Simultaneously modelling censored survival data and repeatedly measured covariates: a Gibbs sampling approach.

No abstract is available for this paper.

• Publication year

  1996

• Venue

  Statistics in Medicine

• Publication date

  1996-08-15

• Fields of study

  Mathematics, Medicine

• Identifiers
  DOI 10.1002/(SICI)1097-0258(19960815)15:15<1663::AID-SIM294>3.0.CO;2-1PMID 8858789
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• Modelling progression of CD4-lymphocyte count and its relationship to survival time.

  1994cited by this paper
• A parametric family of correlation structures for the analysis of longitudinal data.

  1992cited by this paper
• Infection with human immunodeficiency virus type 1 (HIV-1) among recipients of antibody-positive blood donations.

  1990cited by this paper
• Leukocyte immunophenotyping by flow cytometry in a multisite study: standardization, quality control, and normal values in the Transfusion Safety Study. The Transfusion Safety Study Group.

  1990cited by this paper
• Prevalence of antibodies to human immunodeficiency virus type 1 among blood donors prior to screening, The Transfusion Safety Study/NHLBI Donor Repository

  1989cited by this paper
• Analysing changes in the presence of informative right censoring caused by death and withdrawal.

  1988cited by this paper
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

  1984cited by this paper
• Random-effects models for longitudinal data.

  1982cited by this paper

• A Bayesian Multilevel Joint Modeling of Longitudinal and Survival Outcomes in Cluster Randomized Controlled Trial Studies

  2026cites this paper
• Pattern Mixture Sensitivity Analyses via Multiple Imputations for Non‐Ignorable Dropout in Joint Modeling of Cognition and Risk of Dementia

  2025cites this paper
• Variational Bayesian analysis for joint models of longitudinal and failure time data with interval censoring

  2025cites this paper
• Generalized promotion time cure model: A new modeling framework to identify cell-type-specific genes and improve survival prognosis

  2025cites this paper
• Improved joint modeling of longitudinal and survival data using a poisson regression approach

  2025cites this paper
• Handbook of Statistics in Clinical Oncology

  2025cites this paper
• Joint modelling of time-to-event and longitudinal response using robust skew normal-independent distributions

  2024cites this paper
• Imputing missing not-at-random longitudinal marker values in time-to-event analysis: fully conditional specification multiple imputation in joint modeling

  2024cites this paper
• DYNAMIC RISK PREDICTION FOR CERVICAL PRECANCER SCREENING WITH CONTINUOUS AND BINARY LONGITUDINAL BIOMARKERS.

  2024cites this paper
• Bridging the gap between two‐stage and joint models: The case of tumor growth inhibition and overall survival models

  2024cites this paper
• Dynamic Prediction Using Landmark Historical Functional Cox Regression

  2024cites this paper
• DeepSurv landmarking: a deep learning approach for dynamic survival analysis with longitudinal data

  2024cites this paper
• Bayesian feature selection in joint models with application to a cardiovascular disease cohort study.

  2024cites this paper
• A joint analysis proposal of nonlinear longitudinal and time-to-event right-, interval-censored data for modeling pregnancy miscarriage

  2024cites this paper
• Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint

  2024cites this paper
• Comprehensive modelling of prostate cancer progression: integrating continuous and binary biomarkers with event time data and missing covariates

  2024cites this paper
• Flexible joint model for time-to-event and non-Gaussian longitudinal outcomes

  2024influential citation
• Studying the association between longitudinal nondense breast tissue measurements and the risk of breast cancer: a joint modeling approach

  2024cites this paper
• A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data

  2024cites this paper
• Dynamic risk score modeling for multiple longitudinal risk factors and survival

  2023cites this paper
• Bayesian joint models for multi-regional clinical trials.

  2023cites this paper
• Flexible joint models for multivariate longitudinal and time-to-event data using multivariate functional principal components

  2023cites this paper
• Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data

  2023influential citation
• Variable selection for joint models of multivariate skew-normal longitudinal and survival data

  2023cites this paper
• Studying the association between longitudinal mammographic density measurements and breast cancer risk: a joint modelling approach

  2023cites this paper
• Bayesian joint modelling of multiple longitudinal outcomes and dependent competing risks using bivariate Marshall–Olkin weibull distribution

  2023cites this paper
• Bayesian Joint Modeling Analysis of Longitudinal Proportional and Survival Data

  2023cites this paper
• Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring

  2023cites this paper
• Describing and analyzing complex disease history in retrospective studies.

