Showing 1 - 20 results of 26 for search 'Moons KGM', query time: 0.03s
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On the aggregation of published prognostic scores for causal inference in observational studies by Nguyen, T-L, Collins, GS, Pellegrini, F, Moons, KGM, Debray, TPA
Published 2020Journal article -
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Transparent reporting of multivariable prediction models in journal and conference abstracts: TRIPOD for abstracts by Heus, P, Reitsma, JB, Collins, GS, Damen, JAAG, Scholten, RJPM, Altman, DG, Moons, KGM, Hooft, L
Published 2020Journal article -
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Calculating the sample size required for developing a clinical prediction model by Riley, RD, Ensor, J, Snell, KIE, Harrell, FE, Martin, GP, Reitsma, JB, Moons, KGM, Collins, G, van Smeden, M
Published 2020Journal article -
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PROBAST: A tool to assess the risk of bias and applicability of prediction model studies by Wolff, RF, Moons, KGM, Riley, RD, Whiting, PF, Westwood, M, Collins, GS, Reitsma, JB, Kleijnen, J, Mallett, S, Probast Group
Published 2019Journal article -
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Transparent reporting of multivariable prediction models for individual prognosis or diagnosis: checklist for systematic reviews and meta-analyses (TRIPOD-SRMA) by Snell, KIE, Levis, B, Damen, JAA, Dhiman, P, Debray, TPA, Hooft, L, Reitsma, JB, Moons, KGM, Collins, GS, Riley, RD
Published 2023Journal article -
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TRIPOD statement: a preliminary pre-post analysis of reporting and methods of prediction models by Zamanipoor Najafabadi, AH, Ramspek, CL, Dekker, FW, Heus, P, Hooft, L, Moons, KGM, Peul, WC, Collins, GS, Steyerberg, EW, van Diepen, M
Published 2020Journal article -
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Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models by Andaur Navarro, CL, Damen, JAA, van Smeden, M, Takada, T, Nijman, SWJ, Dhiman, P, Ma, J, Collins, GS, Bajpai, R, Riley, RD, Moons, KGM, Hooft, L
Published 2022Journal article -
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Risk of bias of prognostic models developed using machine learning: a systematic review in oncology by Dhiman, P, Ma, J, Andaur Navarro, CL, Speich, B, Bullock, G, Damen, JAA, Hooft, L, Kirtley, S, Riley, RD, Van Calster, B, Moons, KGM, Collins, GS
Published 2022Journal article -
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Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review by Dhiman, P, Ma, J, Andaur Navarro, CL, Speich, B, Bullock, G, Damen, JAA, Hooft, L, Kirtley, S, Riley, RD, Van Calster, B, Moons, KGM, Collins, GS
Published 2022Journal article -
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Interim PET‐results for prognosis in adults with Hodgkin lymphoma: A systematic review and meta‐analysis of prognostic factor studies by Aldin, A, Umlauff, L, Estcourt, LJ, Collins, G, Moons, KGM, Engert, A, Kobe, C, von Tresckow, B, Haque, M, Foroutan, F, Kreuzberger, N, Trivella, M, Skoetz, N
Published 2020Journal article -
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Evaluation of clinical prediction models (part 1): from development to external validation by Collins, GS, Dhiman, P, Ma, J, Schlussel, MM, Archer, L, Van Calster, B, Harrell, FE, Martin, GP, Moons, KGM, van Smeden, M, Sperrin, M, Bullock, GS, Riley, RD
Published 2024Journal article -
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Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed by Levis, B, Snell, KIE, Damen, JAA, Hattle, M, Ensor, J, Dhiman, P, Andaur Navarro, CL, Takwoingi, Y, Whiting, PF, Debray, TPA, Reitsma, JB, Moons, KGM, Collins, GS, Riley, RD
Published 2023Journal article