- A Generalized Mixed-Effects Model for Vaccination Data
- A Generalized Mixed-Effects Model for Vaccination Data
- ㆍ 저자명
- Choi. Jae-Sung
- ㆍ 간행물명
- 한국데이터정보과학회지
- ㆍ 권/호정보
- 2004년|15권 2호|pp.379-386 (8 pages)
- ㆍ 발행정보
- 한국데이터정보과학회
- ㆍ 파일정보
- 정기간행물|ENG| PDF텍스트
- ㆍ 주제분야
- 기타
This paper deals with a mixed logit model for vaccination data. The effect of a newly developed vaccine for a certain chicken disease can be evaluated by a noninfection rate after injecting chicken with the disease vaccine. But there are a lot of factors that might affect the noninfecton rate. Some of these are fixed and others are random. Random factors are sometimes coming from the sampling scheme for choosing experimental units. This paper suggests a mixed model when some fixed factors need to have different experimental sizes by an experimental design and illustrates how to estimate parameters in a suggested model.