Immortal time bias in critical care research: application of time-varying Cox regression for observational cohort studies.

作者: Ayumi K. Shintani , Timothy D. Girard , Svetlana K. Eden , Patrick G. Arbogast , Karel G. M. Moons

DOI: 10.1097/CCM.0B013E3181B7FBBB

关键词: Observational studyProspective cohort studyCohort studyEmergency medicineResearch designMedicineProportional hazards modelIntensive care medicineKaplan-Meier EstimateIntensive care unitIntensive care

摘要: Objectives To determine the magnitude of bias when using time-fixed methodology to analyze effect a time-varying exposure incurred in ICU on length stay.

参考文章(33)
Shu-Min Lin, Chien-Ying Liu, Chun-Hua Wang, Horng-Chyuan Lin, Chien-Da Huang, Pei-Yao Huang, Yueh-Fu Fang, Meng-Heng Shieh, Han-Pin Kuo, The impact of delirium on the survival of mechanically ventilated patients* Critical Care Medicine. ,vol. 32, pp. 2254- 2259 ,(2004) , 10.1097/01.CCM.0000145587.16421.BB
Samy Suissa, Effectiveness of inhaled corticosteroids in chronic obstructive pulmonary disease: immortal time bias in observational studies. American Journal of Respiratory and Critical Care Medicine. ,vol. 168, pp. 49- 53 ,(2003) , 10.1164/RCCM.200210-1231OC
Marshall J MD Glesby, Donald R Hoover, Survivor Treatment Selection Bias in Observational Studies: Examples from the AIDS Literature Annals of Internal Medicine. ,vol. 124, pp. 999- 1005 ,(1996) , 10.7326/0003-4819-124-11-199606010-00008
D. Kroll, G Gompper, The conformation of fluid membranes: Monte Carlo simulations. Science. ,vol. 255, pp. 968- 971 ,(1992) , 10.1126/SCIENCE.1546294
Ross Ihaka, Robert Gentleman, R: A Language for Data Analysis and Graphics Journal of Computational and Graphical Statistics. ,vol. 5, pp. 299- 314 ,(1996) , 10.1080/10618600.1996.10474713
Peter C. Austin, Muhammad M. Mamdani, Carl van Walraven, Jack V. Tu, Quantifying the impact of survivor treatment bias in observational studies. Journal of Evaluation in Clinical Practice. ,vol. 12, pp. 601- 612 ,(2006) , 10.1111/J.1365-2753.2005.00624.X
Carl van Walraven, Darryl Davis, Alan J. Forster, George A. Wells, Time-dependent bias was common in survival analyses published in leading clinical journals Journal of Clinical Epidemiology. ,vol. 57, pp. 672- 682 ,(2004) , 10.1016/J.JCLINEPI.2003.12.008
Steven M Snapinn, Qi Jiang, Boris Iglewicz, Illustrating the Impact of a Time-Varying Covariate With an Extended Kaplan-Meier Estimator The American Statistician. ,vol. 59, pp. 301- 307 ,(2005) , 10.1198/000313005X70371
John Crowley, Marie Hu, Covariance Analysis of Heart Transplant Survival Data Journal of the American Statistical Association. ,vol. 72, pp. 27- 36 ,(1977) , 10.1080/01621459.1977.10479903
Samir Jaber, Gérald Chanques, Jean Borry, Bruno Souche, Régis Verdier, Pierre-François Perrigault, Jean-Jacques Eledjam, Cytomegalovirus infection in critically ill patients: associated factors and consequences. Chest. ,vol. 127, pp. 233- 241 ,(2005) , 10.1378/CHEST.127.1.233