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Survival analysis using Medicare data: example and methods.

B A Virnig, A Ash, S Kind

    Health Services Research
    |September 9, 2005
    PubMed
    Summary
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    Survival analyses are valuable for understanding outcomes over time. Key methods and issues using Medicare administrative data are described, showing these analyses are feasible.

    Area of Science:

    • Health Services Research
    • Biostatistics
    • Epidemiology

    Background:

    • Survival analysis is an underutilized statistical method.
    • Administrative data, such as Medicare files, offer rich information for research.

    Purpose of the Study:

    • To outline essential methods for survival analysis.
    • To discuss challenges in survival analysis using administrative data.
    • To highlight the utility of Medicare data for these analyses.

    Main Methods:

    • Utilizing administrative data for cohort identification.
    • Defining event occurrences within datasets.
    • Applying censoring techniques for incomplete observations.
    • Adjusting for covariates in survival models.

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    Main Results:

    • Medicare data possess the necessary components for survival analysis.
    • Key elements include cohort definition, event identification, censoring, and covariate adjustment.
    • Survival analyses are informative for outcomes where timing is critical.

    Conclusions:

    • Survival analyses are readily executable using administrative data.
    • Administrative datasets provide a practical foundation for conducting survival analyses.