:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hannah Klinkhammer, Christian Staerk, Carlo Maj, Peter M. Krawitz, Andreas Mayr
Format:	Artículo Open Access
Published:	Wiley 2024
Subjects:	Statistics in Medicine
Online Access:	https://onlinelibrary.wiley.com/doi/10.1002/sim.10249
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting gene-environment interactions to guide personalized intervention: boosting distributional regression for polygenic scores
by: Wu, Qiong, 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)

Random Survival Forest With Multiple Imputation Analysis for Case‐Cohort and Generalized Case‐Cohort Studies
by: Haolin Li, et al.
Published: (2025)

Analysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling
by: Alessandro Gasparini, 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)

An Efficient Estimation Method for Additive Subdistribution Hazards Model With Left‐Truncated Competing Risks Data Under the Case‐Cohort Study Design
by: Xi Fang, et al.
Published: (2025)

A Seamless Design for the Combination of a Case–Control and a Cohort Diagnostic Accuracy Study
by: Eric Bibiza‐Freiwald, et al.
Published: (2025)

Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)

The Harms of Class Imbalance Corrections for Machine Learning Based Prediction Models: A Simulation Study
by: Alex Carriero, et al.
Published: (2025)

Bayesian Modeling of Cancer Outcomes Using Genetic Variables Assisted by Pathological Imaging Data
by: Yunju Im, et al.
Published: (2025)

Deep Neural Network‐Based Accelerated Failure Time Models Using Rank Loss
by: Gwangsu Kim, et al.
Published: (2024)

Instability of the AUROC of Clinical Prediction Models
by: Florian D. van Leeuwen, et al.
Published: (2025)

Overview and Practical Recommendations on Using Shapley Values for Identifying Predictive Biomarkers via CATE Modeling
by: David Svensson, et al.
Published: (2026)

Gaussian Process Regression for Value‐Censored Functional and Longitudinal Data
by: Adam Gorm Hoffmann, et al.
Published: (2025)

Validation of a Risk‐Prediction Model in the Presence of Outcome Misclassification
by: Runjia Zou, et al.
Published: (2026)

To Explain, to Predict, or to Describe: Figuring out the Study Goal [Commentary on “On the Uses and Abuses of Regression Models” by Carlin and Moreno‐Betancur]
by: Galit Shmueli
Published: (2025)

Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies
by: Dadong Zhang, et al.
Published: (2024)

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
by: Yuanyuan Luan, et al.
Published: (2026)

Multilevel Longitudinal Functional Principal Component Model
by: Wenyi Lin, et al.
Published: (2024)

Dynamic Single‐Index Scalar‐On‐Function Model
by: Yiwei Li, et al.
Published: (2025)

Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
by: Chenxi Li, et al.
Published: (2025)

A Modification to Two‐Stage Least Squares With Genetic Applications
by: Lei Fang, et al.
Published: (2025)

An Efficient Two‐Dimensional Functional Mixed‐Effect Model Framework for Repeatedly Measured Functional Data
by: Cheng Cao, et al.
Published: (2025)

Combining Missing Data Imputation and Internal Validation in Clinical Risk Prediction Models
by: Junhui Mi, et al.
Published: (2025)

Variant‐Specific Mendelian Risk Prediction Model
by: Julie‐Alexia Dias, et al.
Published: (2025)

An Augmented Approach for Regression Analysis of Case‐Cohort Interval‐Censored Failure Time Data
by: Yichen Lou, et al.
Published: (2025)

Model Validation for Survival Analysis by Smoothed Predictive Likelihood
by: Chengyuan Lu, et al.
Published: (2025)

A Personalized Predictive Model That Jointly Optimizes Discrimination and Calibration
by: Tatiana Krikella, et al.
Published: (2025)

Modelling and Predicting Population‐Level Growth With Individual‐Level Information
by: Tuuli Kauppala, et al.
Published: (2026)

Bayesian Estimation of Partial Functional Tobit Censored Quantile Regression Model
by: Chunjie Wang, et al.
Published: (2025)

Maximal Local Privacy Loss—A New Method for Privacy Evaluation of Synthetic Datasets
by: Sigrid Leithe, et al.
Published: (2026)

Performance of Cross‐Validated Targeted Maximum Likelihood Estimation
by: Matthew J. Smith, et al.
Published: (2025)

A Multi‐Phenotype Approach to Joint Testing of Main Genetic and Gene‐Environment Interaction Effects
by: Saurabh Mishra, et al.
Published: (2025)

Expected Value of Sample Information Calculations for Risk Prediction Model Development
by: Abdollah Safari, et al.
Published: (2026)

Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime
by: Kaidi Kong, et al.
Published: (2025)

Testing for the Functional Form of a Continuous Covariate in the Shared‐Parameter Joint Model
by: Xavier Piulachs, et al.
Published: (2025)

Specification of Estimands for Complex Disease Processes Using Multistate Models and Utility Functions
by: Alexandra Bühler, et al.
Published: (2025)

Modeling Chronic Disease Mortality by Methods From Accelerated Life Testing
by: Marina Zamsheva, et al.
Published: (2024)

Jointly Modeling Time‐To‐Event and Longitudinal Data With Individual‐Specific Change Points: A Case Study in Modeling Tumor Burden
by: Ethan M. Alt, et al.
Published: (2025)

A Variance Estimator for Marginal Cox Regression Models Fit to Non‐Nested Multilevel Data
by: Peter C. Austin
Published: (2025)