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  • 标题:PATH ANALYSIS WITH LOGISTIC REGRESSION MODELS : EFFECT ANALYSIS OF FULLY RECURSIVE CAUSAL SYSTEMS OF CATEGORICAL VARIABLES
  • 本地全文:下载
  • 作者:Nobuoki Eshima ; Minoru Tabata ; Geng Zhi
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2001
  • 卷号:31
  • 期号:1
  • 页码:1-14
  • DOI:10.14490/jjss1995.31.1
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:This paper discusses path analysis of categorical variables with logistic regression models. The total, direct and indirect effects in fully recursive causal systems are considered by using model parameters. These effects can be explained in terms of log odds ratios, uncertainty differences, and an inner product of explanatory variables and a response variable. A study on food choice of alligators as a numerical exampleis reanalysed to illustrate the present approach.
  • 关键词:Categorical variable;Direct effect;Indirect effect;Log odds ratio;Logistic regression model;Recursive causal system;Total effect
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