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مجال التميز |
تميز دراسي وبحثي |
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البحوث المنشورة |
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البحث (1): |
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عنوان البحث: |
Influence and Local Influence for Explained Variation in Survival Analysis |
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رابط إلى البحث: |
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تاريخ النشر: |
16/06/2014 |
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موجز عن البحث: |
The amount of explained variation R2 is an overall measure used to quantify the information in a model and especially how useful the model might be when predicting future observations. explained variation is useful in guiding model choice for all types of predictive regression models, including linear and generalized linear models and survival analysis. In this work we consider how individual observations in a data set can influence the value of various R2 measures proposed for survival analysis including local influence to assess mathematically the effect of small changes. We discuss methodologies for assessing influence on Graf et al.’s R2G measure, Harrell’s C-index and Nagelkerke’s R2N. The ideas are illustrated on data on 1391 patients diagnosed with Diffuse Large B-cell Lymphoma (DLBCL), a major subtype of Non-Hodgkin’s Lymphoma (NHL). |
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المؤتمرات العلمية: |
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المؤتمر (1): |
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عنوان المؤتمر: |
4th International Conference of the ERCIM Working Group on Computing & Statistics |
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تاريخ الإنعقاد: |
19/12/2011 |
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بلد ومكان الإنعقاد: |
London, UK |
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طبيعة المشاركة: |
Poster presentation |
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عنوان المشاركة: |
Explained Variation for Non-Hodgkins Lymphoma Survival:A Review and Comparison |
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ملخص المشاركة: |
We investigate predictive accuracy, especially for Non-Hodgkin’s Lymphoma (NHL) based on a study of 1391 patients followed for 10-years (1992 to 2002). In this area physicians usually use the International Prognostic Index (IPI) to order to identify low and high risk patients (Shipp et al., 1993). We consider whether it is possible to improve on the IPI. Four R2-type measures are used to assess IPI performance for predictive purposes and how it compares with a prognostic index obtained from the data to hand. The measures are: a) the Nagelkerke information gain R2 routinely given in R, b) an R2- measure based on the Brier Score (Graf et al., 1999), c) the Schemper and Henderson survival process measure (Schemper and Henderson, 2000) and d) the Stare et al. ( 2010) explained rank variation. We review and compare through simulation and an analysis of the NHL data. |
المرفقات
- https://uksacb.org/wp-content/uploads/2014/08/CFE-ERCIM_2011_Alotaibi_certificateLondon_0.pdf
- https://uksacb.org/wp-content/uploads/2014/08/Paper-Acceptance-Notice-JMSS-E20140520-01_0.pdf
- https://uksacb.org/wp-content/uploads/2014/08/CFE-ERCIM_2011_Alotaibi_certificateLondon_0.pdf
- https://uksacb.org/wp-content/uploads/2014/08/Paper-Acceptance-Notice-JMSS-E20140520-01_0.pdf
