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Evaluation of Risk Factors for Parametrization of Cancer Models

Andreas Bauer, Günther Zauner, Christoph Urach
2015 SNE Simulation Notes Europe  
The goal of this paper is to analyze methods for evaluation of risk factors in order to parametrize a micro simulation model for cancer prevalence.  ...  Cancer is the second most cause of death in Austria and around 38000 people are diagnosed with cancer each year [1].  ...  Introduction 1 Data S N Conclusion and Outlook Figure 1 : 1 Comparison of Kaplan-Meier estimates for male and female individuals Figure 2 : 2 Cox regression coefficients over the norm of coefficients  ... 
doi:10.11128/sne.25.sn.10304 fatcat:gfmrsqdpnjbohi6mo5kxsmgz6y

Application of the Parametric Regression Model with the Four-Parameter Log-Logistic Distribution for Determining of the Effecting Factors on the Survival Rate of Colorectal Cancer Patients in the Presence of Competing Risks

Soraya Moamer, Ahmad Reza Baghestani, Mohamad Amin Pourhoseingholi, Ali Akbar Khadem Maboudi, Soodeh Shahsavari, Mohammad Reza Zali, Tahereh Mohammadi Majd
2017 Iranian Red Crescent Medical Journal  
Therefore, it is necessary to analyze the competing risk data. Objectives: The current study aimed at analyzing the colorectal cancer (CRC) risk factors based on competing risks model.  ...  The loglogistic model was also fitted with 2-parameter to evaluate the prognostic factors that affect the survival of patients with CRC, and comparisons were made to find the best model.  ...  Acknowledgments Data collection of the current research was supported by the Cancer registry database of the research center for  ... 
doi:10.5812/ircmj.55609 fatcat:474pdhxcnvgb3cbwp5qxiz2dsm

Family history of the cancer on the survival of the patients with gastrointestinal cancer in northern Iran, using frailty models

Mahmoodreza Ghadimi, Mahmood Mahmoodi, Kazem Mohammad, Hojjat Zeraati, Mahboobeh Rasouli, Mahmood Sheikhfathollahi
2011 BMC Gastroenterology  
In this paper our aim is to study the most common risk factors affecting the survival of the patients suffering from GI tract cancer using parametric models with frailty.  ...  We found that the family history of the cancer is a significant factor on the death risk under all statistical models in the study.  ...  Acknowledgements Authors thank the National Institute of Health Research (NIHR) and Tehran University of Medical Sciences for their support in data collection, financial support and collaboration in this  ... 
doi:10.1186/1471-230x-11-104 pmid:21961837 pmcid:PMC3217861 fatcat:idyoelyoybczvdb3bah5m6xrgm

Prognostic Factors for Survival in Patients with Colorectal Cancer in Iran between 2004-2015: Competing Risks Regression Analysis with Generalized Weibull Model

Soraya Moamer, Ahmad Reza Baghestani, Mohamad Amin Pourhoseingholi, Ali Akbar Khaden Maboudi, Seyed Hossein Seyed Agha, Mohammad Reza Zali
2017 Basic and Clinical Cancer Research  
This study aims to estimate the survival of colorectal cancer patients and its prognostic factors using parametric competing risks model.  ...  Conclusion: According to the findings of the generalized Weibull parametric competing risks model, only age at diagnosis and BMI were factors influencing the survival of colorectal cancer patients in this  ...  The authors gratefully acknowledge the Gastroenterology and Liver Diseases Research Center, Shahid Beheshti University of Medical Sciences for providing access to data of colorectal cancer patients.  ... 
doaj:e8dbfc96549e4ccfbc6eab10d369b734 fatcat:n2s532jypzad5oyd7jhvxfyefq

Evaluation of parametric models by the prediction error in colorectal cancer survival analysis

Ahmad Reza Baghestani, Mahmood Reza Gohari, Arezoo Orooji, Mohamad Amin Pourhoseingholi, Mohammad Reza Zali
2015 Gastroenterology and hepatology from bed to bench  
The aim of this study is to determine the factors influencing predicted survival time for patients with colorectal cancer (CRC) using parametric models and select the best model by predicting error's technique  ...  A total of 600 colorectal cancer patients who admitted to the Cancer Registry Center of Gastroenterology and Liver Disease Research Center, Taleghani Hospital, Tehran, were followed at least for 5 years  ...  Acknowledgment This paper is a result of Ms Thesis in Biostatistics, Shahid Beheshti University of Medical Sciences.  ... 
pmid:26328040 pmcid:PMC4553158 fatcat:eknmsgppebe7rlv23f5nohcgfi

