生物识别与生物统计学杂志

Statistical Analysis of Case-Control Data of Endometrial Cancer Based on New Asymmetry Models

Abstract

Kouji Yamamoto and Sadao Tomizawa

Background: For the data from the Los Angeles study in Breslow and Day of endometrial cancer and obtained from the 59 matched pairs using four dose levels of conjugated oestrogen, this study proposes new statistical models and gives an easy interpretation, as an approach to assess the data more properly. Methods: Proposing new statistical models for analyzing the endometrial cancer data, we apply them to the data, compare and assess the models considered here. Results: We have found a more preferable model which fits the data better than some existing models. Under the preferable model, we have seen that the average dose of oestrogen for case in a matched pair tends to be more than that for control in the pair. Conclusions: We have proposed two kinds of statistical models and made a conclusion that average dose for case tends to be more than that for control.