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September 1, 1963Journal of the American Statistical Association2,631 citations

Chi-Square Tests with One Degree of Freedom; Extensions of the Mantel-Haenszel Procedure

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NMNathan MantelUniversity of Southern California

Key Points

  • Extend the Mantel-Haenszel procedure for multiple 2×2 contingency tables to accommodate ordered multi-row and multi-column tables across diverse biomedical applications.
  • Generalized the mathematical formulation by assigning numerical scores to ordered or continuous row and column categories across multiple stratified contingency tables.
  • Calculated the deviation of cross-product sums from expectation and their conditional variances across tables to construct a summary one-degree-of-freedom chi-square statistic.
  • Expanded practical applications to include age-adjusted mortality rates, life-table survival comparisons, quantal dosage-response curves, and laboratory experiments.
  • Demonstrated that the scoring framework equates asymptotically to various established non-parametric test procedures.

Abstract

Abstract A published method for analyzing multiple 2×2 contingency tables arising in retrospective studies of disease is extended in application and form. Extensions of application include comparisons of age-adjusted death rates, life-table analyses, comparisons of two sets of quantal dosage-response data, and miscellaneous laboratory applications as appropriate. Extensions in form involve considering multiple contingency tables with arbitrarily many rows and/or columns, where rows and columns are orderable, and may even be on a continuous scale. The assignment of some score for each row or column is essential to use of the method. With scores assigned, a deviation of the sum of cross products from expectation, and its variance conditioned on all marginal totals, are computed for each table and a chi square is determined corresponding to the grand total of the deviations. For various specific instances and for various scoring procedures, the procedure extends or is equivalent to the asymptotic form of many known non-parametric techniques.

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Cite This Study

Nathan Mantel (1963) studied this question.

synapsesocial.com/papers/6943774bb84345e3eab32e98https://doi.org/10.1080/01621459.1963.10500879
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