An early-biomarker algorithm predicts lethal graft-versus-host disease and survival
2018; American Society for Clinical Investigation; Volume: 3; Issue: 16 Linguagem: Inglês
10.1172/jci.insight.124015
ISSN2379-3708
AutoresMatthew J. Hartwell, Umut Özbek, Ernst Holler, Anne S. Renteria, Hannah Major-Monfried, Pavan Reddy, Mina Aziz, William J. Hogan, Francis Ayuk, Yvonne A. Efebera, Elizabeth O. Hexner, Udomsak Bunworasate, Muna Qayed, Rainer Ordemann, Matthias Wölfl, Stephan Mielke, Attaphol Pawarode, Yi‐Bin Chen, Steven M. Devine, Andrew C. Harris, Madan Jagasia, Carrie L. Kitko, Mark R. Litzow, Nicolaus Kröger, Franco Locatelli, George Morales, Ryotaro Nakamura, Ran Reshef, Wolf Rösler, Daniela Weber, Kitsada Wudhikarn, Gregory A. Yanik, John E. Levine, James L.M. Ferrara,
Tópico(s)Immune Cell Function and Interaction
ResumoIn the statistics section, the equation to generate a final prediction model from the training set was incorrect.The correct sentence is below.We then created a training set at random and repeated the entire process to generate a final model: log[-log(1 -p̂)] = -11.263+ 1.844(log10ST2) + 0.577(log10REG3α), where p̂ = predicted probability of 6-month NRM.The authors regret the error.
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