OBJECTIVES To determine whether a designation of frailty using the Adjusted Clinical Groups-diagnoses based computerized predictive model (ACG Dx-PM) can identify an elderly population who (1) have the clinical characteristics of frailty and (2) are frail as determined by the validated Vulnerable Elders Survey (VES), and to determine the ability of these tools to predict adverse outcomes. STU...

Predictive modeling includes regression, both logistic and linear, depending upon the type of outcome variable. However, as the datasets are generally too large for a p-value to have meaning, predictive modeling uses other measures of model fit. Generally, too, there are enough observations so that the data can be partitioned into two or more datasets. The first subset is used to define (or tra...

TO THE EDITOR: Sorensen et al. (1) compare the production rate of triglyceride, as calculated from a bolus injection decay curve, to that obtained from a primed constant infusion curve of the specific activity of radiolabeled tracer. They note a difference in the two rates and choose the constant infusion as the more accurate method. But is it? The bi-exponential model is a predictive model and...

We analyze differences between two information-theoretically motivated ap­ proaches to statistical inference and model selection: the Minimum Description Length (MDL) principle, and the Minimum Message Length (MML) principle. Based on this analysis, we present two revised versions of MML: a pointwise estimator which gives the MML-optimal single parameter model, and a volumewise estimator which ...

In order to fully examine the breadth of possibility in sports data analysis, we look at two areas of differing scope. The first is scalable and generalizable, exploring the expected performance of athletes in track and field events by means of a datacentric model. It takes Athletic.net data using an in-house web scraper and fits past results against a corpus in order to predict future results ...

DISCLAIMER This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor Battelle Memorial Institute, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, appara...

The complexity in 3D virtual environment over the web is growing rapidly every day. This 3D virtual environment comprises a set of structured scenes and each scene has multiple 3D objects/meshes. Therefore the granular level of the block in a virtual environment is the object. In a virtual environment, it is required to give user interactions for every 3D object and at any point of time, it is ...

We investigate the difference between regression models in SAS/Stat and compare them to the predictive models in Enterprise Miner. In large samples, the p-value becomes meaningless because the effect size is virtually zero. Therefore, there must be another way to determine the adequacy of the model. In addition, logistic regression cannot be used to predict rare occurrences. Such a model will b...

The study examined 534 hostage and barricade incidents. Its objective was to present an integrated and formalized vision of current conceptualizations of critical incidents to optimize decision making. To this end, logistic regression and recursive partitioning models are presented and compared. In all, 18 distinct static and dynamic individual and situational factors were used to predict vario...