<html><head><style type='text/css'>p { margin: 0; }</style></head><body><div style='font-family: times new roman,new york,times,serif; font-size: 12pt; color: #000000'>Caros,<div style="color: rgb(0, 0, 0); font-family: "times new roman", "new york", times, serif; font-size: 12pt;">Alguém tem acesso a algum dos artigos de uma edição especial da Biometrical Journal de julho de 2014 (Special Issue: Probability Estimation and Machine Learning, volume 56, Issue 4, pages 531-613) e poderia me enviar o PDF, por favor?</div><div style="color: rgb(0, 0, 0); font-family: "times new roman", "new york", times, serif; font-size: 12pt;">Os artigos são:</div><div><ol class="articles" style="color: rgb(0, 0, 0); font-family: Arial, "Lucida Grande", Geneva, Verdana, Helvetica, "Lucida Sans Unicode", sans-serif; font-size: 12px; margin: 0px; padding: 0px; border: 0px; outline: 0px; vertical-align: baseline; list-style: none; clear: both; line-height: 1.5em; overflow: hidden; background-image: initial; background-attachment: initial; background-color: rgb(255, 255, 255); background-size: initial; background-origin: initial; background-clip: initial; background-position: initial; background-repeat: initial;"><li style="margin: 0px; padding: 0px 0px 1em; border: 0px; outline: 0px; font-size: 1em; vertical-align: baseline; overflow: hidden; background: transparent;">1) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201400075/full">Probability estimation and machine learning—Editorial (pages 531–533)</a><o:p></o:p> Martin Schumacher<o:p></o:p> DOI: 10.1002/bimj.201400075<o:p></o:p> 2) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300077/full">Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications (pages 564–583)</a><o:p></o:p> Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. König and Andreas Ziegler<o:p></o:p> DOI: 10.1002/bimj.201300077<o:p></o:p> 3) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300218/full">What subject matter questions motivate the use of machine learning approaches compared to statistical models for probability prediction? (pages 584–587)</a><o:p></o:p> Harald Binder<o:p></o:p> DOI: 10.1002/bimj.201300218<o:p></o:p> 4) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300226/full">Machine learning versus statistical modeling (pages 588–593)</a><o:p></o:p> Anne-Laure Boulesteix and Matthias Schmid<o:p></o:p> DOI: 10.1002/bimj.201300226<o:p></o:p> 5) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300251/full">Variable selection in large margin classifier-based probability estimation with high-dimensional predictors (pages 594–596)</a><o:p></o:p> Seung Jun Shin and Yichao Wu<o:p></o:p> DOI: 10.1002/bimj.201300251<o:p></o:p> 6) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300296/full">Class probability estimation for medical studies (pages 597–600)</a><o:p></o:p> Richard Simon<o:p></o:p> DOI: 10.1002/bimj.201300296<o:p></o:p> 7) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201300297/full">Risk prediction with machine learning and regression methods (pages 601–606)</a><o:p></o:p> Ewout W. Steyerberg, Tjeerd van der Ploeg and Ben Van Calster<o:p></o:p> DOI: 10.1002/bimj.201300297<o:p></o:p> 8) <a href="http://onlinelibrary.wiley.com/doi/10.1002/bimj.201400010/full">Rejoinder (pages 607–613)</a><o:p></o:p> Andreas Ziegler<o:p></o:p> DOI: 10.1002/bimj.201400010<o:p></o:p></li></ol><div>Obrigada,</div></div><div>Mariana</div></div></body></html>