A note on statistical association and causality derived from epidemiological ICU data

Intensive Care Medicine

Volumn 36, Issue 3, 2010, Pages 549-

  Wolkewitz, Martin ^a   Beyersmann, Jan ^a   Schumacher, Martin ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BIOSTATISTICS; CORRELATIONAL STUDY; EPIDEMIOLOGICAL DATA; HOSPITAL DISCHARGE; HOSPITAL INFECTION; INTENSIVE CARE UNIT; LETTER; MORTALITY; RISK ASSESSMENT; RISK FACTOR; SCORING SYSTEM; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ASSOCIATION; CAUSALITY; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC METHODS; HUMANS; INTENSIVE CARE UNITS;

EID: 77951208963     PISSN: 03424642     EISSN: 14321238     Source Type: Journal    
DOI: 10.1007/s00134-009-1721-z     Document Type: Letter

References (4)

1. M Wolkewitz J Beyersmann P Gastmeier M Schumacher 2009 Modeling the effect of time-dependent exposure on intensive care unit mortality Intensive Care Med 35 826 832 10.1007/s00134-009-1423-6 19183943
2. M Wolkewitz R Vonberg H Grundmann J Beyersmann P Gastmeier S Baerwolff C Geffers M Behnke H Rueden M Schumacher 2008 Risk factors for the development of nosocomial pneumonia and mortality on intensive care units: application of competing risks models Crit Care 12 R44 10.1186/cc6852 18384672 (Pubitemid 351611908)
3. O Aalen Frigessi 2007 What can statistics contribute to a causal understanding? Scand J Stat 34 155 168 10.1111/j.1467-9469.2006.00549.x
4. S Vansteelandt K Mertens C Suetens E Goetghebeur 2009 Marginal structural models for partial exposure regimes Biostatistics 10 46 10.1093/biostatistics/ kxn012 18503036 (Pubitemid 352847905)