  2023cites this paper
• Semiparametric normal transformation joint model of multivariate longitudinal and bivariate time‐to‐event data

  2023cites this paper
• Joint Models for Estimating Determinants of Cognitive Decline in the Presence of Survival Bias

  2022cites this paper
• Fast and flexible inference approach for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations

  2022cites this paper
• Joint clinical and socio-demographic determinants of CD4 cell count and body weight in HIV/TB co-infected adult patients on HAART

  2022cites this paper
• Bayesian analysis for partly linear Cox model with measurement error and time‐varying covariate effect

  2022cites this paper
• Investigating the Effect of Longitudinal Biomarkers on Hemodialysis Elderly Survival: A Single Central Study

  2022cites this paper
• Bayesian Arc Length Survival Analysis Model (BALSAM): Theory and Application to an HIV/AIDS Clinical Trial

  2022cites this paper
• Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations

  2022cites this paper
• Risk Prediction of Opioid Use Disorder (OUD) using Electronic Health Records

  2022cites this paper
• A Joint Model for Longitudinal and Time-to-event Data in Social and Life Course Research: Employment Status and Time to Retirement

  2021cites this paper
• A Gaussian copula joint model for longitudinal and time-to-event data with random effects

  2021cites this paper
• Missing data handling technique to determine optimum biological dose

  2021cites this paper
• A Value-of-Information Framework for Personalizing the Timing of Surveillance Testing

  2021cites this paper
• Predicting clinical events using Bayesian multivariate linear mixed models with application to scleroderma

  2021cites this paper
• Bayesian semiparametric joint modeling of longitudinal explanatory variables of mixed types and a binary outcome

  2021cites this paper
• Exploring the Dynamics of Triglyceride With Stroke Onset in the Chinese Population Through Parameterized Joint Models

  2021cites this paper
• Firm and product survival analysis: Evidence from South African tax administrative and products data

  2021cites this paper
• JOINT OUTCOME MODELING IN ENVIRONMETRICS

  2021influential citation
• Missing data handling technique in joint modeling context

  2021cites this paper
• A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity

  2021cites this paper
• A flexible link for joint modelling longitudinal and survival data accounting for individual longitudinal heterogeneity

  2021cites this paper
• Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective

  2021cites this paper
• Harmonizing Longitudinal and Survival Data Using a Joint-Modeling Framework: An Efficient Approach to Assessing Social Interventions

  2021cites this paper
• Additive hazard regression of event history studies with intermittently measured covariates

  2021cites this paper
• Flexible multivariate joint model of longitudinal intensity and binary process for medical monitoring of frequently collected data

  2021influential citation
• Characterization of direct and/or indirect genetic associations for multiple traits in longitudinal studies of disease progression

  2021cites this paper
• More than one way: exploring the capabilities of different estimation approaches to joint models for longitudinal and time-to-event outcomes

  2021cites this paper
• A two-stage approach for joint modeling of longitudinal measurements and competing risks data

  2021cites this paper
• A Comparative Study of Different Joint Modeling Approaches for HIV/AIDS Patients in Southern Iran

  2020cites this paper
• Joint modeling of longitudinal and time-to-event data with missing time-varying covariates in targeted therapy of oncology

  2020cites this paper
• Joint modelling of longitudinal and survival data in the presence of competing risks with applications to prostate cancer data

  2020cites this paper
• Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers

  2020cites this paper
• Bayesian Joint Models for Longitudinal and Survival Data

  2020cites this paper
• Joint analysis of longitudinal and interval-censored failure time data

  2020cites this paper
• Predicting the Survival of AIDS Patients Using Two Frameworks of Statistical Joint Modeling and Comparing Their Predictive Accuracy

  2020cites this paper
• Determinants of Intraocular Pressure and Time to Blindness for Glaucoma Patients at Felege Hiwot Referral Hospital, Bahir Bar, Ethiopia: A Comparison of Separate and Joint Models

