Editorial: Professors live longer than doctors: Immortality bias in survival analysis

British Journal of Anaesthesia

Volumn 106, Issue 2, 2011, Pages 161-163

  Webster, N R ^a  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CORTICOSTEROID;

CHRONIC OBSTRUCTIVE LUNG DISEASE; EDITORIAL; HEART TRANSPLANTATION; HOSPITALIZATION; HUMAN; INTENSIVE CARE; LIFESPAN; LONGEVITY; PHYSICIAN; PRIORITY JOURNAL; SOCIAL STATUS; SURVIVAL; EPIDEMIOLOGY; STATISTICAL ANALYSIS;

BIAS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; HUMANS; LONGEVITY; SURVIVAL ANALYSIS;

EID: 78751548104     PISSN: 00070912     EISSN: 14716771     Source Type: Journal    
DOI: 10.1093/bja/aeq380     Document Type: Editorial

References (19)

1. Redelmeier DA, Singh SM. Survival in academy award-winning actors and actresses. Ann Intern Med 2001; 134: 955-62
2. Sylvestre MP, Huszti E, Hanley JA. Do Oscar winners live longer than less successful peers? A reanalysis of the evidence. Ann Intern Med 2006; 145: 361-3
3. Farr W. Vital Statistics: A Memorial Volume of Selections from the Reports and Writings of William Farr. Metuchen, NJ: Scarecrow Pr; 1975
4. Hanley JA, Carrieri MP, Serraino D. Statistical fallibility and the longevity of popes: William Farr meets Wilhelm Lexis. Int J Epidemiol 2006; 35: 802-5
5. Rothman KJ. Longevity of jazz musicians: flawed analysis. Am J Public Health 1992; 82: 761
6. Gail MH. Does cardiac transplantation prolong life? A reassessment. Ann Intern Med 1972; 76: 815-7
7. Enterline PE. Pitfalls in epidemiological research: an examination of the asbestos literature. J Occup Med 1976; 18: 150-6
8. Suissa S. Effectiveness of inhaled corticosteroids in chronic obstructive pulmonary disease: immortal time bias in observational studies. Am J Respir Crit Care Med 2003; 168: 49-53
9. Glesby MJ, Hoover DR. Survivor treatment selection bias in observational studies: examples from the AIDS literature. Ann Intern Med 1996; 124: 999-1005
10. Simon R, Makuch RW. A non-parametric graphical representation of the relationship between survival and the occurrence of anevent: application to responder versus non-responder bias. Stat Med 1984; 3: 35-44
11. Sin DD, Tu JV. Inhaled corticosteroids and the risk of mortality and readmission in elderly patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2001; 164: 580-4
12. Soriano JB, Vestbo J, Pride NB, et al. Survival in COPD patients after regular use of fluticasone propionate and salmeterol in general practice. Eur Respir J 2002; 20: 819-25
13. van Walraven C, Davis D, Forster AJ, Wells GA. Time-dependent bias was common in survival analyses published in leading clinical journals. J Clin Epidemiol 2004; 57: 672-82
14. Shintani AK, Girard TD, Eden SK, Arbogast PG, Moons KGM, Ely EW. Immortal time bias in critical care research: application of timevarying Cox regression for observational cohort studies. Crit Care Med 2009; 37: 2939-45
15. Cox DR. Regression models and life-tables. J R Stat Soc Ser B 1972; 34: 187-220
16. Crowley J, Hu M. Covariance analysis of heart transplant survival data. J Am Stat Assoc 1977; 72: 27-36
17. Suissa S. Immortal time bias in observational studies of drug effects. Pharmacoepidemiol Drug Saf 2007; 16: 241-9
18. Martinussen T, Scheike TH. Dynamic Regression Models for Survival Data. New York: Springer; 2006
19. Redelmeier DA, Singh SM. Longevity of screenwriters who win an academy award: longitudinal study. Br Med J 2001; 323: 1491-6