General Research Statistics : A Comparison Study of Multivariate Binary and Continuous Outcomes
  • 분야
  • 저자
  • 발행기관
  • 간행물정보
  • 파일형식
  • 구매가격
  • 적립금
이메일 발송  스크랩 하기
자료 다운로드  네이버 로그인
Multivariate data are often generated with multiple outcomes in various fields. Multiple outcomes could be mixed as continuous and discrete. Because of their complexity, the data are often dealt with by separately applying regression analysis to each outcome even though they are associated the each other. This univariate approach results in the low efficiency of estimates for parameters. We study the efficiency gains of the multivariate approaches relative to the univariate approach with the mixed data that include continuous and binary outcomes. All approaches yield consistent estimates for parameters with complete data. By jointly estimating parameters using multivariate methods, it is generally possible to obtain more accurate estimates for parameters than by a univariate approach. The association between continuous and binary outcomes creates a gap in efficiency between multivariate and univariate approaches. We provide a guidance to analyze the mixed data.
사업자등록번호 220-87-87785 대표.신현웅 주소.서울시 서초구 방배로10길 18, 402호 대표전화.070-8809-9397
개인정보책임자.박정아 통신판매업신고번호 제2017-서울서초-1765호 이메일
copyright (c) 2009 happynlife. steel All reserved.