  2020cites this paper
• Bayesian survival analysis with BUGS

  2020cites this paper
• Joint Modeling of a Longitudinal Measurement and Parametric Survival Data with Application to Primary Biliary Cirrhosis Study

  2020cites this paper
• Joint Modeling of Hypertension Measurements and Time-to-Onset of Preeclampsia Among Pregnant Women Attending Antenatal Care Service at Arerti Primary Hospital, North Shoa, Ethiopia

  2020cites this paper
• A Bayesian inference for the penalized spline joint models of longitudinal and time-to-event data: A prior sensitivity analysis

  2020cites this paper
• Joint models with multiple longitudinal outcomes and a time-to-event outcome: a corrected two-stage approach

  2020cites this paper
• Bayesian joint modeling of ordinal longitudinal measurements and competing risks survival data for analysing Tehran Lipid and Glucose Study

  2020cites this paper
• Improving teeth aesthetics using a spatially shared-parameters model for independent regular lattices

  2020cites this paper
• Bayesian joint modelling of longitudinal and time to event data: a methodological review

  2020cites this paper
• Joint modelling of longitudinal and time-to-event data: an illustration using CD4 count and mortality in a cohort of patients initiated on antiretroviral therapy

  2020cites this paper
• Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM

  2020cites this paper
• Revisiting methods for modeling longitudinal and survival data: Framingham Heart Study

  2020cites this paper
• Alternative subgroup joint analysis proposal of nonlinear longitudinal and time-to-event data for modeling pregnancy miscarriage

  2020cites this paper
• Joint modeling of zero-inflated longitudinal proportions and time-to-event data with application to a gut microbiome study

  2020cites this paper
• Handling missingness value on jointly measured time-course and time-to-event data

  2020cites this paper
• A joint modeling approach for longitudinal microbiome data improves ability to detect microbiome associations with disease

  2020cites this paper
• Bayesian design of clinical trials using joint models for longitudinal and time-to-event data.

  2020cites this paper
• Evaluating biomarkers for treatment selection from reproducibility studies.

  2020cites this paper
• Bayesian Joint Modeling of Skew-Positive Longitudinal-Survival Data Using Birnbaum-Saunders Distribution

  2020cites this paper
• A Two-Stage Approach for Bayesian Joint Models of Longitudinal and Survival Data: Correcting Bias with Informative Prior

  2020cites this paper
• The role of the model for end-stage liver disease-sodium score and joint models for 90-day mortality prediction in patients with acute-on-chronic liver failure.

  2020cites this paper
• Dynamic predictions in Bayesian functional joint models for longitudinal and time-to-event data: An application to Alzheimer’s disease

  2019cites this paper
• Review and Comparison of Computational Approaches for Joint Longitudinal and Time‐to‐Event Models

  2019cites this paper
• Bayesian functional joint models for multivariate longitudinal and time-to-event data

  2019cites this paper
• Bayesian Semiparametric Joint Regression Analysis of Recurrent Adverse Events and Survival in Esophageal Cancer Patients.

  2019cites this paper
• Longitudinal joint modelling utilising the Coxian phase-type distribution

  2019cites this paper
• Simultaneous Bayesian modeling of longitudinal and survival data in breast cancer patients

  2019cites this paper
• Bayesian Joint Models for Longitudinal and Multi-state Survival Data

  2019cites this paper
• Dynamic prediction of Alzheimer's disease progression using features of multiple longitudinal outcomes and time‐to‐event data

  2019cites this paper
• A joint longitudinal and survival model for dynamic treatment regimes in Presence of Competing Risk Analysis

  2019cites this paper
• A multivariate extension of the joint models

  2018cites this paper
• Dynamic prediction of recurrent events data by landmarking with application to a follow-up study of patients after kidney transplant

  2018cites this paper
• Multilevel structural equation models for the interrelationships between multiple dimensions of childhood socioeconomic circumstances, partnership stability and midlife health

  2018cites this paper
• Joint modeling of longitudinal markers and survival data: an approach via dynamic hierarchical models

  2018cites this paper
• Variable selection for partially linear proportional hazards model with covariate measurement error

  2018cites this paper
• Survival models and health sequences

  2018cites this paper