Distributions of Autocorrelated First-Order Kinetic Outcomes: Illness Severity
نویسندگان
چکیده
منابع مشابه
Correction: Distributions of Autocorrelated First-Order Kinetic Outcomes: Illness Severity
Many complex systems produce outcomes having recurring, power law-like distributions over wide ranges. However, the form necessarily breaks down at extremes, whereas the Weibull distribution has been demonstrated over the full observed range. Here the Weibull distribution is derived as the asymptotic distribution of generalized first-order kinetic processes, with convergence driven by autocorre...
متن کاملSeverity of Illness Online
The Société Française d’Anesthesie et de Réanimation have provided an extremely useful online severity-of-illness calculator, for critically ill and preoperative patients. The site presents about 40 scoring systems in two groups, adult and pediatric, which are subdivided into general and specialized scores. This provides access to a comprehensive directory of severity-of-illness scoring systems...
متن کاملEfficient Low-Order Approximation of First-Passage Time Distributions.
We consider the problem of computing first-passage time distributions for reaction processes modeled by master equations. We show that this generally intractable class of problems is equivalent to a sequential Bayesian inference problem for an auxiliary observation process. The solution can be approximated efficiently by solving a closed set of coupled ordinary differential equations (for the l...
متن کاملControl Chart for Autocorrelated Processes with Heavy Tailed Distributions
Standard control charts are constructed under the assumption that the observations taken from the process of interest are independent over time; however, in practice the observations in many cases are actually correlated. This paper considers the problem of monitoring a process in which the observations can be represented as a first-order autoregressive model following a heavy tailed distributi...
متن کاملFitting First Order Kinetic Models Quickly and Easily
About the Authors, Paper: Douglas M. Bates is with the Department of Statistics at the University of Wisconsin. Donald G. Watts is a member of the Department of Mathematics and Statistics, Queen's University at Kingston. The work reported on was supported by the National Science Foundation in the United States and the Natural Sciences and Engineering Research Council of Canada. We consider syst...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0129042