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Testing equality of risk ratios in multiple 2x2 tables with structural zero

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  • Tang, Nian-Sheng
  • Jiang, Shao-Ping

Abstract

This paper investigates the equality test of risk ratios in multiple 2x2 tables with structural zero, which is formed by a confounding factor such as age, gender, severity of disease, region or other variables of interest. Score statistic, Wald statistic and likelihood ratio statistic for testing equality of risk ratios in multiple 2x2 tables with structural zero are proposed. Three procedures for calculating p-values of the above three statistics based on the MaxT, MinP and Bonferroni methods are developed. An algorithm for determining sample size required for attaining the pre-specified power is presented. Empirical results show that (1) likelihood ratio statistic and score statistic via the MaxT and MinP methods behave satisfactorily in the sense that their type I error rates are close to the pre-given significance level; (2) the Wald-type statistic with logarithmic transformation behaves better than the Wald-type statistic. Simulation studies and a real example are used to illustrate the proposed methodologies.

Suggested Citation

  • Tang, Nian-Sheng & Jiang, Shao-Ping, 2011. "Testing equality of risk ratios in multiple 2x2 tables with structural zero," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1273-1284, March.
    • Handle: RePEc:eee:csdana:v:55:y:2011:i:3:p:1273-1284
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    References listed on IDEAS

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    1. Nian-Sheng Tang & Man-Lai Tang, 2002. "Exact Unconditional Inference for Risk Ratio in a Correlated 2 × 2 Table with Structural Zero," Biometrics, The International Biometric Society, vol. 58(4), pages 972-980, December.
    2. Jun-Mo Nam, 1999. "Power and Sample Size for Testing Homogeneity of Relative Risks in Prospective Studies," Biometrics, The International Biometric Society, vol. 55(1), pages 289-293, March.
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    Cited by:

    1. James Stamey & Will Stamey, 2024. "A Bayesian Hierarchical Model for 2-by-2 Tables with Structural Zeros," Stats, MDPI, vol. 7(4), pages 1-13, October.

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