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pro vyhledávání: '"Tan, Toni"'
We present a novel representation of compressed data structure for simultaneous bounding volume hierarchy (BVH) traversals like they appear for instance in collision detection & proximity query. The main idea is to compress bounding volume (BV) descr
Externí odkaz:
http://arxiv.org/abs/2012.05348
Publikováno v:
Journal of Neurology, Neurosurgery & Psychiatry; Jul2024, Vol. 95 Issue 7, p671-674, 4p
Autor:
Bell, Hanan, Bettmann, Michael, Bossuyt, Patrick, Browman, George, Brozek, Jan, Bühler, Diedrich, Chou, Roger, Don-Wauchope, Andrew, Elwyn, Glyn, Garg, Amit X., Ghersi, Davina, Gion, Massimo, Glasziou, Paul, Horvath, Andrea Rita, Kopp, Ina, Krahn, Murray, Leipzig, Rosanne M., Lelgemann, Monika, Lloyd, Nancy, Maija, Saijonkari, Mäkelä, Marjukka, Mendelson, Richard, Mujoomdar, Michelle, Reed, Martin, Remedios, Denis, Santesso, Nancy, Sauerland, Stefan, Saijonkari, Maija, Steingart, Karen, Tan, Toni, Qaseem, Amir, Mustafa, Reem A., Wiercioch, Wojtek, Ventresca, Matthew, Schünemann, Holger J.
Publikováno v:
In Journal of Clinical Epidemiology December 2017 92:47-57
Publikováno v:
In Journal of Clinical Epidemiology January 2014 67(1):52-55
Publikováno v:
BMJ: British Medical Journal, 2010 Mar . 340(7748), 707-709.
Externí odkaz:
https://www.jstor.org/stable/40702667
Publikováno v:
BMJ: British Medical Journal, 2009 Mar . 338(7697), 767-769.
Externí odkaz:
https://www.jstor.org/stable/20512484
Publikováno v:
BMJ: British Medical Journal, 2008 Jul . 337(7663), 232-233.
Externí odkaz:
https://www.jstor.org/stable/20510422
Akademický článek
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Autor:
Wolff, Robert F, Moons, Karel GM, Riley, Richard D, Whiting, Penny F, Westwood, Marie, Collins, Gary S, Reitsma, Johannes B, Kleijnen, Jos, Mallett, Sue, Altman, Doug, Bossuyt, Patrick, Cook, Nancy R, D'Amico, Gennaro, Debray, Thomas PA, Deeks, Jon, De Groot, Joris, Di Angelantonio, Emanuele, Fahey, Tom, Harrell, Frank, Hayden, Jill A, Heymans, Martijn W, Hooft, Lotty, Hyde, Chris, Ioannidis, John, Iorio, Alfonso, Kaptoge, Stephen, Knottnerus, Andre, Leeflang, Mariska, Nixon, Frances, Perel, Pablo, Phillips, Bob, Raatz, Heike, Riemsma, Rob, Rovers, Maroeska, Rutjes, Anne WS, Sauerbrei, Willi, Sauerland, Stefan, Scheibler, Fueloep, Scholten, Rob, Schuit, Ewoud, Steyerberg, Ewout, Tan, Toni, Ter Riet, Gerben, Van Der Windt, Danielle, Vergouwe, Yvonne, Vickers, Andrew, Wood, Angela M, Grp, PROBAST, Grp, PROBAST Steering, Grp, PROBAST Delphi
Publikováno v:
Annals of Internal Medicine C.2, 170, 51-58
Annals of Internal Medicine, 170(1), 51-60. American College of Physicians
Annals of Internal Medicine C.2, 170, 1, pp. 51-58
2019, ' PROBAST : A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies ', Annals of Internal Medicine, vol. 170, no. 1, pp. 51-58 . https://doi.org/10.7326/M18-1376
Annals of Internal Medicine, 170(1), 51-+. American College of Physicians
Annals of Internal Medicine, 170(1), 51
Annals of Internal Medicine, 170(1), 51. American College of Physicians
Annals of Internal Medicine, 170(1), 51-60. American College of Physicians
Annals of Internal Medicine C.2, 170, 1, pp. 51-58
2019, ' PROBAST : A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies ', Annals of Internal Medicine, vol. 170, no. 1, pp. 51-58 . https://doi.org/10.7326/M18-1376
Annals of Internal Medicine, 170(1), 51-+. American College of Physicians
Annals of Internal Medicine, 170(1), 51
Annals of Internal Medicine, 170(1), 51. American College of Physicians
Prediction models in health care use predictors to estimate for an individual the probability that a condition or disease is already present (diagnostic model) or will occur in the future (prognostic model). Publications on prediction models have bec