Addressing the issue of channeling bias in observational studies with propensity scores analysis

Research in Social and Administrative Pharmacy

Volumn 2, Issue 1, 2006, Pages 143-151

  Lobo, Francis S ^a   Wagner, Samuel ^b   Gross, Cynthia R ^c   Schommer, Jon C ^c  

^a Global Health Economics and Outcomes Research   (United States)

^b PFIZER INC   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

Author keywords

Channeling bias; Observational studies; Propensity scores

Indexed keywords

ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; DRUG THERAPY; EPIDEMIOLOGY; HEALTH SURVEY; HUMAN; METHODOLOGY; RANDOMIZED CONTROLLED TRIAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME;

BIAS (EPIDEMIOLOGY); CAUSALITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; DRUG THERAPY; HUMANS; MODELS, STATISTICAL; POPULATION SURVEILLANCE; RANDOMIZED CONTROLLED TRIALS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN; TREATMENT OUTCOME;

EID: 33746658672     PISSN: 15517411     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sapharm.2005.12.001     Document Type: Article

References (24)

1. Collet J., and Boivin J. Bias and confounding in pharmacoepidemiology. In: Strom B.L. (Ed). Pharmacoepidemiology (2000), John Wiley & Sons Ltd, Chichester, West Sussex, England
2. Feinstein A.R. Clinical Epidemiology (1985), Saunders, Philadelphia, Pa
3. Urquhart J. ADR crisis management-before and after. Scrip 1388 (1989) 19-21
4. Petri H., and Urquhart J. Channeling bias in the interpretation of drug effects. Stat Med 10 (1991) 577-581
5. Petri H., Naus J., and Urquhart J. Channeling of aerosol beta agonist and the interpretation of a concomitant adverse event. J Clin Res Drug Dev 3 (1989) 224-230
6. Inman W.H. Comparative study of five NSAIDs. PEM News 3 (1985) 3-13
7. O'Donnell T.V., Rea H.H., Holst P.E., et al. Fenoterol and fatal asthma. Lancet 1 (1989) 1070-1071
8. Spitzer W.O., and Buist A.S. Case-control study of prescribed fenoterol and death from asthma in New Zealand. Thorax 45 (1990) 645-646
9. Blais L., Ernst P., and Suissa S. Confounding by indication and channeling over time: the risks of beta 2-agonists. Am J Epidemiol 144 (1996) 1161-1169
10. Wolfe F., Flowers N., Burke T.A., et al. Increase in lifetime adverse drug reactions, service utilization, and disease severity among patients who will start COX-2 specific inhibitors: quantitative assessment of channeling bias and confounding by indication in 6689 patients with rheumatoid arthritis and osteoarthritis. J Rheumatol 29 (2002) 1015-1022
11. Rubin D.B. Estimating causal effects from large data sets using propensity scores. Ann Intern Med 127 (1997) 757-763
12. Rosenbaum P.R., and Rubin D.B. The central role of the propensity score in observational studies for causal effects. Biometrika 70 (1983) 41-55
13. Joffe M.M., and Rosenbaum P.R. Invited commentary: propensity scores. Am J Epidemiol 150 (1999) 327-333
14. Connors A.F., Speroff T., Dawson N.V., et al. The effectiveness of right heart catheterization in the initial care of critically ill patients. JAMA 18 (1998) 889-897
15. D'Agostino R.B. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Stat Med 17 (1998) 2265-2281
16. Rosenbaum P.R., and Rubin D.B. Constructing a control group using multivariate matched sampling methods that incorporate a propensity score. Am Stat 39 (1985) 33-38
17. Stone R.A., Obrosky S., Singer D.E., Kapoor W.N., and Fine M.J. Propensity score adjustment for pretreatment differences between hospitalized and ambulatory patients with community acquired pneumonia. Med Care 33 (1995) AS56-AS66
18. Perkins S.M., Tu W., Underhill M.G., Zhou X., and Murray M.D. The use of propensity scores in pharmacoepidemiology research. Pharmacoepidemiol Drug Saf 9 (2000) 93-101
19. Hylan T.R., Crown W.H., Meneades L., et al. TCA and SSRI anti-depressant selection and health care costs in naturalistic setting: a multivariate analysis. J Affect Disord 47 (1998) 71-79
20. Newhouse J.P., and McClellan M. Econometrics in outcomes research: the use of instrumental variables. Annu Rev Public Health 19 (1998) 17-34
21. Rubin D.B. On principles for modeling propensity scores in medical research. Pharmacoepidemiol Drug Saf 13 (2002) 855-857
22. McClellan M., McNeil B.J., and Newhouse J.P. Does more intensive treatment of acute myocardial infarction reduce mortality?. JAMA 272 (1994) 859-866
23. McClellan M., and Newhouse J.P. The marginal costs and benefits of medical technology: a panel instrumental-variables approach. J Econ 77 (1997) 39-64
24. Zohoori N., and Savitz D.A. Econometric approaches to epidemiologic data: relating endogeneity and unobserved heterogeneity to confounding. Ann Epidemiol 7 (1997) 251-257