教師資料查詢 | 類別: 會議論文 | 教師: 陳麗菁 Li Ching Chen (瀏覽個人網頁)

標題:An Information Matrix Goodness-of-Fit Test of the Conditional Logistic Model for Matched Case-Control Studies
學年105
學期2
發表日期2017/04/27
作品名稱An Information Matrix Goodness-of-Fit Test of the Conditional Logistic Model for Matched Case-Control Studies
作品名稱(其他語言)
著者Chen, Li-Ching
作品所屬單位
出版者
會議名稱The ICCSDA 2017 : 19th International Conference on Computational Statistics and Data Analysis
會議地點Kyoto
摘要The case-control design has been widely applied in clinical and epidemiological studies to investigate the association between risk factors and a given disease. The retrospective design can be easily implemented and is more economical over prospective studies. To adjust effects for confounding factors, methods such as stratification at the design stage and may be adopted. When some major confounding factors are difficult to be quantified, a matching design provides an opportunity for researchers to control the confounding effects. The matching effects can be parameterized by the intercepts of logistic models and the conditional logistic regression analysis is then adopted. This study demonstrates an information-matrix-based goodness-of-fit statistic to test the validity of the logistic regression model for matched case-control data. The asymptotic null distribution of this proposed test statistic is inferred. It needs neither to employ a simulation to evaluate its critical values nor to partition covariate space. The asymptotic power of this test statistic is also derived. The performance of the proposed method is assessed through simulation studies. An example of the real data set is applied to illustrate the implementation of the proposed method as well.
關鍵字conditional logistic model;goodness-of-fit;information matrix;matched case-control studies
語言英文
收錄於
會議性質國際
校內研討會地點
研討會時間20170427~20170428
通訊作者
國別日本
公開徵稿
出版型式
出處.
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