TY - GEN
T1 - Factors affecting stage of cancer with accommodate indirect effect of confounding variable
AU - Purnomo, Jerry Dwi Trijoyo
N1 - Publisher Copyright:
© 2021 Author(s).
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 - http://www.scopus.com/inward/record.url?scp=85107303570&partnerID=8YFLogxK
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 -
