CAJ | 학술논문

流行病学病因学研究常运用logistic回归模型分析影响因素的作用,并利用纳入乘积项的方法分析因素间交互作用,如有统计学意义表示两因素间存在相乘交互作用,但乘积项若无统计学意义并不表示两因素问相加交互作用或生物学交互作用的有无.文中介绍Rothman提出的针对logistic或Cox回归模型的三个评价相加交互作用的指标及其可信区间的计算,并以SPSS 15.0软件应用实例分析得出logistic回归模型的参数估计值和协方差矩阵,引入Andersson等编制的Excel计算表,计算相加交瓦作用指标及其可信区间,用于评价因素间的相加交互作用,为研究人员分析生物学交互作用提供依据.该方法方便快捷,且Excel计算表可在线免费下载.
류행병학병인학연구상운용logistic회귀모형분석영향인소적작용,병이용납입승적항적방법분석인소간교호작용,여유통계학의의표시량인소간존재상승교호작용,단승적항약무통계학의의병불표시량인소문상가교호작용혹생물학교호작용적유무.문중개소Rothman제출적침대logistic혹Cox회귀모형적삼개평개상가교호작용적지표급기가신구간적계산,병이SPSS 15.0연건응용실례분석득출logistic회귀모형적삼수고계치화협방차구진,인입Andersson등편제적Excel계산표,계산상가교와작용지표급기가신구간,용우평개인소간적상가교호작용,위연구인원분석생물학교호작용제공의거.해방법방편쾌첩,차Excel계산표가재선면비하재.
When study on epidemiological causation is carried out,logistic regression has been commonly used to estimate the independent effects of risk factors.as well as to examine possible interactions among individual risk factor by adding one or more product terms to the regression model.In logistic or Cox's regression model.the regression coefficient of the product term estimates the interaction on a muhiplicative scale while statistical significance indicates the departure from multiplicativity.Rothman argues that when biologic interaction iS examined,we need to focus on interaction as departure from additivity rather than departure from multiplicativity.He presents three indices to measure interaction on an additive scale or departure from additivity.using logarithmic models such aS logistic or Cox's regression model.In this paper,we use data from a case-control study of female lung cancer in Hong Kong to calculate the regression coefficients and covariance matrix of logistie model in SPSS.We then introduce an Excel spreadsheet set up by Tomas Andersson to calculate the indices of interaction on an additive scale and the corresponding confidence intervals.The results can be used as reference by epidemiologists to assess the biologic interaction between factors.The proposed method is convenient and the Excel spreadsheet is available online for free.