Evaluating mortality in an intensive care unit requires extended survival models

Critical Care

Volumn 18, Issue 2, 2014, Pages

  Wolkewitz, Martin ^a   Sommer, Harriet ^a  

^a German Cochrane Center   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

HOSPITALIZATION; HUMAN; INTENSIVE CARE UNIT; LETTER; MORTALITY; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROPENSITY SCORE; RISK; SURVIVAL; SURVIVAL RATE; SURVIVAL TIME; LENGTH OF STAY; PATIENT CARE; PROBABILITY; STATISTICAL ANALYSIS; FEMALE; HOSPITAL ADMISSION; HOSPITAL MORTALITY; MALE; STATISTICS AND NUMERICAL DATA;

FEMALE; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; MALE; PATIENT ADMISSION;

EID: 84896775618     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/cc13757     Document Type: Letter

References (4)

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2. Andersen PK, Geskus RB, de Witte T, Putter H. Competing risks in epidemiology: possibilities and pitfalls. Int J Epidemiol 2012, 41:861-870. 10.1093/ije/dyr213, 3396320, 22253319.
3. Wolkewitz M, Vonberg R, Grundmann H, Beyersmann J, Gastmeier P, Baerwolff S, Geffers S, Behnke M, Rueden H, Schumacher M. Risk factors for the development of nosocomial pneumonia and mortality on intensive care units: application of competing risks models. Crit Care 2008, 12:R44. 10.1186/cc6852, 2447589, 18384672.
4. Zwiener I, Blettner M, Hommel G. Survival analysis: part 15 of a series on evaluation of scientific publications. Dtsch Arztebl Int 2011, 108:163-169. 3071962, 21475574.