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pro vyhledávání: '"Debray TPA"'
In recent years, there has been a growing interest in the prediction of individualized treatment effects. While there is a rapidly growing literature on the development of such models, there is little literature on the evaluation of their performance
Externí odkaz:
http://arxiv.org/abs/2209.06101
Autor:
Hoogland, J, IntHout, J, Belias, M, Rovers, MM, Riley, RD, Harrell Jr, FE, Moons, KGM, Debray, TPA, Reitsma, JB
Randomized trials typically estimate average relative treatment effects, but decisions on the benefit of a treatment are possibly better informed by more individualized predictions of the absolute treatment effect. In case of a binary outcome, these
Externí odkaz:
http://arxiv.org/abs/2106.05588
Autor:
Nijman, SWJ, Leeuwenberg, AM, Beekers, I, Verkouter, I, Jacobs, JJL, Bots, ML, Asselbergs, FW, Moons, KGM, Debray, TPA
Publikováno v:
In Journal of Clinical Epidemiology February 2022 142:218-229
Personalized medicine constitutes a growing area of research that benefits from the many new developments in statistical learning. A key domain concerns the prediction of individualized treatment effects, and models for this purpose are increasingly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b6482fe6659df8bf85d21e0fbd1dae5
http://arxiv.org/abs/2209.06101
http://arxiv.org/abs/2209.06101
Publikováno v:
Statistics in Medicine. 40:4230-4251
In prediction model research, external validation is needed to examine an existing model's performance using data independent to that for model development. Current external validation studies often suffer from small sample sizes and consequently imp
Autor:
Clare J Taylor, Vazquez-Montes Mdla., Nicholas R Jones, Emmanuella Magriplis, Hugo Maruri-Aguilar, J Parissis, Hobbs Fdrr., Marialena Trivella, Kathryn Mary Taylor, Moons Kgm., Gary S. Collins, Rafael Perera, Debray Tpa., Kadoglou Npe., Benjamin Speich, Nia Roberts
Publikováno v:
Diagnostic and Prognostic Research, Vol 4, Iss 1, Pp 1-9 (2020)
Diagnostic and Prognostic Research
Diagnostic and Prognostic Research
BackgroundHeart failure (HF) is a chronic and common condition with a rising prevalence, especially in the elderly. Morbidity and mortality rates in people with HF are similar to those with common forms of cancer. Clinical guidelines highlight the ne
Small-study effects are a common threat in systematic reviews and may indicate publication bias. Their existence is often verified by visual inspection of the funnel plot. Formal tests to assess the presence of funnel plot asymmetry typically estimat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::e63ef77758f15fd770f318b88347e599
Autor:
Gopalakrishna, G, Langendam, M, Scholten, R, Bossuyt, P, Leeflang, M, Noel-Storr, A, Thomas, J, Marshall, I, Wallace, B, Whiting, P, Davenport, C, GopalaKrishna, G, De Salis, I, Mallett, S, Wolff, R, Riley, R, Westwood, M, Kleinen, J, Collins, G, Reitsma, H, Moons, K, Zapf, A, Hoyer, A, Kramer, K, Kuss, O, Ensor, J, Deeks, JJ, Martin, EC, Riley, RD, Rücker, G, Steinhauser, S, Schumacher, M, Snell, K, Willis, B, Debray, T, Deeks, J, Di Ruffano, LF, Taylor-Phillips, S, Hyde, C, Taylor, SA, Batnagar, G, STREAMLINE COLON Investigators, STREAMLINE LUNG Investigators, METRIC Investigators, Seedat, F, Clarke, A, Byron, S, Nixon, F, Albrow, R, Walker, T, Deakin, C, Zhelev, Z, Hunt, H, Yang, Y, Abel, L, Buchanan, J, Fanshawe, T, Shinkins, B, Wynants, L, Verbakel, J, Van Huffel, S, Timmerman, D, Van Calster, B, Zwinderman, A, Oke, J, O'Sullivan, J, Perera, R, Nicholson, B, Bromley, HL, Roberts, TE, Francis, A, Petrie, D, Mann, GB, Malottki, K, Smith, H, Billingham, L, Sitch, A, Gerke, O, Holm-Vilstrup, M, Segtnan, EA, Halekoh, U, Høilund-Carlsen, PF, Francq, BG, Dinnes, J, Parkes, J, Gregory, W, Hewison, J, Altman, D, Rosenberg, W, Selby, P, Asselineau, J, Perez, P, Paye, A, Bessede, E, Proust-Lima, C, Naaktgeboren, C, De Groot, J, Rutjes, A, Reitsma, J, Ogundimu, E, Cook, J, Le Manach, Y, Vergouwe, Y, Pajouheshnia, R, Groenwold, R, Peelen, L, Nieboer, D, De Cock, B, Pencina, MJ, Steyerberg, EW, Cooper, J, Parsons, N, Stinton, C, Smith, S, Dickens, A, Jordan, R, Enocson, A, Fitzmaurice, D, Adab, P, Boachie, C, Vidmar, G, Freeman, K, Connock, M, Court, R, Moons, C, Harris, J, Mumford, A, Plummer, Z, Lee, K, Reeves, B, Rogers, C, Verheyden, V, Angelini, GD, Murphy, GJ, Huddy, J, Ni, M, Good, K, Cooke, G, Hanna, G, Ma, J, Moons, KGMC, De