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37 lines
1.3 KiB
Plaintext
Executable File
37 lines
1.3 KiB
Plaintext
Executable File
1. Title: Haberman's Survival Data
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2. Sources:
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(a) Donor: Tjen-Sien Lim (limt@stat.wisc.edu)
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(b) Date: March 4, 1999
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3. Past Usage:
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1. Haberman, S. J. (1976). Generalized Residuals for Log-Linear
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Models, Proceedings of the 9th International Biometrics
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Conference, Boston, pp. 104-122.
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2. Landwehr, J. M., Pregibon, D., and Shoemaker, A. C. (1984),
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Graphical Models for Assessing Logistic Regression Models (with
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discussion), Journal of the American Statistical Association 79:
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61-83.
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3. Lo, W.-D. (1993). Logistic Regression Trees, PhD thesis,
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Department of Statistics, University of Wisconsin, Madison, WI.
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4. Relevant Information:
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The dataset contains cases from a study that was conducted between
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1958 and 1970 at the University of Chicago's Billings Hospital on
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the survival of patients who had undergone surgery for breast
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cancer.
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5. Number of Instances: 306
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6. Number of Attributes: 4 (including the class attribute)
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7. Attribute Information:
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1. Age of patient at time of operation (numerical)
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2. Patient's year of operation (year - 1900, numerical)
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3. Number of positive axillary nodes detected (numerical)
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4. Survival status (class attribute)
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1 = the patient survived 5 years or longer
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2 = the patient died within 5 year
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8. Missing Attribute Values: None
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