Search results - ORA - Oxford University Research Archive

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1

Journal article

Understanding overfitting in random forest for probability estimation: a visualization and simulation study

Barreñada, L, Dhiman, P, Timmerman, D, et al.
2024-09-27

2

Journal article

Calculating the power of a planned individual participant data meta‐analysis to examine prognostic factor effects for a binary outcome

Whittle, R, Ensor, J, Hattle, M, et al.
2024-07-24

3

Journal article

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

Collins, GS, Moons, KGM, Dhiman, P, et al.
2024-04-16

4

Journal article

The rate of nonunion in the MRI-detected occult scaphoid fracture: a multicentre cohort study

Dean, BJF, Riley, N, Little, C, et al.
2024-04-01

5

Journal article

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models

Andaur Navarro, CL, Damen, JAA, van Smeden, M, et al.
2022-11-24

6

Journal article

Systematic review highlights high risk of bias of clinical prediction models for blood transfusion in patients undergoing elective surgery

Dhiman, P, Ma, J, Gibbs, VN, et al.
2023-05-06

7

Journal article

Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review

Dhiman, P, Ma, J, Andaur Navarro, CL, et al.
2023-03-17

8

Journal article

Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA)

Snell, KIE, Levis, B, Damen, JAA, et al.
2023-05-03

9

Journal article

Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review

Dhiman, P, Ma, J, Qi, C, et al.
2023-08-19

10

Journal article

Systematic review finds "spin" practices and poor reporting standards in studies on machine learning-based prediction models

Andaur Navarro, CL, Damen, JAA, Takada, T, et al.
2023-04-04

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