Volume 16 Issue 1
Nov.  2019
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Xiao-Xin He, Shui-Gao Jin. Interaction and Its Solution in Individual Matching Case-control Study[J]. Biomedical and Environmental Sciences, 2003, 16(1): 40-46.
Citation: Xiao-Xin He, Shui-Gao Jin. Interaction and Its Solution in Individual Matching Case-control Study[J]. Biomedical and Environmental Sciences, 2003, 16(1): 40-46.

Interaction and Its Solution in Individual Matching Case-control Study

  • Objective To indicate the deficiency of the classical method for analyzing data on individual matching case-control study in consideration of the interaction between the study factor (exposure) and the matching factor, and to find out a proper method for handling this deficiency. Method First, experimental data with 50 pairs of cases and controls were used for strata analysis according to the values of a matching factor to illustrate the possible interaction between a risk factor (exposure) and the matching factor. Second, a detailed procedure was proposed for analyzing such data. Results Interaction between the study factor and matching factor was demonstrated by using strata analysis and unconditional logistic regression analysis. Therefore the results from the classical analysis for such data might be incorrect. Conclusion Data from individual matching case-control study design should be dealt with strata analysis or multivariate analysis to explore and evaluate the possible interaction between the study factor and matching factor. The conclusion would be valid only after such analysis is conducted.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Interaction and Its Solution in Individual Matching Case-control Study

Abstract: Objective To indicate the deficiency of the classical method for analyzing data on individual matching case-control study in consideration of the interaction between the study factor (exposure) and the matching factor, and to find out a proper method for handling this deficiency. Method First, experimental data with 50 pairs of cases and controls were used for strata analysis according to the values of a matching factor to illustrate the possible interaction between a risk factor (exposure) and the matching factor. Second, a detailed procedure was proposed for analyzing such data. Results Interaction between the study factor and matching factor was demonstrated by using strata analysis and unconditional logistic regression analysis. Therefore the results from the classical analysis for such data might be incorrect. Conclusion Data from individual matching case-control study design should be dealt with strata analysis or multivariate analysis to explore and evaluate the possible interaction between the study factor and matching factor. The conclusion would be valid only after such analysis is conducted.

Xiao-Xin He, Shui-Gao Jin. Interaction and Its Solution in Individual Matching Case-control Study[J]. Biomedical and Environmental Sciences, 2003, 16(1): 40-46.
Citation: Xiao-Xin He, Shui-Gao Jin. Interaction and Its Solution in Individual Matching Case-control Study[J]. Biomedical and Environmental Sciences, 2003, 16(1): 40-46.

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