Statistical Modelling of Intensive Care Data - Sylvie Chevret, Matthieu Resche–Rigon, Romain Pirracchio

Statistical Modelling of Intensive Care Data

Buch | Hardcover
288 Seiten
2022
Wiley-Blackwell (Verlag)
978-1-119-97926-5 (ISBN)
66,55 inkl. MwSt
This text provides both an introduction to and an advanced understanding of statistical modeling of ICU data. It addresses clinical endpoints used in ICU, such as different measures of mortality and the analysis of repeated measures.
Presents both basic and advanced methods for statistical modeling of ICU data The intensive care unit (ICU) is one of the major components of the current health care system. The complex tasks of collecting and analyzing data on performance measures are made easier when clinical information systems are available, but few clinical information systems have attempted to gather clinical information generating full reports that provide a panorama of the ICU performance and detailed data on several domains. This book presents statistical methods - with special focus on including innovative approaches - that allow handling the specificities of ICU data, enabling practitioners to conduct appropriate analyses of their own data. Organized in distinct sections which will provide both introduction and advanced understanding according to the level of the reader, this book will prove a valuable resource to either statisticians involved in ICU studies, or ICU physicians who need to model statistical data.
Erscheint lt. Verlag 15.9.2022
Reihe/Serie Statistics in Practice
Verlagsort Hoboken
Sprache englisch
Maße 152 x 229 mm
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
ISBN-10 1-119-97926-9 / 1119979269
ISBN-13 978-1-119-97926-5 / 9781119979265
Zustand Neuware
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