David Kepplinger

ORCID: 0000-0002-3776-4819
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About
Contact & Profiles
Research Areas
  • Advanced Statistical Methods and Models
  • Statistical Methods and Inference
  • Neural Networks and Applications
  • Species Distribution and Climate Change
  • Fault Detection and Control Systems
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Spectroscopy and Chemometric Analyses
  • Control Systems and Identification
  • Animal and Plant Science Education
  • Central Venous Catheters and Hemodialysis
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Cardiac Arrhythmias and Treatments
  • Plant and animal studies
  • Vascular Procedures and Complications
  • Wildlife Ecology and Conservation
  • Heart Failure Treatment and Management
  • Advanced Proteomics Techniques and Applications
  • Big Data Technologies and Applications
  • Energy, Environment, and Transportation Policies
  • Neurosurgical Procedures and Complications
  • Trauma, Hemostasis, Coagulopathy, Resuscitation
  • Cardiac pacing and defibrillation studies
  • Energy, Environment, Economic Growth
  • Immune cells in cancer
  • Cardiac Arrest and Resuscitation

George Mason University
2021-2024

University of British Columbia
2017-2019

Universidad Torcuato Di Tella
2019

TU Wien
2013

Plants, animals, and fungi display a rich tapestry of colors. Animals, in particular, use colors dynamic displays performed spatially complex environments. Although current approaches for studying are objective repeatable, they miss the temporal variation color signals entirely. Here, we introduce hardware software that provide ecologists filmmakers ability to accurately record animal-perceived motion. Specifically, our Python codes transform photos or videos into perceivable units (quantum...

10.1371/journal.pbio.3002444 article EN public-domain PLoS Biology 2024-01-23

Background Distal transradial access (dTRA) is an alternative to conventional forearm (fTRA) for coronary angiography (CAG). Differences in healing of the radial artery (RA) have not been evaluated between these 2 strategies. We sought compare mean difference RA intimal‐medial thickening (IMT) patients randomized dTRA versus fTRA. Methods and Results In this single‐center clinical trial, 64 undergoing nonemergent CAG were (1:1) Ultra–high‐resolution (55‐MHz) vascular ultrasound distal was...

10.1161/jaha.123.031504 article EN cc-by-nc-nd Journal of the American Heart Association 2024-02-14

In large-scale quantitative proteomic studies, scientists measure the abundance of thousands proteins from human proteome in search novel biomarkers for a given disease. Penalized regression estimators can be used to identify potential among large set molecular features measured. Yet, performance and statistical properties these depend on loss penalty functions define them. Motivated by real plasma study, we propose new class penalized robust based elastic net penalty, which tuned keep...

10.1214/19-aoas1269 article EN The Annals of Applied Statistics 2019-11-28

Heavy-tailed error distributions and predictors with anomalous values are ubiquitous in high-dimensional regression problems can seriously jeopardize the validity of statistical analyses if not properly addressed. For more reliable variable selection prediction under these adverse conditions, adaptive PENSE, a new robust regularized estimator, is proposed. Adaptive PENSE yields coefficient estimates even aberrant contamination or residuals. It shown that penalty leads to than other...

10.1016/j.csda.2023.107730 article EN cc-by Computational Statistics & Data Analysis 2023-03-01

ABSTRACT Background Distal transradial access (dTRA) is an alternative to conventional forearm (fTRA) for coronary angiography (CAG). Differences in healing of the radial artery (FRA) have not been evaluated between these 2 strategies. We sought compare FRA intimal-medial thickening (IMT) patients randomized dTRA vs. fTRA CAG. Methods and Results Sixty-four consecutive undergoing non-emergent CAG were (1:1) fTRA. Ultrahigh resolution (55 MHz) vascular ultrasound) distal RA was performed...

10.1101/2023.07.05.23292274 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2023-07-06

BackgroundBlood clots are living tissues that release inflammatory mediators including IL-8/CXCL8 and MCP-1/CCL2. A deeper understanding of blood is needed to develop new therapies for prothrombotic disease states regenerative medicine.ObjectivesTo identify a common transcriptional shift in cultured clot leukocytes.MethodsDifferential gene expression whole (4 hours at 37 °C) was assessed by RNA sequencing (RNAseq), reverse transcriptase-polymerase chain reaction, proteomics, histology (23...

10.1016/j.jtha.2023.12.014 article EN cc-by-nc-nd Journal of Thrombosis and Haemostasis 2023-12-20

BACKGROUND AND OBJECTIVES: Severe traumatic brain injury (sTBI) represents a diffuse, heterogeneous disease where therapeutic targets for optimizing clinical outcome remain unclear. Mean pressure reactivity index (PRx) values have demonstrated associations with in sTBI. However, the retrospective derivation of mean value diminishes its bedside significance. We evaluated PRx temporal profiles patients sTBI and identified time thresholds suggesting optimal neuroprognostication. METHODS:...

10.1227/neu.0000000000002876 article EN Neurosurgery 2024-02-20

INTRODUCTION: The pressure reactivity index (PRx) is a surrogate for vascular cerebral autoregulation that evaluates moving correlation coefficients between intracranial (ICP) and mean arterial blood (MAP). Ideal threshold PRx values distinguishing poor good outcome in severe traumatic brain injury (sTBI) unclear. METHODS: Retrospective evaluation of consecutive patients over three-year period with sTBI polytrauma who received continuous ICP, MAP, monitoring. Good was defined as upon...

10.1227/neu.0000000000002809_437 article EN Neurosurgery 2024-03-15

Abstract Jonathan Auerbach, David Kepplinger and Nicholas Rios use two popular data science algorithms – naïve Bayes eigencentrality to examine the difference between scientists, statisticians, other occupations

10.1093/jrssig/qmae030 article EN Significance 2024-04-07

Robust estimators for linear regression require non-convex objective functions to shield against adverse affects of outliers. This non-convexity brings challenges, particularly when combined with penalization in high-dimensional settings. Selecting hyper-parameters the penalty based on a finite sample is critical task. In practice, cross-validation (CV) prevalent strategy good performance convex estimators. Applied robust estimators, however, CV often gives sub-par results due interplay...

10.48550/arxiv.2409.12890 preprint EN arXiv (Cornell University) 2024-09-19

Genetic algorithms are a widely used method in chemometrics for extracting variable subsets with high prediction power. Most fitness measures by these genetic based on the ordinary least-squares fit of resulting model to entire data or subset thereof. Due multicollinearity, partial least squares regression is often more appropriate, but rarely considered due additional cost estimating optimal number components. We introduce two novel algorithms, explicitly designed estimate internal...

10.48550/arxiv.1711.06695 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Abstract Plants, animals, and fungi display a rich tapestry of colors. Animals, in particular, use colors dynamic displays performed spatially complex environments. In such natural settings, light is reflected or refracted from objects with shapes that cast shadows generate highlights. addition, the illuminating changes continuously as viewers targets move through heterogeneous, continually fluctuating, conditions. Although traditional spectrophotometric approaches for studying are objective...

10.1101/2022.11.22.517269 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2022-11-23

The quantitation of proteins using shotgun proteomics has gained popularity in the last decades, simplifying sample handling procedures, removing extensive protein separation steps and achieving a relatively high throughput readout. process starts with digestion mixture into peptides, which are then separated by liquid chromatography sequenced tandem mass spectrometry (MS/MS). At end workflow, recovering identity originally present is often difficult ambiguous process, because more than one...

10.1371/journal.pone.0177569 article EN cc-by PLoS ONE 2017-05-31
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