شماره ركورد كنفرانس :
4109
عنوان مقاله :
Longitudinal data analysis using Liu regression
پديدآورندگان :
Rahmani M Department of Statistics, Shahrood University of Technology, Shahrood, Iran , Arashi M Department of Statistics, Shahrood University of Technology, Shahrood, Iran
كليدواژه :
EM , algorithm , Liu regression , Longitudinal , Mixed model.
عنوان كنفرانس :
يازدهمين سمينار ملي احتمال و فرآيندهاي تصادفي
چكيده فارسي :
For understanding and characterizing discase progression over time, Eliot(2011) proposed a mixed ridge regression to account correlated outcomes and potentially high degree of correlated predictors for Biomarker data. However, the ridge estimator is non-linear in nature w.r.t. the ridge parameter λ and hence it is hard to estimate λ. In this paper, we propose a linear unified approach to combat this difficultly. Simulation study shows the usefulness of our approachcompared to the mixed model
