Additional file 1: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Paul Van Schaik (Contributor)
Yonghong Peng (Contributor)
Adedokun Ojelabi (Contributor)
Jonathan Ling (Creator)

Dataset

Description

Transforming the data. Table S1. Skewness and kurtosis of suicide profile variables. (ZIP 21 kb)

Date made available	2019
Publisher	figshare

DOI
10.6084/m9.figshare.8948027

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Creative Commons Attribution 4.0 International

1 Article

Explainable statistical learning in public health for policy development: the case of real-world suicide data
Van Schaik, P., Peng, Y., Ojelabi, A. & Ling, J., 17 Jul 2019, In: BMC Medical Research Methodology. 19, 1, 152.
Research output: Contribution to journal › Article › peer-review

Open Access
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