Factors affecting stage of cancer with accommodate indirect effect of confounding variable

Jerry Dwi Trijoyo Purnomo

doi:10.1063/5.0052563

Factors affecting stage of cancer with accommodate indirect effect of confounding variable

Jerry Dwi Trijoyo Purnomo^*

^*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Deaths caused by cervical cancer in the world continue to increase. The International Agency for Research on Cancer (IARC) released data on deaths from cervical cancer in 2008 as many as 275,000 and increased in 2018 to reach 311,365 people. There are four classifications of cervical cancer types based on the level of the stage, ranging from stage I to stage IV. The death rate for cervical cancer sufferers is likely to be influenced by the high or low stages of cancer. This paper aimed to assess factors that probably affect this stage while accommodating the indirect effects through confounding variables that could appear as well. The cervical cancer data from Dr. Soetomo Hospital are used as the application. Two primary results are revealed in this paper. First, age and duration of stay in the hospital are the significant covariates that affect the stage of cancer. Second, there is no prospective confounding variable involved in this data.

Original language	English
Title of host publication	International Conference on Life Sciences and Technology, ICoLiST 2020
Editors	Ahmad Taufiq, Hendra Susanto, Hadi Nur, Muhammad Aziz, Acharee Suksuwan, Chen Siang Ng, Khairunadwa Binti Jemon, Mohamad Amin, Markus Diantoro, Nandang Mufti, Nik Ahmad Nizam Nik Malek, I. Ching Wang, Sunaryono, Siti Zubaidah, Aulanni'am, Indra Wibowo, Adeodatus Yuda Handaya
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735440968
DOIs	https://doi.org/10.1063/5.0052563
Publication status	Published - 25 May 2021
Event	3rd International Conference on Life Sciences and Technology, ICoLiST 2020 - Malang, Indonesia Duration: 29 Sept 2020 → …

Publication series

Name	AIP Conference Proceedings
Volume	2353
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	3rd International Conference on Life Sciences and Technology, ICoLiST 2020
Country/Territory	Indonesia
City	Malang
Period	29/09/20 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1063/5.0052563

Cite this

Purnomo, J. D. T. (2021). Factors affecting stage of cancer with accommodate indirect effect of confounding variable. In A. Taufiq, H. Susanto, H. Nur, M. Aziz, A. Suksuwan, C. S. Ng, K. B. Jemon, M. Amin, M. Diantoro, N. Mufti, N. A. N. N. Malek, I. C. Wang, Sunaryono, S. Zubaidah, Aulanni'am, I. Wibowo, & A. Y. Handaya (Eds.), International Conference on Life Sciences and Technology, ICoLiST 2020 Article 030010 (AIP Conference Proceedings; Vol. 2353). American Institute of Physics Inc.. https://doi.org/10.1063/5.0052563

Purnomo, Jerry Dwi Trijoyo. / Factors affecting stage of cancer with accommodate indirect effect of confounding variable. International Conference on Life Sciences and Technology, ICoLiST 2020. editor / Ahmad Taufiq ; Hendra Susanto ; Hadi Nur ; Muhammad Aziz ; Acharee Suksuwan ; Chen Siang Ng ; Khairunadwa Binti Jemon ; Mohamad Amin ; Markus Diantoro ; Nandang Mufti ; Nik Ahmad Nizam Nik Malek ; I. Ching Wang ; Sunaryono ; Siti Zubaidah ; Aulanni'am ; Indra Wibowo ; Adeodatus Yuda Handaya. American Institute of Physics Inc., 2021. (AIP Conference Proceedings).

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title = "Factors affecting stage of cancer with accommodate indirect effect of confounding variable",

abstract = "Deaths caused by cervical cancer in the world continue to increase. The International Agency for Research on Cancer (IARC) released data on deaths from cervical cancer in 2008 as many as 275,000 and increased in 2018 to reach 311,365 people. There are four classifications of cervical cancer types based on the level of the stage, ranging from stage I to stage IV. The death rate for cervical cancer sufferers is likely to be influenced by the high or low stages of cancer. This paper aimed to assess factors that probably affect this stage while accommodating the indirect effects through confounding variables that could appear as well. The cervical cancer data from Dr. Soetomo Hospital are used as the application. Two primary results are revealed in this paper. First, age and duration of stay in the hospital are the significant covariates that affect the stage of cancer. Second, there is no prospective confounding variable involved in this data.",

author = "Purnomo, \{Jerry Dwi Trijoyo\}",

note = "Publisher Copyright: {\textcopyright} 2021 Author(s).; 3rd International Conference on Life Sciences and Technology, ICoLiST 2020 ; Conference date: 29-09-2020",

year = "2021",

month = may,

day = "25",

doi = "10.1063/5.0052563",

language = "English",

series = "AIP Conference Proceedings",

publisher = "American Institute of Physics Inc.",

editor = "Ahmad Taufiq and Hendra Susanto and Hadi Nur and Muhammad Aziz and Acharee Suksuwan and Ng, \{Chen Siang\} and Jemon, \{Khairunadwa Binti\} and Mohamad Amin and Markus Diantoro and Nandang Mufti and Malek, \{Nik Ahmad Nizam Nik\} and Wang, \{I. Ching\} and Sunaryono and Siti Zubaidah and Aulanni'am and Indra Wibowo and Handaya, \{Adeodatus Yuda\}",

booktitle = "International Conference on Life Sciences and Technology, ICoLiST 2020",

