wangchunjie
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- Professor
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):wangchunjie
- Date of Birth:1978-09-18
- E-Mail:
- Date of Employment:2004-06-30
- School/Department:长春工业大学
- Administrative Position:院长
- Education Level:With Certificate of Graduation for Doctorate Study
- Business Address:新图书馆614
- Contact Information:0431-85716480
- Degree:Doctoral degree
- Professional Title:Professor
- Status:Employed
- Alma Mater:吉林大学
- Teacher College:数学与统计学院
- Discipline:Other specialties in Statistics
Contact Information
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- Paper Publications
Regression Analysis of Current Status Data with Latent Variables
Release time:2022-06-12 Hits:
- Impact Factor:1.588
- Affiliation of Author(s):数学与统计学院
- Teaching and Research Group:统计教研室
- Journal:Lifetime Data Analysis
- Key Words:Additive hazard model, Corrected estimating equations, Current status data, Factor analysis
- Abstract:Current status data occur in many fields including demographical, epidemiological, financial, medical, and sociological studies. We consider the regression analysis of current status data with latent variables. The proposed model consists of a factor analytic model for characterizing latent variables through their multiple surrogates and an additive hazard model for examining potential covariate effects on the hazards of interest in the presence of current status data. We develop a borrow-strength estimation procedure that incorporates the expectation–maximization algorithm and correlated estimating equations. The consistency and asymptotic normality of the proposed estimators are established. A simulation study is conducted to evaluate the finite sample performance of the proposed method. A real-life study on the chronic kidney disease of type 2 diabetic patients is presented.
- Indexed by:Journal paper
- Volume:27
- Issue:3
- Page Number:413–436
- Translation or Not:no
- Date of Publication:2021-03-14
- Included Journals:SCI