplinary Applications

An Overview of Joint Modeling of Time-to-Event and Longitudinal Outcomes

Grigorios Papageorgiou et al.

ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 6 (2019)

Article Mathematical & Computational Biology

A Bayesian joint model of recurrent events and a terminal event

Zheng Li et al.

BIOMETRICAL JOURNAL (2019)

Article Health Care Sciences & Services

Personalized dynamic prediction of death according to tumour progression and high-dimensional genetic factors: Meta-analysis with a joint model

Takeshi Emura et al.

STATISTICAL METHODS IN MEDICAL RESEARCH (2018)

Article Health Care Sciences & Services

joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes

Graeme L. Hickey et al.

BMC MEDICAL RESEARCH METHODOLOGY (2018)

Article Gastroenterology & Hepatology

A Learning Collaborative Approach Increases Specificity of Diagnosis of Acute Liver Failure in Pediatric Patients

Michael R. Narkewicz et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2018)

Article Computer Science, Interdisciplinary Applications

Semiparametric regression analysis of clustered survival data with semi-competing risks

Mengjiao Peng et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2018)

Article Computer Science, Interdisciplinary Applications

Joint models for multiple longitudinal processes and time-to-event outcome

Lili Yang et al.

JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION (2016)

Review Gastroenterology & Hepatology

Prognostic modeling in pediatric acute liver failure

Vandana Jain et al.

LIVER TRANSPLANTATION (2016)

Article Statistics & Probability

Analysis of the Proportional Hazards Model With Sparse Longitudinal Covariates

Hongyuan Cao et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2015)

Article Statistics & Probability

JM: AnRPackage for the Joint Modelling of Longitudinal and Time-to-Event Data

Dimitris Rizopoulos

Journal of Statistical Software (2015)

Article Mathematical & Computational Biology

Joint modeling of two longitudinal outcomes and competing risk data

Eleni-Rosalina Andrinopoulou et al.

STATISTICS IN MEDICINE (2014)

Article Computer Science, Interdisciplinary Applications

Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule

Dimitris Rizopoulos

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2012)

Article Mathematics, Interdisciplinary Applications

A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects

Xin Huang et al.

LIFETIME DATA ANALYSIS (2011)

Article Mathematical & Computational Biology

A Bayesian semiparametric multivariate joint model for multiple longitudinal outcomes and a time-to-event

Dimitris Rizopoulos et al.

STATISTICS IN MEDICINE (2011)

Article Statistics & Probability

Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data

Dimitris Rizopoulos et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2009)

Article Mathematical & Computational Biology

A Bayesian approach to joint analysis of longitudinal measurements and competing risks failure time data

Wenhua Hu et al.

STATISTICS IN MEDICINE (2009)

Article Gastroenterology & Hepatology

Evaluation of a Scoring System for Assessing Prognosis in Pediatric Acute Liver Failure

Brandy R. Lu et al.

CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2008)

Article Mathematical & Computational Biology

Joint modelling of longitudinal and competing risks data

P. R. Williamson et al.

STATISTICS IN MEDICINE (2008)

Article Biology

A frailty model for informative censoring

XL Huang et al.

BIOMETRICS (2002)

Article Mathematical & Computational Biology

Maximum likelihood estimation in the joint analysis of time-to-event and multiple longitudinal variables

HQ Lin et al.

STATISTICS IN MEDICINE (2002)

Article Statistics & Probability

Jointly modeling longitudinal and event time data with application to acquired immunodeficiency syndrome

Y Wang et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)