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John Donnelly
PeerJ Author & Reviewer
375 Points

Contributions by role

Author 270
Preprint Author 35
Reviewer 70
Questions 10
Answers 6

Contributions by subject area

Emergency and Critical Care
Epidemiology
Infectious Diseases
Pediatrics
Public Health
Evidence Based Medicine
Respiratory Medicine
Statistics
Science and Medical Education

By Q&A topic

Epidemiology
Infectious-diseases
Statistics
Evidence-based-medicine
Science-and-medical-education

John P Donnelly

PeerJ Author & Reviewer

Summary

Emergency & Critical Care Epidemiology Infectious Diseases Statistics

Editing Journals

Work details

Predoctoral Fellow

University of Alabama at Birmingham
Department of Epidemiology

PeerJ Contributions

  • Articles 2
  • Preprints 1
  • Reviewed 1
  • Questions 3
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