Model Validation for Survival Analysis by Smoothed Predictive Likelihood
Fuente:
Wiley Open Access
Saved in:
| Main Authors: | Chengyuan Lu, Hein Putter, Mar Rodríguez Girondo, Jelle J. Goeman |
|---|---|
| Format: | Artículo Open Access |
| Published: |
Wiley
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Penalized Reduced Rank Regression for Multi‐Outcome Survival Data Supports a Common Metabolic Risk Score for Age‐Related Diseases
by: Marije H. Sluiskes, et al.
Published: (2025)
by: Marije H. Sluiskes, et al.
Published: (2025)
Smooth Hazards With Multiple Time Scales
by: Angela Carollo, et al.
Published: (2024)
by: Angela Carollo, et al.
Published: (2024)
Doubly Robust Estimation of Marginal Cumulative Incidence Curves for Competing Risk Analysis
by: Patrick van Hage, et al.
Published: (2025)
by: Patrick van Hage, et al.
Published: (2025)
An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis
by: Noorie Hyun, et al.
Published: (2025)
by: Noorie Hyun, et al.
Published: (2025)
An Overview and Recent Developments in the Analysis of Multistate Processes
by: Malka Gorfine, et al.
Published: (2026)
by: Malka Gorfine, et al.
Published: (2026)
Performance of Cross‐Validated Targeted Maximum Likelihood Estimation
by: Matthew J. Smith, et al.
Published: (2025)
by: Matthew J. Smith, et al.
Published: (2025)
Multiple Imputation of Missing Covariates When Using the Fine–Gray Model
by: Edouard F. Bonneville, et al.
Published: (2025)
by: Edouard F. Bonneville, et al.
Published: (2025)
Analyzing Coarsened and Missing Data by Imputation Methods
by: Lars L. J. van der Burg, et al.
Published: (2025)
by: Lars L. J. van der Burg, et al.
Published: (2025)
Accommodating the Analysis Model in Multiple Imputation for the Weibull Mixture Cure Model: Performance Under Penalized Likelihood
by: Changchang Xu, et al.
Published: (2026)
by: Changchang Xu, et al.
Published: (2026)
Likelihood Confidence Intervals for Misspecified Cox Models
by: Yongwu Shao, et al.
Published: (2026)
by: Yongwu Shao, et al.
Published: (2026)
Validation of a Risk‐Prediction Model in the Presence of Outcome Misclassification
by: Runjia Zou, et al.
Published: (2026)
by: Runjia Zou, et al.
Published: (2026)
Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis
by: Xingdong Feng, et al.
Published: (2026)
by: Xingdong Feng, et al.
Published: (2026)
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis
by: Xialing Wen, et al.
Published: (2025)
by: Xialing Wen, et al.
Published: (2025)
Model‐Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
by: Xuan Wang, et al.
Published: (2025)
by: Xuan Wang, et al.
Published: (2025)
Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models
by: Junhui Mi, et al.
Published: (2025)
by: Junhui Mi, et al.
Published: (2025)
Meta‐Analysis of Median Survival Times With Inverse‐Variance Weighting
by: Sean McGrath, et al.
Published: (2026)
by: Sean McGrath, et al.
Published: (2026)
Sieve Maximum Likelihood Estimation of Partially Linear Transformation Models With Interval‐Censored Data
by: Changhui Yuan, et al.
Published: (2024)
by: Changhui Yuan, et al.
Published: (2024)
A Novel Stratified Analysis Method for Testing and Estimating Overall Treatment Effects on Time‐To‐Event Outcomes Using Average Hazard With Survival Weight
by: Zihan Qian, et al.
Published: (2025)
by: Zihan Qian, et al.
Published: (2025)
Information‐Based Composite Likelihood Method for Hybrid Meta‐Analysis Integrating Individual Participant Data and Aggregated Data
by: Guoqing Diao, et al.
Published: (2026)
by: Guoqing Diao, et al.
Published: (2026)
Confidence Intervals for AUC and pAUC by Empirical Likelihood
by: Yumin Zhao, et al.
Published: (2025)
by: Yumin Zhao, et al.
Published: (2025)
Mediation Analysis With Bayesian Nonlinear Joint Models: Evaluation of the Treatment Causal Pathways Between Tumor Growth Kinetics and Overall Survival
by: Georgios Kazantzidis, et al.
Published: (2026)
by: Georgios Kazantzidis, et al.
Published: (2026)
Covariate‐Adjusted Group Sequential Comparisons of Survival Probabilities
by: Peter Zhang, et al.
Published: (2025)
by: Peter Zhang, et al.
