Statistical Analysis of Clinical COVID-19 Data: A Concise Overview of Lessons Learned, Common Errors and How to Avoid Them.
competing events
competing risk bias
immortal-time bias
time-dependent bias
time-to-event analysis
time-varying exposure
Journal
Clinical epidemiology
ISSN: 1179-1349
Titre abrégé: Clin Epidemiol
Pays: New Zealand
ID NLM: 101531700
Informations de publication
Date de publication:
2020
2020
Historique:
received:
03
04
2020
accepted:
19
06
2020
entrez:
18
9
2020
pubmed:
19
9
2020
medline:
19
9
2020
Statut:
epublish
Résumé
By definition, in-hospital patient data are restricted to the time between hospital admission and discharge (alive or dead). For hospitalised cases of COVID-19, a number of events during hospitalization are of interest regarding the influence of risk factors on the likelihood of experiencing these events. The same is true for predicting times from hospital admission of COVID-19 patients to intensive care or from start of ventilation (invasive or non-invasive) to extubation. This logical restriction of the data to the period of hospitalisation is associated with a substantial risk that inappropriate methods are used for analysis. Here, we briefly discuss the most common types of bias which can occur when analysing in-hospital COVID-19 data.
Identifiants
pubmed: 32943941
doi: 10.2147/CLEP.S256735
pii: 256735
pmc: PMC7478365
doi:
Types de publication
Journal Article
Langues
eng
Pagination
925-928Informations de copyright
© 2020 Wolkewitz et al.
Déclaration de conflit d'intérêts
The authors report no conflicts of interest for this work.
Références
J Clin Epidemiol. 2012 Nov;65(11):1171-80
pubmed: 23017635
Crit Care. 2014 Mar 05;18(2):415
pubmed: 25029237
Am J Respir Crit Care Med. 2015 Sep 1;192(5):640-1
pubmed: 26561680
N Engl J Med. 2013 Jun 13;368(24):2330
pubmed: 23758246
JAMA. 2020 Jun 23;323(24):2493-2502
pubmed: 32392282
J Hosp Infect. 2018 May;99(1):103-104
pubmed: 29458064
Infect Control Hosp Epidemiol. 2018 Jun;39(6):759-760
pubmed: 29587890
Lancet Infect Dis. 2020 Feb;20(2):164-165
pubmed: 32006499
Crit Care. 2014 Feb 19;18(1):408
pubmed: 24602350
Lancet Infect Dis. 2011 Oct;11(10):729; author reply 731-2
pubmed: 21958576
JAMA Intern Med. 2020 Jul 1;180(7):934-943
pubmed: 32167524
Am J Epidemiol. 2008 Aug 1;168(3):329-35
pubmed: 18515793
Lancet. 2020 Mar 28;395(10229):1054-1062
pubmed: 32171076
Infect Control Hosp Epidemiol. 2016 Oct;37(10):1255-7
pubmed: 27530258
BMC Med Res Methodol. 2018 Jul 16;18(1):79
pubmed: 30012114
BMJ. 2020 Apr 7;369:m1328
pubmed: 32265220
N Engl J Med. 2017 Apr 20;376(16):1594
pubmed: 28423299
Clin Infect Dis. 2020 Apr 15;70(9):1837-1844
pubmed: 31925415
BMJ. 2020 May 12;369:m1847
pubmed: 32398241
BMJ. 2014 Aug 21;349:g5060
pubmed: 25146097
Stat Med. 2012 May 20;31(11-12):1074-88
pubmed: 22081496
Lancet. 2020 May 22;:
pubmed: 32450107
J Clin Epidemiol. 2017 Apr;84:121-129
pubmed: 28188897
J Clin Epidemiol. 2013 Jun;66(6):648-53
pubmed: 23415868
Biom J. 2020 May;62(3):583-597
pubmed: 31216103
Int J Epidemiol. 2013 Oct;42(5):1502-8
pubmed: 24038717