Including Deaths When Measuring Health Status Over Time

作者: P. Diehr , D. Patrick , T. E. Raghunathan , S. Beresford , S. Hedrick

DOI:

关键词:

摘要: Measuring health status over time is problematic when some subjects die, because death does not have a defined value on most measures. This situation different from the usual missing data problem of dead is, in sense, known. We examined eight strategies for incorporating deaths into such analyses using three measures taken two sets, after which we used computer simulation to explore more fully effect deaths. The differed amount influence given deaths, varying none (deaths were discarded) complete (mortality itself was measure). that gave less tended show favorable changes time, and therefore, favor group had influenced by showed negative favored with fewer choice strategy should depend goals an intervention. For promotion studies, recommend recoding variables estimate probability person will be healthy 2 years (or other period can estimated data).

参考文章(15)
Dawson Jd, Lagakos Sw, Analyzing laboratory marker changes in AIDS clinical trials. Journal of Acquired Immune Deficiency Syndromes. ,vol. 4, pp. 667- 676 ,(1991)
William W. Erdly, Kris A. Bulcroft, Margaret L. Rothman, Susan C. Hedrick, David G. Nickinovich, Effects of VA Adult Day Health Care on Health Outcomes and Satisfaction With Care Medical Care. ,vol. 31, ,(1993)
Marilyn Bergner, Ruth A. Bobbitt, William B. Carter, Betty S. Gilson, The Sickness Impact Profile: development and final revision of a health status measure. Medical Care. ,vol. 19, pp. 787- 805 ,(1981) , 10.1097/00005650-198108000-00001
Richard A. Deyo, Paula Diehr, Donald L. Patrick, Reproducibility and responsiveness of health status measures. Statistics and strategies for evaluation. Controlled Clinical Trials. ,vol. 12, ,(1991) , 10.1016/S0197-2456(05)80019-4
M. L. Durham, S. Beresford, P. Diehr, D. Grembowski, J. A. Hecht, D. L. Patrick, Participation of Higher Users in a Randomized Trial of Medicare Reimbursement for Preventive Services Gerontologist. ,vol. 31, pp. 603- 606 ,(1991) , 10.1093/GERONT/31.5.603
J M Robine, C D Mathers, D Bucquet, Distinguishing health expectancies and health-adjusted life expectancies from quality-adjusted life years. American Journal of Public Health. ,vol. 83, pp. 797- 798 ,(1993) , 10.2105/AJPH.83.6.797
A. H. Zwinderman, Statistical analysis of longitudinal quality of life data with missing measurements. Quality of Life Research. ,vol. 1, pp. 219- 224 ,(1992) , 10.1007/BF00635621
Robert M. Kaplan, John P. Anderson, Albert W. Wu, WM Christopher Mathews, Franklin Kozin, David Orenstein, The Quality of Well-being Scale. Applications in AIDS, cystic fibrosis, and arthritis. Medical Care. ,vol. 27, ,(1989) , 10.1097/00005650-198903001-00003
DONALD B. RUBIN, Inference and missing data Biometrika. ,vol. 63, pp. 581- 592 ,(1976) , 10.1093/BIOMET/63.3.581