Area of research
Molecular Biology · Statistics and Probability
Research interest
Research interests include Gene expression and cancer classification, Statistical Methods and Inference, Bioinformatics and Genomic Networks, and Statistical Methods in Clinical Trials.
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study
Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges
Stereotactic radiosurgery versus whole-brain radiotherapy in patients with 4–10 brain metastases: A nonrandomized controlled trial
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
Planning preclinical confirmatory multicenter trials to strengthen translation from basic to clinical research – a multi-stakeholder workshop report
MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy
A plea for taking all available clinical information into account when assessing the predictive value of omics data
Combining clinical and molecular data in regression prediction models: insights from a simulation study
Independent validation of a new reirradiation risk score (RRRS) for glioma patients predicting post-recurrence survival: A multicenter DKTK/ROG analysis
Mediation analysis reveals common mechanisms of RUNX1 point mutations and RUNX1/RUNX1T1 fusions influencing survival of patients with acute myeloid leukemia
Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications
Cross-study validation for the assessment of prediction algorithms
On stability issues in deriving multivariable regression models