Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Table S2. Multiple regression for transformed and original variables. (XLSX 11 kb

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

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

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

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

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 2: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Van Schaik, Paul
Peng, Yonghong
Ojelabi, Adedokun
Ling, Jonathan
Yonghong, Peng
Teesside University
SSSHL Psychology
University of Sunderland

January 2019

Assessing bias. Figure S1. Plot of standardised predicted values against standardised residuals. Fig...

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Abstract

Extracted data

Additional file 3: of Explainable statistical learning in public health for policy development: the case of real-world suicide data

Abstract

Extracted data

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