The case-crossover and case-time-control designs in pharmacoepidemiology

Peter T. Donnan, Jixian Wang

    Research output: Contribution to journalArticle

    13 Citations (Scopus)

    Abstract

    In carrying out drug safety studies on observational data, one of the major difficulties in assessing causality is that the allocation of treatment is non-random. In observational studies, the indication or reasons for prescribing a drug may be associated with the outcome, which is termed confounding by indication. Other sources of bias include confounding by severity,the protopathic bias and selection bias. The traditional methods of dealing with confounders include matching, stratification and covariate-adjusted regression, and more recently, the use of propensity score methods. One study design proposed by Maclure, the case-crossover design, can in certain circumstances, eliminate control selection bias and confounding by constant within-subject characteristics.
    Original languageEnglish
    Pages (from-to)259-262
    Number of pages4
    JournalPharmacoepidemiology and Drug Safety
    Volume10
    Issue number3
    DOIs
    Publication statusPublished - May 2001

    Fingerprint

    Pharmacoepidemiology
    Selection Bias
    Observational Studies
    Drug Prescriptions
    Propensity Score
    Causality
    Cross-Over Studies
    Safety
    Pharmaceutical Preparations
    Therapeutics

    Cite this

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    abstract = "In carrying out drug safety studies on observational data, one of the major difficulties in assessing causality is that the allocation of treatment is non-random. In observational studies, the indication or reasons for prescribing a drug may be associated with the outcome, which is termed confounding by indication. Other sources of bias include confounding by severity,the protopathic bias and selection bias. The traditional methods of dealing with confounders include matching, stratification and covariate-adjusted regression, and more recently, the use of propensity score methods. One study design proposed by Maclure, the case-crossover design, can in certain circumstances, eliminate control selection bias and confounding by constant within-subject characteristics.",
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    The case-crossover and case-time-control designs in pharmacoepidemiology. / Donnan, Peter T.; Wang, Jixian.

    In: Pharmacoepidemiology and Drug Safety, Vol. 10, No. 3, 05.2001, p. 259-262.

    Research output: Contribution to journalArticle

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