Title: 因果關係的進一步研究
An Advanced Study for Causal Effect
Authors: 彭恩榮
Peng, En-Jung
Chen, Lin-An
Keywords: 因果關係;直接效果;間接效果;causal effect;direct effect;indirect effect
Issue Date: 2017
Abstract: 本論文的第一個目的是研究有沒有可能在X並非Y的成因(cause),但統計分析資料卻發現它們有統計相關。這就是擾亂(confounding)效果。第二個目的在於研究變數X為因對Y的效果之理論研究並進行模擬分析。最後我們將提出一個實際資料分析的結果。
The first aim of this thesis is to study confounding effect in causal inference. It is to see when variable X is not a cause of response Y but we see the presence of statistical association between X and Y. The second aim is to study the theory of causal effect of X as the cause of response variable Y and conduct a simulation study of this causal effect. Finally we want to conduct a data analysis on causal effect.
URI: http://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070452619
Appears in Collections:Thesis