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Ann Thorac Surg 2005;80:1169
© 2005 The Society of Thoracic Surgeons

The statistician's page

Statistical Techniques for Validating Logistic Regression Models

William N. Anderson, PhD *

* Address reprint requests to Dr Anderson, 21672 Montbury Dr, Lake Forest, CA 92630 (Email: wnilesanderson@aol.com).

The first 20% of the full text of this article appears below.

The article by Karkouti and associates [1] in this issue of The Annals of Thoracic Surgery makes effective use of two analytic methods that are often overlooked in analyzing clinical data series. Both involve assessment of the quality of the logistic regression model, which is central to the conclusions drawn in the article. The methodology of this article can serve as a good example for other articles submitted to The Annals.

Logistic regression is used in the article to study the relationship of hematocrit to stroke. The article presented both the c-index and Hosmer-Lemeshow tests to assess the accuracy of the logistic model, and the fit is certainly reasonable in this case. Both this use of a logistic model and the validation method are standard.

However, . . . [Full Text of this Article]


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Low Hematocrit During Cardiopulmonary Bypass is Associated With Increased Risk of Perioperative Stroke in Cardiac Surgery
Keyvan Karkouti, George Djaiani, Michael A. Borger, William S. Beattie, Ludwik Fedorko, Duminda Wijeysundera, Joan Ivanov, and Jacek Karski
Ann. Thorac. Surg. 2005 80: 1381-1387. [Abstract] [Full Text] [PDF]





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