A two-part model for censored medical cost data

Statistics in Medicine

Volumn 26, Issue 23, 2007, Pages 4273-4292

  Tian, Lu ^a   Huang, Jie ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Cost data; Informative censoring; Inverse probabilty weighting; Two part model

Indexed keywords

ARTICLE; BIOSTATISTICS; CARDIOVASCULAR DISEASE; CARDIOVASCULAR RISK; COST BENEFIT ANALYSIS; DATA ANALYSIS; FOLLOW UP; HEALTH CARE COST; HUMAN; MATHEMATICAL ANALYSIS; MEDICARE; PROBABILITY; RISK FACTOR; SIMULATION; STATISTICAL MODEL;

COST-BENEFIT ANALYSIS; DATA INTERPRETATION, STATISTICAL; HEALTH CARE COSTS; MODELS, STATISTICAL;

EID: 34548741391     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2847     Document Type: Article

References (37)

1. Diehr P, Yanez D, Ash A, Hornbrook M, Lin DY. Methods for analyzing health care utilization and costs. Annual Reviews of Public Health 1999; 20:125-144.
2. Zhou XH, Tu W. Comparison of several population means when their samples contain non-zero log-normal and possibly zero observations. Biometrics 1999; 55:645-651.
3. Zhou XH, Tu W. Confidence intervals for the mean of diagnostic test charge data containing zeros. Biometrics 2000; 56:1118-1125.
4. Tobin J. Estimation of relationships for limited dependent variables. Econometrica 1958; 89:24-36.
5. Heckman JJ. Sample selection bias as a specification error. Econometrica 1979; 47:153-161.
6. Manning WG, Duan N, Rogers WH. Monte Carlo evidence on the choice between sample selection and two-part models. Journal of Econometrics 1987; 35:59-82.
7. Basu A, Manning WG, Mullahy J. Comparing alternative models: Log vs. Cox proportional hazards. Health Economics 2004; 13:749-765.
8. Dudley RA, Harrell FE, Smith LR, Mark DB, Califf RM, Pryor DB, Glower D, Lipscomb J, Hlatky MA. Comparison of analytic models for estimating the effect of clinical factors on the cost of coronary artery bypass graft surgery. Journal of Clinical Epidemiology 1993; 46(3):261-271.
9. Jain AK, Strawderman RL. Flexible hazard regression modeling for medical cost data. Biostatistics 2002; 3:101-118.
10. Duan N, Manning WG, Morris CN, Newhouse JP. A comparison of alternative models for the demand for medical care. Journal of Business and Economic Statistics 1983; 1:115-126.
11. Mullahy J. Much ado about two: reconsidering retransformation and the two-part model in health econometrics. Journal of Health Economics 1998; 17:247-281.
12. Zhou XH, Liang H. Semi-parametric single-index two-part regression models. Computational Statistics and Data Analysis 2006; 50(5):1378-1390.
13. Olsen MK, Schafer JL. A two-part random-effects model for semicontinuous longitudinal data. Journal of the American Statistical Association 2001; 96:730-745.
14. Duan N. Smearing estimate: a nonparametric retransformation method. Journal of the American Statistical Association 1983; 78:605-610.
15. Zhou XH, Stroupe KT, Tierney WM. Regression analysis of heath care charges with heteroscedasticity. Journal of the Royal Statistical Society 2001; 50(3):303-312.
16. Lin DY, Feuer EJ, Etzioni R, Wax Y. Estimating medical costs from incomplete follow-up data. Biometrics 1997; 53:419-434.
17. Lin DY. Linear regression analysis of censored medical costs. Biostatistics 2000; 1(1):35-47.
18. Lin DY. Regression analysis of incomplete medical cost data. Statistics in Medicine 2003; 22(7):1181-1200.
19. Bang H, Tsiatis AA. Estimating medical costs with censored data. Biometrika 2000; 87(2):329-343.
20. Bang H, Tsiatis AA. Median regression with censored cost data. Biometrics 2002; 58(3):643-649.
21. Zhao H, Tian L. On estimating medical cost and incremental cost-effectiveness ratios with censored data. Biometrics 2001; 57(4):1002-1008.
22. Robin JM, Rotnitzky A, Zhao LP. Estimation of regression coefficients when some regressors are not always observed. Journal of the American Statistical Association 1994; 89:846-866.
23. van der Laan MJ, Hubbard A. Locally efficient estimation of the quality-adjusted lifetime distribution with right-censored data and covariates. Biometrics 1999; 55:530-536.
24. Zhao H, Tsiatis AA. A consistent estimator for the distribution of quality adjusted survival time. Biometrika 1997; 84:339-348.
25. Zhao H, Tsiatis AA. Efficient estimation of the distribution of quality-adjusted survival time. Biometrics 1999; 55:1101-1107.
26. Lin DY, Wei LJ, Ying Z. Checking the cox model with cumulative sums of martingale-based residuals. Biometrika 1993; 80(3):557-572.
27. Lin DY, Wei LJ, Ying Z. Model-Checking techniques based on cumulative residuals. Biometrics 2002; 58:1-12.
28. Manning WG, Basu A, Mullahy J. Generalized modeling approaches to risk adjustment of skewed outcomes data. Journal of Health Economics 2005; 24:465-488.
29. Liang KY, Zeger SL. Longitudinal data analysis using generalized linear models. Biometrika 1986; 73(1):13-22.
30. Zeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics 1986; 42: 121-130.
31. Fleming TR, Harrington DP. Counting Processes and Survival Analysis. Wiley: New York, 1991; 201-228.
32. Daviglus M, Liu K, Greenland P, Dyer AR, Garside DB, Manheim L, Lowe LP, Rodin M, Lubitz J, Stamler J. Benefit of a favorable cardiovascular risk-factor profile in middle age with respect to medicare costs. New England Journal of Medicine 1998; 339:1122-1129.
33. Qu A, Lindsay BG, Li B. Improving generalised estimating equations using quadratic inference functions. Biometrika 2000; 87(4):823-836.
34. Donald SG, Newey WK. Choosing the number of instruments. Econometrica 2001; 69(5):1161-1191.
35. Fine JP, Gelber RD. Joint regression analysis of survival and quality-adjusted survival. Biometrics 2001; 57(2): 376-382.
36. Willan AR, Lin DY, Cook RJ, Chen EB. Using inverse-weighting in cost-effectiveness analysis with censored data. Statistical Methods in Medical Research 2002; 11(6):539-551.
37. Willan AR, Lin DY, Manca A. Regression methods for cost-effectiveness analysis with censored data. Statistics in Medicine 2005; 24:131-145.