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Snell, KIE, Levis, B, Damen, JAA, Dhiman, P, Debray, TPA, Hooft, L, Reitsma, JB, Moons, KGM, Collins, GS and Riley, RD
ORCID: https://orcid.org/0000-0001-8699-0735
(2023)
Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA).
BMJ, 381.
e073538 - ?.
Dhiman, P, Ma, J, Andaur Navarro, CL, Speich, B, Bullock, G, Damen, JAA, Hooft, L, Kirtley, S, Riley, RD
ORCID: https://orcid.org/0000-0001-8699-0735, Van Calster, B, Moons, KGM and Collins, GS
(2022)
Risk of bias of prognostic models developed using machine learning: a systematic review in oncology.
Diagnostic and Prognostic Research, 6 (1).
13 - ?.
Dhiman, P, Ma, J, Andaur Navarro, CL, Speich, B, Bullock, G, Damen, JAA, Hooft, L, Kirtley, S, Riley, RD
ORCID: https://orcid.org/0000-0001-8699-0735, Van Calster, B, Moons, KGM and Collins, GS
(2022)
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.
BMC Medical Research Methodology, 22 (1).
101 - ?.
Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R
ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD
ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM and Hooft, L
(2022)
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review.
BMC Medical Research Methodology, 22 (1).
12 - ?.
Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R, Riley, RD
ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM and Hooft, L
(2021)
Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.
BMJ, 375.
n2281 - ?.
Andaur Navarro, CL, Damen, JAA, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R
ORCID: https://orcid.org/0000-0002-1227-2703, Riley, RD
ORCID: https://orcid.org/0000-0001-8699-0735, Moons, KGM and Hooft, L
(2021)
Completeness of reporting of clinical prediction models developed using supervised machine learning: A systematic review.
arXiv.org.
(Unpublished)

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