응용통계연구 (The Korean Journal of Applied Statistics)

  • 제13권2호
  • /
  • Pages.237-245
  • /
  • 2000
  • /
  • 1225-066X(pISSN)
  • /
  • 2383-5818(eISSN)
한국통계학회 (The Korean Statistical Society)
권호 표지

2단계 사례-대조자료를 위한 로지스틱 회귀모형의 추론

Estimation of Logistic Regression for Two-Stage Case-Control Data

  • 신미영 (가톨릭대학교 자연과학부) ;
  • 신은순 (동국대학교 통계학과)
  • 발행 : 2000.09.01
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초록

이 논문에서는 2단계 계획 하에서의 사례-대조 자료를 로지스틱 회귀 모형에 적합시키고 WESML방법으로 모수를 추정하며 추정량의 점근분포를 찾는다. 또한 WESML,방법과 CML 방법으로 얻은 모수의 추정량과 표준오차를 실제 자료를 이용하여 비교한다.

In this paper we consider a logistic regression model based on two-stage case-control sampling and study the Weighted Exogeneous Sampling Maximum Likelihood(WESML) method to get an asymptotically normal estimates of the parameters in a logistic regression model. A numerical example is carried out to demonstrate the differences between the Conditional Maximum Likelihood(CML) estimates and the WESML estimates for two-stage case-control data.

키워드

참고문헌

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  9. American Journal of Epidemiology v.115 A two stage design for the study or the relationship between a rare exposure and a rare disease White, J. E.
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