What question did this study set out to answer?

To derive and evaluate accurate mathematical formulae for determining required sample sizes in self-controlled case series designs, both with and without accounting for age effects.

December 22, 2005Statistics in Medicine

Sample sizes for self-controlled case series studies

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To derive and evaluate accurate mathematical formulae for determining required sample sizes in self-controlled case series designs, both with and without accounting for age effects.
Derived multiple sample size formulae for self-controlled case series studies without age effects, including an approach using the signed root likelihood ratio statistic.
Evaluated the statistical performance and validity of each formula across diverse simulated scenarios.
Generalized the best-performing formula to accommodate confounding from age effects across observation periods.
The sample size formula grounded in the signed root likelihood ratio statistic demonstrated superior performance compared to alternative formulations under simulation without age effects.
Simulations demonstrated that age effects substantially shift sample size requirements, and the extended formula reliably handled these effects across a broad range of situations.

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Implication

Methodological study demonstrates robust sample size calculation methods for self-controlled case series designs, highlighting accurate study planning across varying age effects.

Cite This Study

Musonda et al. (2005) studied this question.

synapsesocial.com/papers/6a99a101951a91d49aabaede https://doi.org/10.1002/sim.2477

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Implication

Methodological study demonstrates robust sample size calculation methods for self-controlled case series designs, highlighting accurate study planning across varying age effects.

Sample sizes for self-controlled case series studies

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Discussion

Implication

Cite This Study

Sample sizes for self-controlled case series studies

Key Points

Discussion

Implication

Cite This Study

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