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SCCSDTA: Stata module to generate a dataset for the self-controlled case series method (SCCS)

Author

Listed:
  • Niels Henrik Bruun

    (Aalborg University Hospital)

Programming Language

Stata

Abstract

The SCCS method examines the association between a time-varying exposure and an event outcome. The study samples only cases, and it requires that an event has occurred during the observation period. The method doesn't compare incidences for cases with incidences for references. Instead, it contrasts incidences in periods of risk with incidences in periods where the case is not at risk. In this approach, cases serve as their control for fixed confounders. It's feasible to adjust for time effects such as age. The intervals are marked by risk, time, and individual. For each interval, the number of incidences and the width of the interval are determined.

Suggested Citation

  • Niels Henrik Bruun, 2024. "SCCSDTA: Stata module to generate a dataset for the self-controlled case series method (SCCS)," Statistical Software Components S459326, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459326
    Note: This module should be installed from within Stata by typing "ssc install sccsdta". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/sccsdta.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sccsdta.sthlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/s/sccsdta_mmr.dta
    File Function: sample data file
    Download Restriction: no
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