Package: changeLOS
Version: 2.0.9-2
Date: 2008-10-16
Title: Change in LOS
Author: Matthias Wangler <mw@imbi.uni-freiburg.de>, Jan Beyersmann
        <jan@fdm.uni-freiburg.de>
Maintainer: Arthur Allignol <arthur.allignol@fdm.uni-freiburg.de>
Depends: R (>= 1.8.1), survival
Description: Change in length of hospital stay (LOS) is frequently used
        to assess the impact and the costs of hospital-acquired
        complications. In order to compute the attributable change in
        LOS, it is crucial to account for the timing of events: A
        complication can only have an effect on LOS, once it has
        occured. These temporal dynamics can be adequately handled by
        multistate models; however, there is few software for such
        models available. We introduce an R-package "changeLOS" for
        computing change in LOS based on methods described in Schulgen
        and Schumacher (1996). We will illustrate the program on data
        from a prospective cohort study on hospital-acquired
        infections. Main features of the R-package "changeLOS" are
        R-methods to: (1) describe the multi-state model. (2) compute
        the Aalen-Johansen estimator for the matrix of transition
        probabilities P(u-, u) for all observed transition times u.(3)
        compute the Aalen-Johansen estimator for the matrix of
        transition probabilities P(s,t); the estimator is a finite
        matrix product of matrices P(u-,u) for every observed event
        time in the interval(s,t]. (4) visualize the temporal dynamics
        of the data, illustrated by transition probabilities. (5)
        compute and visualize change in LOS. (6) compute bootstrap
        variances for change in LOS.
License: GPL (>= 2)
Packaged: Thu Mar 26 11:25:42 2009; arthur
Repository: CRAN
Date/Publication: 2009-03-26 11:29:35
