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Likelihood-Based Inference of Random Effects and Application in Logistic Regression

우도에 기반한 임의효과에 대한 추론과 로지스틱 회귀모형에서의 응용

  • Received : 2015.03.17
  • Accepted : 2015.03.30
  • Published : 2015.04.30

Abstract

This paper considers inferences of random effects. We show that the proposed confidence distribution (CD) performs well in logistic regression for random intercepts with small samples. Real data analyses are also done to identify the subject effects clearly.

본 논문에서는 임의효과에 대한 추론 문제가 다루어졌으며 이 추론에서 신뢰분포를 사용하는 것이 제안되었다. 신뢰분포를 이용한 방법은 표본의 크기가 작아도 임의절편들이 있는 로지스틱 회귀분석에서 좋은 결과를 보여주었으며, 자료분석을 통해서도 각 개체가 가지는 임의효과들에 대한 세밀한 분석이 가능함을 확인하였다.

Keywords

References

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