Published: (2025)
Improved Centile Estimation by Transformation And/Or Adaptive Smoothing of the Explanatory Variable
by: R. A. Rigby, et al.
Published: (2026)
by: R. A. Rigby, et al.
Published: (2026)
Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies
by: Haolin Li, et al.
Published: (2025)
by: Haolin Li, et al.
Published: (2025)
Likelihood ratio combination of multiple biomarkers via smoothing spline estimated densities
by: Zhiyuan Du, et al.
Published: (2024)
by: Zhiyuan Du, et al.
Published: (2024)
Bayesian Empirical Likelihood Regression for Semiparametric Estimation of Optimal Dynamic Treatment Regimes
by: Weichang Yu, et al.
Published: (2024)
by: Weichang Yu, et al.
Published: (2024)
Random Survival Forest for Censored Functional Data
by: Giuseppe Loffredo, et al.
Published: (2025)
by: Giuseppe Loffredo, et al.
Published: (2025)
On Window Mean Survival Time With Interval‐Censored Data
by: Takuto Iijima, et al.
Published: (2026)
by: Takuto Iijima, et al.
Published: (2026)
Generalized Estimating Equations for Survival Data With Dependent Censoring
by: Lili Yu, et al.
Published: (2024)
by: Lili Yu, et al.
Published: (2024)
Adaptive Sparsening and Smoothing of the Treatment Model for Longitudinal Causal Inference Using Outcome‐Adaptive LASSO and Marginal Fused LASSO
by: Mireille E. Schnitzer, et al.
Published: (2026)
by: Mireille E. Schnitzer, et al.
Published: (2026)
Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time‐To‐Event Outcomes
by: Denis Talbot, et al.
Published: (2025)
by: Denis Talbot, et al.
Published: (2025)
Bayesian Spatial Relative Survival Model to Estimate the Loss in Life Expectancy and Crude Probability of Death for Cancer Patients
by: Yuliya Leontyeva, et al.
Published: (2025)
by: Yuliya Leontyeva, et al.
Published: (2025)
A Functional Joint Model for Survival and Multivariate Sparse Functional Data in Multi‐Cohort Alzheimer's Disease Study
by: Wenyi Wang, et al.
Published: (2026)
by: Wenyi Wang, et al.
Published: (2026)
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”
Published: (2025)
Published: (2025)
Time‐Varying Hormonal Treatment and Metastasis‐Free Survival Among ER+ Breast Cancer Patients: A Natural History Modelling Approach
by: Letizia Orsini, et al.
Published: (2026)
by: Letizia Orsini, et al.
Published: (2026)
Permutation Tests Based on the Copula‐Graphic Estimator and Their Use for Survival Tree Construction
by: Pauline Baur, et al.
Published: (2026)
by: Pauline Baur, et al.
Published: (2026)
Instability of the AUROC of Clinical Prediction Models
by: Florian D. van Leeuwen, et al.
Published: (2025)
by: Florian D. van Leeuwen, et al.
Published: (2025)
Flexible Modeling of Time‐Dependent Covariate Effects in Survival Models With Correlated Competing Risks: Application to the Evaluation of Risk‐Reducing Salpingo‐Oophorectomy in Women With BRCA1 Pathogenic Variants
by: Seungwoo Lee, et al.
Published: (2026)
by: Seungwoo Lee, et al.
Published: (2026)
Partially Linear Additive Quantile Regression: Theory and Applications to Breast Cancer Patients' Survival
by: Xinyi Zhao, et al.
Published: (2026)
by: Xinyi Zhao, et al.
Published: (2026)
Using Quadratic Programming to Reconstruct Data From Published Survival and Competing Risks Analyses
by: Andrew C. Titman
Published: (2026)
by: Andrew C. Titman
Published: (2026)
Similar Items
-
Penalized Reduced Rank Regression for Multi‐Outcome Survival Data Supports a Common Metabolic Risk Score for Age‐Related Diseases
by: Marije H. Sluiskes, et al.
Published: (2025) -
Smooth Hazards With Multiple Time Scales
by: Angela Carollo, et al.
Published: (2024) -
Doubly Robust Estimation of Marginal Cumulative Incidence Curves for Competing Risk Analysis
by: Patrick van Hage, et al.
Published: (2025) -
An Augmented Likelihood Approach Incorporating Error‐Prone Auxiliary Data Into a Survival Analysis
by: Noorie Hyun, et al.
Published: (2025) -
An Overview and Recent Developments in the Analysis of Multistate Processes
by: Malka Gorfine, et al.
Published: (2026)