Cargando…

Bayesian inference for Cox proportional hazard models with partial likelihoods, nonlinear covariate effects and correlated observations

We propose a flexible and scalable approximate Bayesian inference methodology for the Cox Proportional Hazards model with partial likelihood. The model we consider includes nonlinear covariate effects and correlated survival times. The proposed method is based on nested approximations and adaptive q...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Ziang, Stringer, Alex, Brown, Patrick, Stafford, Jamie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Original Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814026/ https://www.ncbi.nlm.nih.gov/pubmed/36317395 http://dx.doi.org/10.1177/09622802221134172

Ejemplares similares

A Bayesian Approach for the Cox Proportional Hazards Model with Covariates Subject to Detection Limit
por: Chen, Qingxia, et al.
Publicado: (2014)

Survival Prediction Based on Compound Covariate under Cox Proportional Hazard Models
por: Emura, Takeshi, et al.
Publicado: (2012)

Generating survival times to simulate Cox proportional hazards models with time-varying covariates
por: Austin, Peter C
Publicado: (2012)

A calibrated Bayesian method for the stratified proportional hazards model with missing covariates
por: Kim, Soyoung, et al.
Publicado: (2022)

Generating Survival Times Using Cox Proportional Hazards Models with Cyclic and Piecewise Time-Varying Covariates
por: Huang, Yunda, et al.
Publicado: (2020)

Tests for the proportional hazards assumption in the Cox model
por: Reiersølmoen, L, et al.
Publicado: (2001)

Bayesian Inference on Proportional Elections
por: Brunello, Gabriel Hideki Vatanabe, et al.
Publicado: (2015)

Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study
por: Marshall, Andrea, et al.
Publicado: (2010)

Using fractional polynomials and restricted cubic splines to model non‐proportional hazards or time‐varying covariate effects in the Cox regression model
por: Austin, Peter C., et al.
Publicado: (2021)

Corrected likelihood for proportional hazards measurement error model and its application.
por: Nakamura, T, et al.
Publicado: (1994)

Likelihood and Bayesian inference: with applications in biology and medicine
por: Held, Leonhard, et al.
Publicado: (2020)

On Cox proportional hazards model performance under different sampling schemes
por: Samawi, Hani, et al.
Publicado: (2023)

Comparing Smoothing Techniques for Fitting the Nonlinear Effect of Covariate in Cox Models
por: Roshani, Daem, et al.
Publicado: (2016)

A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model
por: Sun, Na, et al.
Publicado: (2022)

Trend-constrained corrected score for proportional hazards model with covariate measurement error
por: Zhu, Ming, et al.
Publicado: (2015)

Comparison of Cox proportional hazards regression and generalized Cox regression models applied in dementia risk prediction
por: Goerdten, Jantje, et al.
Publicado: (2020)

Novel Harmonic Regularization Approach for Variable Selection in Cox's Proportional Hazards Model
por: Chu, Ge-Jin, et al.
Publicado: (2014)

Quasi-linear Cox proportional hazards model with cross- L(1) penalty
por: Omae, Katsuhiro, et al.
Publicado: (2020)

Detecting prognostic biomarkers of breast cancer by regularized Cox proportional hazards models
por: Li, Lingyu, et al.
Publicado: (2021)

An augmented likelihood approach for the Cox proportional hazards model with interval-censored auxiliary and validated outcome data—with application to the Hispanic Community Health Study/Study of Latinos
por: Boe, Lillian A, et al.
Publicado: (2023)

Cox models with time‐varying covariates and partly‐interval censoring–A maximum penalised likelihood approach
por: Webb, Annabel, et al.
Publicado: (2022)

Assessing violations of the proportional hazards assumption in Cox regression: does the chosen method matter?
por: Hiller, Louise, et al.
Publicado: (2015)

Relaxing the independent censoring assumption in the Cox proportional hazards model using multiple imputation
por: Jackson, Dan, et al.
Publicado: (2014)

Survival time prediction by integrating cox proportional hazards network and distribution function network
por: Baek, Eu-Tteum, et al.
Publicado: (2021)

The Optimal Machine Learning-Based Missing Data Imputation for the Cox Proportional Hazard Model
por: Guo, Chao-Yu, et al.
Publicado: (2021)

Effect of regional medical disparities on complications in patients with hypertension: Cox’s proportional hazard models
por: Yun, Choa, et al.
Publicado: (2023)

Evaluation of instrumental variable method using Cox proportional hazard model in epidemiological studies
por: Uddin, Md. Jamal, et al.
Publicado: (2023)

Information criteria for Firth's penalized partial likelihood approach in Cox regression models
por: Nagashima, Kengo, et al.
Publicado: (2017)

Statistical power to detect violation of the proportional hazards assumption when using the Cox regression model
por: Austin, Peter C.
Publicado: (2017)

Accurate training of the Cox proportional hazards model on vertically-partitioned data while preserving privacy
por: Kamphorst, Bart, et al.
Publicado: (2022)

Predicting completion of clinical trials in pregnant women: Cox proportional hazard and neural network models
por: Kim, Bomee, et al.
Publicado: (2021)

Combining symbolic regression with the Cox proportional hazards model improves prediction of heart failure deaths
por: Wilstrup, Casper, et al.
Publicado: (2022)

FPGA acceleration of the phylogenetic likelihood function for Bayesian MCMC inference methods
por: Zierke, Stephanie, et al.
Publicado: (2010)

Bayesian analysis for partly linear Cox model with measurement error and time‐varying covariate effect
por: Pan, Anqi, et al.
Publicado: (2022)

Testing the proportional hazards assumption in cox regression and dealing with possible non-proportionality in total joint arthroplasty research: methodological perspectives and review
por: Kuitunen, Ilari, et al.
Publicado: (2021)

Investigation of the affective factors on the survival rate of patients with laryngeal cancer using Cox proportional hazards and Lin -Ying’s additive hazards models
por: Zarei, Masoud, et al.
Publicado: (2021)

Extension of Cox Proportional Hazard Model for Estimation of Interrelated Age-Period-Cohort Effects on Cancer Survival
por: Mdzinarishvili, Tengiz, et al.
Publicado: (2011)

A Flexible Alternative to the Cox Proportional Hazards Model for Assessing the Prognostic Accuracy of Hospice Patient Survival
por: Miladinovic, Branko, et al.
Publicado: (2012)

Moving beyond the Cox proportional hazards model in survival data analysis: a cervical cancer study
por: Li, Lixian, et al.
Publicado: (2020)

Reasons why osteoarthritis predicts mortality: path analysis within a Cox proportional hazards model
por: Wilkie, Ross, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_f9jv8eb812rflhlgbqasmpmhpu