Detecting a Cohort Effect for Cancer Mortality Data using Varying Coefficient Model

T. Tonda, K. Satoh, K. I. Kamo
2015 International Journal of Epidemiology  
RESULTS: We visualized the age-period trend for data of liver cancer mortality in Japan by non-parametric and parametric model.  ...  For data of liver cancer mortality in Japan, the parametric model was well fitted and detected the significant cohort effect.  ...  METHODS: A systematic review of meta-analyses of prospective studies of T2D identified the strength of association (including doseresponse relationships) and usual practices for modeling risk factors in  ... 
doi:10.1093/ije/dyv097.243 fatcat:jbkevgvxdffavlcnno6e3fp5zy

Evaluation of risk factors in patients with breast cancer in stages III and IV: comparison of Cox and Fine-Grey competing risk regression models

Monireh Dehghani Arani, Alireza Abadi, Aarvin Yavari, Yousef Bashiri, Liley Mahmudi, Chris Bajdik
2018 Biomedical Research and Therapy  
They were divided into four groups according to patients' stage of disease then for patients with stage III and IV breast cancer was fitted Cox's model and Fine-Grey competing risk flexible models to each  ...  Then we fit Fine-Grey competing risk models. the variable of chemotherapy is significant in both parametric and semi-parametric competing risk models, and its hazard ratio is HR=1.15 and HR=1.14 in the  ...  Acknowledgements We thank the BC Cancer Registry for providing data for our study, and the Breast Cancer Outcomes Unit (BCOU) at the BC Cancer Agency for informing our Evaluation of Risk Factors and Comparison  ... 
doi:10.15419/bmrat.v5i02.417 fatcat:dqs5qmeffvb5fesxo5ag62xq6e

RISK FACTOR ANALYSIS OF BREAST CANCER PATIENTS IN A NIGERIAN TERTIARY HOSPITAL

O. L. Aako, J. A. Adewara, S. O. Are
2022 FUDMA Journal of Sciences  
This research attempts to determine the survival rate and identify the risk factors affecting the survival of breast cancer patients.  ...  The result of Cox proportional model shows that the prognostic factors affecting the risk of dying from breast cancer are Histology (MC), Tumor stage II, Surgical type (MRM) and Surgical type (SM).  ...  Nikpour et al. (2016) used parametric models to evaluate factors influencing the survival of gastric cancer patients using cox, Weibull, Exponential, Log-normal, Logistics and gamma models.  ... 
doi:10.33003/fjs-2022-0603-975 fatcat:fojb3kwa35et3mpgn223sgir5y

A Comparative Study of Cox Regression vs. Log-Logistic Regression (with and without its frailty) in Estimating Survival Time of Patients with Colorectal Cancer

A.H. Hashemian, M. Garshasbi, M.A. Pourhoseingholi, S. Eskandari
2017 Journal of Medical and Biomedical Sciences  
In the present study, using non-parametric Cox model and parametric Log-logistic model, factors influencing survival of patients with colorectal cancer were evaluated and the models efficiency were compared  ...  According to non-parametric Kaplan-Meier method, chances of surviving for 1, 3, 5 and 7 years were 91.16, 73.20, 61.00, and 54.94, respectively.  ...  for evaluating fitted models.  ... 
doi:10.4314/jmbs.v6i1.5 fatcat:kpiquwl7afbjhn2tcr6yv3qwbm

Evaluating Long-term survival of patients with esophageal cancer using parametric non-mixture cure rate models

Elahe Zaeran * , Mehdi Azizmohammad Looha , Payam Amini Dr , Tara Azimi Dr , Mahmoud Mahmoudi
2019 Zenodo  
In our study, parametric non-mixture cure rate model was applied to evaluate the effects of risk factors on the long-term survival of patients with EC in East Azarbaijan, Northeastern Iran.  ...  The best parametric cure rate model was identified and the risk factors of survival in patients with EC were measured by Akaike Information Criteria and parametric non-mixture cure rate model, respectively  ...  Acknowledgements The authors thank the Iran National Cancer Registry Office and Tehran University of Medical Sciences, Tehran, Iran for assistance with data gathering and collaboration.  ... 
doi:10.5281/zenodo.3510523 fatcat:pksk4dmb6ngkvo3wtlrmuqvuhi

