Avoidable statistical pitfalls in analyzing length of stay in intensive care units or hospitals

Critical Care

Volumn 18, Issue 1, 2014, Pages

  Wolkewitz, Martin ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADVERSE EFFECTS; ARTIFICIAL VENTILATION; CRITICAL ILLNESS; FEMALE; HUMAN; INTENSIVE CARE UNIT; MALE; RESPIRATORY TRACT INFECTIONS;

CRITICAL ILLNESS; FEMALE; HUMANS; INTENSIVE CARE UNITS; MALE; RESPIRATION, ARTIFICIAL; RESPIRATORY TRACT INFECTIONS;

EID: 84894076536     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/cc13735     Document Type: Letter

References (3)

1. Shahin J, Bielinski M, Guichon C, Flemming C, Kristof AS. Suspected ventilator-associated respiratory infection in severely ill patients: a prospective observational study. Crit Care 2013, 17:R251. 10.1186/cc13077, 24148702.
2. Wolkewitz M, Allignol A, Harbarth S, de Angelis G, Schumacher M, Beyersmann J. Time-dependent study entries and exposures in cohort studies can easily be sources of different and avoidable types of bias. J Clin Epidemiol 2012, 65:1171-1180. 10.1016/j.jclinepi.2012.04.008, 23017635.
3. Schumacher M, Allignol A, Beyersmann J, Binder N, Wolkewitz M. Hospital-acquired infections - appropriate statistical treatment is urgently needed!. Int J Epidemiol 2013, 42:1502-1508. 10.1093/ije/dyt111, 24038717.