Johannes B. Reitsma

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

2024 · 1.839 Zit. · BMJ

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement

2015 · 848 Zit. · British journal of surgery

Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence

2021 · 778 Zit. · BMJ Open

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD)

2015 · 759 Zit. · Circulation

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

2022 · 472 Zit. · npj Digital Medicine

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

2015 · 443 Zit. · European Urology

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

2025 · 299 Zit. · BMJ

Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement

2018 · 151 Zit. · BMC Medicine

Individual Participant Data (IPD) Meta-analyses of Diagnostic and Prognostic Modeling Studies: Guidance on Their Use

2015 · 126 Zit. · PLoS Medicine

STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

2022 · 54 Zit. · Вопросы современной педиатрии

Performance of binary prediction models in high-correlation low-dimensional settings: a comparison of methods

2022 · 33 Zit. · Diagnostic and Prognostic Research

SPIN-PM: a consensus framework to evaluate the presence of spin in studies on prediction models

2024 · 10 Zit. · Journal of Clinical Epidemiology

Comparing methods addressing multi-collinearity when developing\n prediction models

2021 · 4 Zit. · arXiv (Cornell University)

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation

2025 · 4 Zit. · The Ewha Medical Journal

Adherence to TRIPOD+AI guideline: an updated reporting assessment tool

2025 · 3 Zit. · Journal of Clinical Epidemiology