Data for: Conditional probability estimation based classification with class label missing at random

Published: 30 Nov 2019 | Version 1 | DOI: 10.17632/xbjccc3jc3.1
Contributor(s):

Description of this data

he breast cancer dataset studied by \citet{Cummings1986Tamoxifen}, which is conducted to evaluate tamoxifen as a treatment for stage \uppercase\expandafter{\romannumeral2} breast cancer among elder women. In this dataset, 78 patients died during the clinical trial. Specifically, 43 of them died from breast cancer, 17 of them died from other known reasons and the remaining 18 patients died from unknown reasons. Therefore, we have two types of cause of death: breast cancer (class 1) and other known reasons (class 0). Moreover, 43 samples come from class 1, 17 samples come from class 0 and class labels of 18 samples are missing. According to \citet{chen2018reweighted}, we choose the observed survival time of a patient as the predictor and assume that the class label is missing at random (MAR).

Experiment data files

This data is associated with the following publication:

Conditional probability estimation based classification with class label missing at random

Published in: Journal of Multivariate Analysis

Latest version

  • Version 1

    2019-11-30

    Published: 2019-11-30

    DOI: 10.17632/xbjccc3jc3.1

    Cite this dataset

    Wang, Qihua; sheng, ying (2019), “Data for: Conditional probability estimation based classification with class label missing at random”, Mendeley Data, v1 http://dx.doi.org/10.17632/xbjccc3jc3.1

Statistics

Views: 39
Downloads: 3

Categories

Medical Care

Licence

CC BY NC 3.0 Learn more

The files associated with this dataset are licensed under a Attribution-NonCommercial 3.0 Unported licence.

What does this mean?
You are free to adapt, copy or redistribute the material, providing you attribute appropriately and do not use the material for commercial purposes.

Report