Calculating the sample size required for developing a clinical prediction model

1.3kCitations
Citations of this article
1.4kReaders
Mendeley users who have this article in their library.

References Powered by Scopus

Regression Shrinkage and Selection Via the Lasso

35675Citations
N/AReaders
Get full text

Regularization and variable selection via the elastic net

13099Citations
N/AReaders
Get full text

Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors

8081Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Prediction models for diagnosis and prognosis of covid-19: Systematic review and critical appraisal

2138Citations
N/AReaders
Get full text

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

256Citations
N/AReaders
Get full text

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

237Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Riley, R. D., Ensor, J., Snell, K. I. E., Harrell, F. E., Martin, G. P., Reitsma, J. B., … Van Smeden, M. (2020). Calculating the sample size required for developing a clinical prediction model. The BMJ, 368. https://doi.org/10.1136/bmj.m441

Readers over time

‘20‘21‘22‘23‘24‘25080160240320

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 402

54%

Researcher 220

30%

Professor / Associate Prof. 66

9%

Lecturer / Post doc 51

7%

Readers' Discipline

Tooltip

Medicine and Dentistry 359

68%

Nursing and Health Professions 72

14%

Engineering 48

9%

Mathematics 46

9%

Article Metrics

Tooltip
Mentions
News Mentions: 12
Social Media
Shares, Likes & Comments: 232

Save time finding and organizing research with Mendeley

Sign up for free
0