Groot, JAH, Altman, DG, Reitsma, JB, Collins, GS, Moons, KGM, Kamarudin, AN, Kolamunnage-Dona, R, Cox, T, Borsci, S, Pérez, T, Pardo, MC, Candela-Toha, A, Muriel, A, Zamora, J, Sanghera, S, Mohiuddin, S, Martin, R, Donovan, J, Coast, J, Seo, MK, Cairns, J, Mitchell, E, Smith, A, Wright, J, Hall, P, Messenger, M, Calder, N, Wickramasekera, N, Vinall-Collier, K, Lewington, A, Damen, J, Cairns, D, Hutchinson, M, Sturgeon, C, Mitchel, L, Kift, R, Christakoudi, S, Rungall, M, Mobillo, P, Montero, R, Tsui, T-L, Kon, SP, Tucker, B, Sacks, S, Farmer, C, Strom, T, Chowdhury, P, Rebollo-Mesa, I, Hernandez-Fuentes, M, Damen, JAAG, Debray, TPA, Heus, P, Hooft, L, Scholten, RJPM, Schuit, E, Tzoulaki, I, Lassale, CM, Siontis, GCM, Chiocchia, V, Roberts, C, Schlüssel, MM, Gerry, S, Black, JA, Van der Schouw, YT, Peelen, LM, Spence, G, McCartney, D, Van den Bruel, A, Lasserson, D, Hayward, G, Vach, W, De Jong, A, Burggraaff, C, Hoekstra, O, Zijlstra, J, De Vet, H, Graziadio, S, Allen, J, Johnston, L, O'Leary, R, Power, M, Johnson, L, Waters, R, Simpson, J, Fanshawe, TR, Phillips, P, Plumb, A, Helbren, E, Halligan, S, Gale, A, Sekula, P, Sauerbrei, W, Forman, JR, Dutton, SJ, Takwoingi, Y, Hensor, EM, Nichols, TE, Kempf, E, Porcher, R, De Beyer, J, Hopewell, S, Dennis, J, Shields, B, Jones, A, Henley, W, Pearson, E, Hattersley, A, MASTERMIND consortium, Scheibler, F, Rummer, A, Sturtz, S, Großelfinger, R, Banister, K, Ramsay, C, Azuara-Blanco, A, Burr, J, Kumarasamy, M, Bourne, R, Uchegbu, I, Murphy, J, Carter, A, Marti, J, Eatock, J, Robotham, J, Dudareva, M, Gilchrist, M, Holmes, A, Monaghan, P, Lord, S, StJohn, A, Sandberg, S, Cobbaert, C, Lennartz, L, Verhagen-Kamerbeek, W, Ebert, C, Horvath, A, Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine, Jenniskens, K, Peters, J, Grigore, B, Ukoumunne, O, Levis, B, Benedetti, A, Levis, AW, Ioannidis, JPA, Shrier, I, Cuijpers, P, Gilbody, S, Kloda, LA, McMillan, D, Patten, SB, Steele, RJ, Ziegelstein, RC, Bombardier, CH, Osório, FDL, Fann, JR, Gjerdingen, D, Lamers, F, Lotrakul, M, Loureiro, SR, Löwe, B, Shaaban, J, Stafford, L, Van Weert, HCPM, Whooley, MA, Williams, LS, Wittkampf, KA, Yeung, AS, Thombs, BD, Cooper, C, Nieto, T, Smith, C, Tucker, O, Dretzke, J, Beggs, A, Rai, N, Bayliss, S, Stevens, S, Mallet, S, Sundar, S, Hall, E, Porta, N, Estelles, DL, De Bono, J, CTC-STOP protocol development group
Publikováno v:
2017, ' Erratum to : Methods for evaluating medical tests and biomarkers ', Diagnostic and Prognostic Research, vol. 1, pp. 11 . https://doi.org/10.1186/s41512-017-0011-4
Diagnostic and Prognostic Research
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
Diagnostic and Prognostic Research, Vol 1, Iss 1, Pp 1-5 (2017)
Diagnostic and Prognostic Research
Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid
Consejería de Sanidad de la Comunidad de Madrid
Diagnostic and Prognostic Research, Vol 1, Iss 1, Pp 1-5 (2017)
[This corrects the article DOI: 10.1186/s41512-016-0001-y.].
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eca9a3ed8f84b654ba7f094c70321ac
https://hdl.handle.net/1983/016f428e-8ba3-4257-b578-4c40867a625c
https://hdl.handle.net/1983/016f428e-8ba3-4257-b578-4c40867a625c
Autor:
Debray, TPA, Koffijberg, H, Nieboer, Daan, Vergouwe, Yvonne, Steyerberg, Ewout, Moons, KGM (Karel)
Publikováno v:
Statistics in Medicine, 33(14), 2341-2362. John Wiley & Sons Ltd.
Published clinical prediction models are often ignored during the development of novel prediction models despite similarities in populations and intended usage. The plethora of prediction models that arise from this practice may still perform poorly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::e5fb8f297d01f3dc89c76353ac3ad2e4
https://pure.eur.nl/en/publications/3804eb96-f899-490c-a238-acaa7f03123b
https://pure.eur.nl/en/publications/3804eb96-f899-490c-a238-acaa7f03123b
Autor:
Hoogland J; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.; Epidemiology and Data Science, Amsterdam University Medical Center, Amsterdam, The Netherlands., Efthimiou O; Institute of Primary Health Care (BIHAM), University of Bern, Bern, Switzerland.; Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland., Nguyen TL; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Debray TPA; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.; Smart Data Analysis and Statistics B.V., Utrecht, The Netherlands.
Publikováno v:
Statistics in medicine [Stat Med] 2024 Oct 15; Vol. 43 (23), pp. 4481-4498. Date of Electronic Publication: 2024 Aug 01.