Evaluation of prognostic factors effect on survival time in patients with colorectal cancer, based on Weibull Competing-Risks Model

Soraya Moamer, Ahmadreza Baghestani, Mohamad Amin Pourhoseingholi, Nastaran Hajizadeh, Farzaneh Ahmadi, Mohsen Norouzinia
2017 Gastroenterology and hepatology from bed to bench  
The aim of this study was to assess the association between survival of patients with colorectal cancer and prognostic factors in a competing risk parametric model using Weibull distribution.  ...  Analysis was performed using competing risks model and Weibull distribution. Software used for data analysis was R, and significance level was regarded as 0.05.  ...  Acknowledgements Data collection for this research was supported by the Cancer Registry Database of the Research Center for Gastroenterology and Liver Diseases affiliated to Shahid Beheshti University  ... 
pmid:28331565 pmcid:PMC5346825 fatcat:qovhaqxj45cddbybxyvkt2vz5q

Parametric Model Evaluation in Examining the Survival of Gastric Cancer Patients Andits Influencing Factors

Abolfazl Nikpour, Jamshid Yazdani Charati, Iraj Maleki, Hosien Ranjbaran, Alireza Khalilian
2016 Global Journal of Health Science  
In this study we use cox regression and alternative parametric models such as Weibull, exponential, log-normal, logistics and gamma model to evaluate factors affecting survival of patients with gastric  ...  Akaike Information model was used for comparison between models.</p><p><strong>RESULT:</strong> Of a total of 569 patients, 329 (57.8%) died during the period.  ...  Abolfazl Nickpour in the field of biostatistics entitled "comparison the mixture of healed survival models of Weibull, gamma, log normal and log logistic in the estimation of patients survival with gastric  ... 
doi:10.5539/gjhs.v9n3p260 fatcat:plq3377turgsxf22enwvc6ytt4

Evaluating Long-term survival of patients with esophageal cancer using parametric non-mixture cure rate models

Elahe Zaeran, Mehdi Azizmohammad Looha, Payam Amini, Tara Azimi, Mahmoud Mahmoudi, Modeling in Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran, Dept. of Biostatistics, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Science, Tehran, Iran., Reproductive Epidemiology Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran, Faculty of Public Health, University of Alberta, Edmonton, Alberta, Canada, Dept. of Epidemiology and Biostatistics, Faculty of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
2019 Journal of Advances in Medical and Biomedical Research  
In our study, parametric non-mixture cure rate model was applied to evaluate the effects of risk factors on the long-term survival of patients with EC in East Azerbaijan, Northeastern Iran.  ...  The best parametric cure rate model was identified and the risk factors of survival in patients with EC were measured by Akaike Information Criteria and parametric non-mixture cure rate model, respectively  ...  Acknowledgements The authors thank the Iran National Cancer Registry Office and Tehran University of Medical Sciences, Tehran, Iran for assistance with data gathering and collaboration.  ... 
doi:10.30699/jambs.27.120.43 fatcat:7hgj2sdjhfanxk3uq2vquemt2q

Determination of affected risk factors on time to recurrence and death in patients with postoperative gastric cancer using copula function

Ghodratollah Roshanaei, Anoshirvan Kazemnejad, Sanambar Sadighi
2014 Journal of research in health sciences  
Akaike Information Criterion (AIC) was used to determine of suitable parametric models.  ...  Applying copula function for determining specific risk factors of the semi-competing events produces suitable results opposite the common methods which are based on independent assumption of the events  ...  Acknowledgments The authors thank Cancer Research Centre (CRC) of Cancer Institute of Imam Khomeini Hospital Complex and Research Department of Tehran University of Medical Sciences for data gathering.  ... 
pmid:24402851 fatcat:oykdat6lhzbvjkwgrj5xydr7du

Determining the Effective Factors on Gastric Cancer Using Frailty Model in South-East and North of Iran

Roja Nikaeen, Alireza Khalilian, Abbas Bahrampour
2017 Iranian Journal Of Health Sciences  
The aim of the present study was to assess survival and it's affecting factors in gastric cancer patients through using Cox and parametric models along with frailty.  ...  The survival of patients was assessed by using Cox proportional hazard, log-normal and log-logistic models under gamma and inverse-Gaussian distributions, as two special models for frailty.  ...  This project (92/281) is part of Roja Nikaeen thesis for master in biostatistics.  ... 
doi:10.29252/jhs.5.3.35 fatcat:ikeillpugzcbjpyng7xbf4r6cy
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