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OBJECTIVES To develop a risk-adjustment methodology that maximizes the use of automated physiology and diagnosis data from the time period preceding hospitalization. DESIGN : Retrospective cohort study using split-validation and logistic regression. SETTING Seventeen hospitals in a large integrated health care delivery system. SUBJECTS Patients (n =(More)
Prior research on pair programming has found that compared to students who work alone, students who pair have shown increased confidence in their work, greater success in CS1, and greater retention in computer-related majors. In these earlier studies, pairing and solo students were not given the same programming assignments. This paper reports on a study in(More)
We use Bayesian decision theory to address a variable selection problem arising in attempts to indirectly measure the quality of hospital care, by comparing observed mortality rates to expected values based on patient sickness at admission. Our method weighs data collection costs against predictive accuracy to find an optimal subset of the available(More)
In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data of the type that would routinely be analyzed parametrically either through fixed-effects or random-effects Poisson models. The context of the study is a randomized controlled trial with(More)
Insertional mutations leading to expansion of the octarepeat domain of the prion protein (PrP) are directly linked to prion disease. While normal PrP has four PHGGGWGQ octapeptide segments in its flexible N-terminal domain, expanded forms may have up to nine additional octapeptide inserts. The type of prion disease segregates with the degree of expansion.(More)
Traditional variable-selection strategies in generalized linear models (GLMs) seek to optimize a measure of predictive accuracy without regard for the cost of data collection. When the purpose of such model building is the creation of predictive scales to be used in future studies with constrained budgets, the standard approach may not be optimal. We(More)
PURPOSE Medical diagnosis and molecular or biochemical confirmation typically rely on the knowledge of the clinician. Although this is very difficult in extremely rare diseases, we hypothesized that the recording of patient phenotypes in Human Phenotype Ontology (HPO) terms and computationally ranking putative disease-associated sequence variants improves(More)
  • Fábio Pinheiro, Poliana Cardoso-Gustavson, Rogério Mamoru Suzuki, Monique Cristine R. Abrão, Leonardo R. S. Guimarães, David Draper +1 other
  • 2015
Studies on hybrid zones are essential to understand the origin and evolution of reproductive barriers in plants. To achieve this goal, multidisciplinary approaches are often required to investigate the role of multiple reproductive isolation (RI) mechanisms. For Epidendrum denticulatum and E. fulgens, two Neotropical food-deceptive orchid species, we used(More)
The Undiagnosed Diseases Program (UDP) was started in 2008 with the goals of making diagnoses and facilitating related translational research. The individuals and families seen by the UDP are often unique and medically complex. Approximately 40% of UDP cases are pediatric. The Undiagnosed Diseases Program Integrated Collaboration System (UDPICS) was(More)