}

Purnomo, JDT 2021, Factors affecting stage of cancer with accommodate indirect effect of confounding variable. in A Taufiq, H Susanto, H Nur, M Aziz, A Suksuwan, CS Ng, KB Jemon, M Amin, M Diantoro, N Mufti, NANN Malek, IC Wang, Sunaryono, S Zubaidah, Aulanni'am, I Wibowo & AY Handaya (eds), International Conference on Life Sciences and Technology, ICoLiST 2020., 030010, AIP Conference Proceedings, vol. 2353, American Institute of Physics Inc., 3rd International Conference on Life Sciences and Technology, ICoLiST 2020, Malang, Indonesia, 29/09/20. https://doi.org/10.1063/5.0052563

Factors affecting stage of cancer with accommodate indirect effect of confounding variable. / Purnomo, Jerry Dwi Trijoyo.
International Conference on Life Sciences and Technology, ICoLiST 2020. ed. / Ahmad Taufiq; Hendra Susanto; Hadi Nur; Muhammad Aziz; Acharee Suksuwan; Chen Siang Ng; Khairunadwa Binti Jemon; Mohamad Amin; Markus Diantoro; Nandang Mufti; Nik Ahmad Nizam Nik Malek; I. Ching Wang; Sunaryono; Siti Zubaidah; Aulanni'am; Indra Wibowo; Adeodatus Yuda Handaya. American Institute of Physics Inc., 2021. 030010 (AIP Conference Proceedings; Vol. 2353).

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

TY - GEN

T1 - Factors affecting stage of cancer with accommodate indirect effect of confounding variable

AU - Purnomo, Jerry Dwi Trijoyo

PY - 2021/5/25

Y1 - 2021/5/25

N2 - Deaths caused by cervical cancer in the world continue to increase. The International Agency for Research on Cancer (IARC) released data on deaths from cervical cancer in 2008 as many as 275,000 and increased in 2018 to reach 311,365 people. There are four classifications of cervical cancer types based on the level of the stage, ranging from stage I to stage IV. The death rate for cervical cancer sufferers is likely to be influenced by the high or low stages of cancer. This paper aimed to assess factors that probably affect this stage while accommodating the indirect effects through confounding variables that could appear as well. The cervical cancer data from Dr. Soetomo Hospital are used as the application. Two primary results are revealed in this paper. First, age and duration of stay in the hospital are the significant covariates that affect the stage of cancer. Second, there is no prospective confounding variable involved in this data.

AB - Deaths caused by cervical cancer in the world continue to increase. The International Agency for Research on Cancer (IARC) released data on deaths from cervical cancer in 2008 as many as 275,000 and increased in 2018 to reach 311,365 people. There are four classifications of cervical cancer types based on the level of the stage, ranging from stage I to stage IV. The death rate for cervical cancer sufferers is likely to be influenced by the high or low stages of cancer. This paper aimed to assess factors that probably affect this stage while accommodating the indirect effects through confounding variables that could appear as well. The cervical cancer data from Dr. Soetomo Hospital are used as the application. Two primary results are revealed in this paper. First, age and duration of stay in the hospital are the significant covariates that affect the stage of cancer. Second, there is no prospective confounding variable involved in this data.

UR - https://www.scopus.com/pages/publications/85107303570

U2 - 10.1063/5.0052563

DO - 10.1063/5.0052563

M3 - Conference contribution

AN - SCOPUS:85107303570

T3 - AIP Conference Proceedings

BT - International Conference on Life Sciences and Technology, ICoLiST 2020

A2 - Taufiq, Ahmad

A2 - Susanto, Hendra

A2 - Nur, Hadi

A2 - Aziz, Muhammad

A2 - Suksuwan, Acharee

A2 - Ng, Chen Siang

A2 - Jemon, Khairunadwa Binti

A2 - Amin, Mohamad

A2 - Diantoro, Markus

A2 - Mufti, Nandang

A2 - Malek, Nik Ahmad Nizam Nik

A2 - Wang, I. Ching

A2 - Sunaryono, null

A2 - Zubaidah, Siti

A2 - Aulanni'am, null

A2 - Wibowo, Indra

A2 - Handaya, Adeodatus Yuda

PB - American Institute of Physics Inc.

T2 - 3rd International Conference on Life Sciences and Technology, ICoLiST 2020

Y2 - 29 September 2020

ER -

Purnomo JDT. Factors affecting stage of cancer with accommodate indirect effect of confounding variable. In Taufiq A, Susanto H, Nur H, Aziz M, Suksuwan A, Ng CS, Jemon KB, Amin M, Diantoro M, Mufti N, Malek NANN, Wang IC, Sunaryono, Zubaidah S, Aulanni'am, Wibowo I, Handaya AY, editors, International Conference on Life Sciences and Technology, ICoLiST 2020. American Institute of Physics Inc. 2021. 030010. (AIP Conference Proceedings). doi: 10.1063/5.0052563

Factors affecting stage of cancer with accommodate indirect effect of confounding variable

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