Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation

Kuldeep Kumar; Gulasekaran Rajaguru; Ping Zhang

doi:10.1109/BIBM52615.2021.9669635

Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation

Kuldeep Kumar, Gulasekaran Rajaguru, Ping Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Abstract

Cancer is the leading cause of death in Australia. It is estimated that more than 130,000 cases will be diagnosed with cancer in 2017 and further, that the estimated number of deaths will be around 50,000. If we look at the time series data of cancer incidence and cancer mortality it seems
there is a very high significant correlation between these variables. This may be spurious and misinterpreted which is quite often the case in epidemiological studies. In this paper we
have introduced the concept of co-integration and shown that although cancer incidences are increasing very fast, cancer mortality is not increasing that fast. This paper demonstrated
that there is no long term relationship or co-integration between these two variables. However, there exists a short-run causal relationship from cancer to mortality for the cases of lung and prostate cancers. The impulse response function reveals that the mortality peaks at second year and the effect gradually disappear after 8 years.

Original language	English
Title of host publication	Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021
Editors	Yufei Huang, Lukasz Kurgan, Feng Luo, Xiaohua Hu, Yidong Chen, Edward Dougherty, Andrzej Kloczkowski, Yaohang Li
Publisher	IEEE
Pages	3275-3279
Number of pages	5
ISBN (Electronic)	978-166540126-5
ISBN (Print)	978-1-6654-0126-5/21
DOIs	https://doi.org/10.1109/BIBM52615.2021.9669635
Publication status	Published - 2021

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10.1109/BIBM52615.2021.9669635

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Kumar, K., Rajaguru, G., & Zhang, P. (2021). Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation. In Y. Huang, L. Kurgan, F. Luo, X. Hu, Y. Chen, E. Dougherty, A. Kloczkowski, & Y. Li (Eds.), Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021 (pp. 3275-3279). IEEE. https://doi.org/10.1109/BIBM52615.2021.9669635

Kumar, Kuldeep ; Rajaguru, Gulasekaran ; Zhang, Ping. / Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation. Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021. editor / Yufei Huang ; Lukasz Kurgan ; Feng Luo ; Xiaohua Hu ; Yidong Chen ; Edward Dougherty ; Andrzej Kloczkowski ; Yaohang Li. IEEE, 2021. pp. 3275-3279

@inproceedings{14311d3c5ec743c3a65ec4be05169dc7,

title = "Cancer Incidence & Cancer Mortality vis-{\`a}-vis Correlation, Co-integration and Causation",

abstract = "Cancer is the leading cause of death in Australia. It is estimated that more than 130,000 cases will be diagnosed with cancer in 2017 and further, that the estimated number of deaths will be around 50,000. If we look at the time series data of cancer incidence and cancer mortality it seems there is a very high significant correlation between these variables. This may be spurious and misinterpreted which is quite often the case in epidemiological studies. In this paper we have introduced the concept of co-integration and shown that although cancer incidences are increasing very fast, cancer mortality is not increasing that fast. This paper demonstratedthat there is no long term relationship or co-integration between these two variables. However, there exists a short-run causal relationship from cancer to mortality for the cases of lung and prostate cancers. The impulse response function reveals that the mortality peaks at second year and the effect gradually disappear after 8 years.",

author = "Kuldeep Kumar and Gulasekaran Rajaguru and Ping Zhang",

year = "2021",

doi = "10.1109/BIBM52615.2021.9669635",

language = "English",

isbn = "978-1-6654-0126-5/21",

pages = "3275--3279",

editor = "Huang, {Yufei } and Lukasz Kurgan and Luo, {Feng } and Hu, {Xiaohua } and Chen, {Yidong } and Edward Dougherty and Kloczkowski, {Andrzej } and Yaohang Li",

booktitle = "Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021",

publisher = "IEEE",

}

Kumar, K , Rajaguru, G & Zhang, P 2021, Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation. in Y Huang, L Kurgan, F Luo, X Hu, Y Chen, E Dougherty, A Kloczkowski & Y Li (eds), Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021. IEEE, pp. 3275-3279. https://doi.org/10.1109/BIBM52615.2021.9669635

Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation. / Kumar, Kuldeep ; Rajaguru, Gulasekaran; Zhang, Ping.
Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021. ed. / Yufei Huang; Lukasz Kurgan; Feng Luo; Xiaohua Hu; Yidong Chen; Edward Dougherty; Andrzej Kloczkowski; Yaohang Li. IEEE, 2021. p. 3275-3279.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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T1 - Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation

AU - Kumar, Kuldeep

AU - Rajaguru, Gulasekaran

AU - Zhang, Ping

PY - 2021

Y1 - 2021

N2 - Cancer is the leading cause of death in Australia. It is estimated that more than 130,000 cases will be diagnosed with cancer in 2017 and further, that the estimated number of deaths will be around 50,000. If we look at the time series data of cancer incidence and cancer mortality it seems there is a very high significant correlation between these variables. This may be spurious and misinterpreted which is quite often the case in epidemiological studies. In this paper we have introduced the concept of co-integration and shown that although cancer incidences are increasing very fast, cancer mortality is not increasing that fast. This paper demonstratedthat there is no long term relationship or co-integration between these two variables. However, there exists a short-run causal relationship from cancer to mortality for the cases of lung and prostate cancers. The impulse response function reveals that the mortality peaks at second year and the effect gradually disappear after 8 years.

AB - Cancer is the leading cause of death in Australia. It is estimated that more than 130,000 cases will be diagnosed with cancer in 2017 and further, that the estimated number of deaths will be around 50,000. If we look at the time series data of cancer incidence and cancer mortality it seems there is a very high significant correlation between these variables. This may be spurious and misinterpreted which is quite often the case in epidemiological studies. In this paper we have introduced the concept of co-integration and shown that although cancer incidences are increasing very fast, cancer mortality is not increasing that fast. This paper demonstratedthat there is no long term relationship or co-integration between these two variables. However, there exists a short-run causal relationship from cancer to mortality for the cases of lung and prostate cancers. The impulse response function reveals that the mortality peaks at second year and the effect gradually disappear after 8 years.

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DO - 10.1109/BIBM52615.2021.9669635

M3 - Conference contribution

SN - 978-1-6654-0126-5/21

SP - 3275

EP - 3279

BT - Proceedings - 2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

A2 - Huang, Yufei

A2 - Kurgan, Lukasz

A2 - Luo, Feng

A2 - Hu, Xiaohua

A2 - Chen, Yidong

A2 - Dougherty, Edward

A2 - Kloczkowski, Andrzej

A2 - Li, Yaohang

PB - IEEE

ER -

Cancer Incidence & Cancer Mortality vis-à-vis Correlation, Co-integration and Causation

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