Cost-effectiveness in clinical trials: Using multiple imputation to deal with incomplete cost data

Clinical Trials

Volumn 4, Issue 2, 2007, Pages 154-161

  Burton, Andrea ^a,b   Billingham, Lucinda Jane ^a   Bryan, Stirling ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CLINICAL PRACTICE; CLINICAL RESEARCH; CONTROLLED STUDY; COST EFFECTIVENESS ANALYSIS; DECISION MAKING; HUMAN; PRIORITY JOURNAL; WORLD HEALTH ORGANIZATION;

BIAS (EPIDEMIOLOGY); CARCINOMA, NON-SMALL-CELL LUNG; COST-BENEFIT ANALYSIS; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; RANDOMIZED CONTROLLED TRIALS;

EID: 34249308543     PISSN: 17407745     EISSN: 17407753     Source Type: Journal    
DOI: 10.1177/1740774507076914     Document Type: Article

References (21)

1. Cullen MH, Billingham LJ, Woodroffe CM et al. Mitomycin, ifosfamide and cisplatin in unresectable non-small-cell lung cancer: effects on survival and quality of life. J Clin Oncol 1999; 17: 3188-94.
2. Billingham LJ, Bathers S, Burton A et al. Patterns and costs of care in advanced non-small cell lung cancer in a trial of chemotherapy versus supportive care. Lung Cancer 2002; 37: 219-25.
3. Little RJA, Rubin DB. Statistical analysis with missing data. John Wiley and Sons, New York, 1987.
4. Rubin DB. Multiple imputation for nonresponse in surveys. John Wiley and Sons, New York, 1987.
5. Barber JA, Thompson SG. Analysis of cost data in randomized trials: an application of the non-parametric bootstrap. Stat Med 2000; 19: 3219-36.
6. Schafer JL. Analysis of incomplete multivariate data. Chapman and Hall, London, 1997.
7. Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods 2002; 7: 147-77.
8. Briggs A, Clark T, Wolstenholme, Clarke P. Missing. . . Presumed at random: cost analysis of incomplete data. Health Econ 2003; 12: 377-92.
9. Schafer JL, Olsen MK. Modelling and imputation of semicontinuous survey variables. The Methodology Center, Penn State University, USA, Technical report 1999. Available at http://methodology.psu.edu/publications/fcsmfinal.pdf. Accessed 6 January 2005.
10. Schafer JL. NORM Version 2.02 for windows: multiple imputation of incomplete multivariate data under a normal model. Available at http://www.stat.psu.edu/~jls/misoftwa.html. Accessed 6 January 2005.
11. Briggs AH, Gray AM. Handling uncertainty when performing economic evaluations of healthcare interventions. Health Technol Assess 1999; 3(2).
12. Carpenter J, Bithell J. Bootstrap confidence intervals: when, which, what? A practical guide for medical statisticians. Stat Med 2000; 19: 1141-64.
13. R Development Core Team (2005). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org. Accessed 6 January 2006.
14. Efron B. Missing data, imputation and the bootstrap. JASA 1994; 89: 463-75.
15. Hoch JS, Briggs AH, Willan AR. Something old, something new, something borrowed, something blue: a framework for the marriage of health econometrics and cost-effectiveness analysis. Health Econ 2002; 11: 415-30.
16. Lothgren M, Zethraeus N. Definition, interpretation and calculation of cost-effectiveness acceptability curves. Health Econ 2000; 9: 623-30.
17. Scheffer J. Dealing with missing data. Res Lett Inf Math Sci 2002; 3: 153-60. Available at http://www.massey.ac.nz/ ~wwiims/research/letters/volume3number1. Accessed 6 January 2006.
18. Javaras KN, Van Dyk DA. Multiple imputation for incomplete data with semicontinuous variables. JASA 2003; 98: 703-15.
19. van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Stats Med 1999; 18: 681-94.
20. Thompson SG, Nixon RM. How sensitive are cost-effectiveness analyses to choice of parametric distributions? Med Decis Making 2005; 25: 416-23.
21. Heitjan DF, Kim CY, Li H. Bayesian estimation of cost effectiveness from censored data. Stats Med 2004; 23: 1297-309.