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Modeling transition rates using panel current-status data: How serious is the bias?

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  • Douglas Wolf
  • Thomas Gill

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  • Douglas Wolf & Thomas Gill, 2009. "Modeling transition rates using panel current-status data: How serious is the bias?," Demography, Springer;Population Association of America (PAA), vol. 46(2), pages 371-386, May.
  • Handle: RePEc:spr:demogr:v:46:y:2009:i:2:p:371-386
    DOI: 10.1353/dem.0.0057
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    1. Scott M. Lynch & J. Scott Brown & Katherine G. Harmsen, 2003. "The Effect of Altering ADL Thresholds on Active Life Expectancy Estimates for Older Persons," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 58(3), pages 171-178.
    2. Eileen Crimmins & Mark Hayward & Yasuhiko Saito, 1994. "Changing mortality and morbidity rates and the health status and life expectancy of the older population," Demography, Springer;Population Association of America (PAA), vol. 31(1), pages 159-175, February.
    3. Douglas A. Wolf & Carlos F. Mendes de Leon & Thomas A. Glass, 2007. "Trends in Rates of Onset of and Recovery From Disability at Older Ages: 1982–1994," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 62(1), pages 3-10.
    4. Kenneth Land & Jack Guralnik & Dan Blazer, 1994. "Estimating Increment-Decrement Life Tables with Multiple Covariates from Panel Data: The Case of Active Life Expectancy," Demography, Springer;Population Association of America (PAA), vol. 31(2), pages 297-319, May.
    5. Norton, Edward C., 1992. "Incentive regulation of nursing homes," Journal of Health Economics, Elsevier, vol. 11(2), pages 105-128, August.
    6. Zeng Yi & Gu Danan & Kenneth Land, 2004. "A new method for correcting under-estimation of disabled life expectancy and an application to the chinese oldest-old," Demography, Springer;Population Association of America (PAA), vol. 41(2), pages 335-361, May.
    7. Afschin Gandjour & Eva-Julia Weyler, 2006. "Cost-effectiveness of referrals to high-volume hospitals: An analysis based on a probabilistic Markov model for hip fracture surgeries," Health Care Management Science, Springer, vol. 9(4), pages 359-369, November.
    8. Matthews, Ruth J. & Smith, Lucy K. & Hancock, Ruth M. & Jagger, Carol & Spiers, Nicola A., 2005. "Socioeconomic factors associated with the onset of disability in older age: a longitudinal study of people aged 75 years and over," Social Science & Medicine, Elsevier, vol. 61(7), pages 1567-1575, October.
    9. Sueyoshi, Glenn T., 1992. "Semiparametric proportional hazards estimation of competing risks models with time-varying covariates," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 25-58.
    10. Liming Cai & Nathaniel Schenker & James Lubitz, 2006. "Analysis of functional status transitions by using a semi‐Markov process model in the presence of left‐censored spells," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(4), pages 477-491, August.
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    Cited by:

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    2. Christian Dudel & Mikko Myrskylä, 2017. "Working Life Expectancy at Age 50 in the United States and the Impact of the Great Recession," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2101-2123, December.
    3. Christian Dudel, 2017. "Expanding the Markov chain tool box: distributions of occupation times and waiting times," MPIDR Working Papers WP-2017-017, Max Planck Institute for Demographic Research, Rostock, Germany.
    4. Jan Beyersmann & Hein Putter, 2014. "A note on computing average state occupation times," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 30(62), pages 1681-1696.
    5. Michal Engelman & Heide Jackson, 2019. "Gradual Change, Homeostasis, and Punctuated Equilibrium: Reconsidering Patterns of Health in Later Life," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2323-2347, December.
    6. Christian Dudel, 2021. "Expanding the Markov Chain Toolbox: Distributions of Occupation Times and Waiting Times," Sociological Methods & Research, , vol. 50(1), pages 401-428, February.
    7. Frans Willekens & Hein Putter, 2014. "Software for multistate analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 31(14), pages 381-420.
    8. David Warner & Mark Hayward & Melissa Hardy, 2010. "The Retirement Life Course in America at the Dawn of the Twenty-First Century," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(6), pages 893-919, December.
    9. Jielu Lin & Jessica A. Kelley-Moore, 2017. "From Noise to Signal: The Age and Social Patterning of Intra-Individual Variability in Late-Life Health," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 72(1), pages 168-179.
    10. Agree Emily M. & Wolf Douglas A., 2018. "Disability Measurement in the Health and Retirement Study," Forum for Health Economics & Policy, De Gruyter, vol. 21(1), pages 1-14, June.
    11. Robert Hauser & David Weir, 2010. "Recent developments in longitudinal studies of aging in the United States," Demography, Springer;Population Association of America (PAA), vol. 47(1), pages 111-130, March.
    12. Liming Cai & Mark D. Hayward & Yasuhiko Saito & James Lubitz & Aaron Hagedorn & Eileen Crimmins, 2010. "Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 22(6), pages 129-158.

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