Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study

Statistical Methods in Medical Research

DOI: 10.1177/0962280216668555 Full text (OA) OpenAlex

Authors 0

Author list not loaded yet.

Cited by 7 stored of 41

Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery
2024 British Journal of Cancer article Medicine Ovarian cancer diagnosis and treatment Open access

12

citations
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm
2023 BMC Medical Research Methodology article Medicine Ovarian cancer diagnosis and treatment Open access

12

citations
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm
2023 medRxiv preprint Medicine Ovarian cancer diagnosis and treatment Open access

0

citations
Diagnostic management of acute pulmonary embolism: a prediction model based on a patient data meta-analysis
2023 European Heart Journal review Medicine Venous Thromboembolism Diagnosis and Management Open access

50

citations
There is no such thing as a validated prediction model
2023 BMC Medicine article Mathematics Statistical Methods in Epidemiology Open access

274

citations
Transparent reporting of multivariable prediction models developed or validated using clustered data (TRIPOD-Cluster): explanation and elaboration
2023 BMJ article Mathematics Statistical Methods in Epidemiology Open access

56

citations
Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study
2020 Biometrical Journal article Mathematics Statistical Methods in Epidemiology Open access

22

citations

7 results

Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study

Authors 0

Cited by 7 stored of 41

References 0