關鍵字查詢 | 類別:會議論文 | | 關鍵字:Regression analysis for multivariate current status data

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序號 學年期 教師動態
1 97/2 統計系 陳蔓樺 副教授 會議論文 發佈 Regression analysis for multivariate current status data , [97-2] :Regression analysis for multivariate current status data會議論文Regression analysis for multivariate current status data陳蔓樺淡江大學統計學系interval-censoring; random effect model approach; multivariate failure time data; the frailty odds model高雄市:中山大學應用數學系第十八屆南區統計研討會=The 18th South Taiwan Statistics ConferenceA voluminous literature on right-censored failure time data has been developed in the past 30 years. Due to advances in biomedical research, interval censoring has become increasingly common in medical follow-up studies. Additional problems arise in the analysis of multivariate interval-censored failure time data. I will present regression analysis of multivariate interval-censored failure time data using the frailty model approach. Based on the most commonly used regression model, the proportional hazards model, the frailty model approach considers the random effect directly models the correlation between multivariate failure times. The analysis is focused on current status or case I interva
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