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PeerJ Author & Reviewer

375 Points

Contributions by role

Contributions by subject area

By Q&A topic

John P Donnelly

PeerJ Author & Reviewer

Summary

Emergency & Critical Care Epidemiology Infectious Diseases Statistics

Work details

Predoctoral Fellow

University of Alabama at Birmingham

Department of Epidemiology

PeerJ Contributions

April 10, 2014

Automated electronic medical record sepsis detection in the emergency department

Su Q. Nguyen, Edwin Mwakalindile, James S. Booth, Vicki Hogan, Jordan Morgan, Charles T. Prickett, John P. Donnelly, Henry E. Wang

https://doi.org/10.7717/peerj.343 PubMed 24765577

May 21, 2013

National estimates of emergency department visits for pediatric severe sepsis in the United States

Sara Singhal, Mathias W. Allen, John-Ryan McAnnally, Kenneth S. Smith, John P. Donnelly, Henry E. Wang

https://doi.org/10.7717/peerj.79 PubMed 23717801

March 8, 2014 - Version: 1

Automated electronic medical record sepsis detection in the Emergency Department

Su Nguyen, Edwin Mwakalindile, James S Booth, Vicki Hogan, Jordan Morgan, Charles T Prickett, John P Donnelly, Henry E Wang

https://doi.org/10.7287/peerj.preprints.279v1

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

June 9, 2015

A mathematical model for predicting glucose levels in critically-ill patients: the PIGnOLI model

Zhongheng Zhang

https://doi.org/10.7717/peerj.1005 PubMed 26082861

3 Questions

1

Alternative uses for propensity scores in prediction modelling

about Adding propensity scores to pure prediction models fails to improve predictive performance

1

Due to the imprecise definition of Chronic Lyme Disease and the inherent self-selection bias, how could psychological factors affect your results?

about Severity of chronic Lyme disease compared to other chronic conditions: a quality of life survey

0

How different were the populations compared (LD vs general population vs congestive heart failure) and how could this have impacted your conclusions?

about Severity of chronic Lyme disease compared to other chronic conditions: a quality of life survey