Confounder (Data Science): 편집 역사

2024년 11월 29일 (금)

• 최신이전 14:322024년 11월 29일 (금) 14:32‎ Fortify 토론 기여‎ 3,025 바이트 +3,025‎ Created page with "'''Confounder''' is a variable that influences both the dependent variable and one or more independent variables, potentially leading to a spurious association or bias in the analysis. In data science, identifying and addressing confounders is crucial to ensure the validity of causal inferences and statistical models. ==Overview== Confounders introduce bias by creating a false relationship between the variables of interest. If not properly controlled, they can lead to in..." 태그: 시각 편집