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Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study
Supplement article - Supplement | Volume 33 (1): 15. 16 May 2019 | 10.11604/pamj.supp.2019.33.1.18687

Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study

Yousef Khader

Corresponding author: Yousef Khader, Department of Public Health, Jordan University of Science and Technology, The Eastern Mediterranean Public Health Network (EMPHNET), Jordan

Received: 16 Mar 2019 - Accepted: 08 May 2019 - Published: 16 May 2019

Domain: Biostatistics

Keywords: Survival analysis, Kaplan-Meier product limit technique, Cox-regression analysis, colorectal cancer

This articles is published as part of the supplement Case Studies for Public Health in the Eastern Mediterranean Region - 2019, commissioned by Yousef S Khader (yskhader@just.edu.jo).

©Yousef Khader et al. Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article: Yousef Khader et al. Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study. Pan African Medical Journal. 2019;33(1):15. [doi: 10.11604/pamj.supp.2019.33.1.18687]

Available online at: https://www.panafrican-med-journal.com/content/series/33/1/15/full

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Supplement

Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study

Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study

Yousef Khader1,&

 

1Department of Public Health, Jordan University of Science and Technology, The Eastern Mediterranean Public Health Network (EMPHNET), Jordan

 

 

&Corresponding author
Yousef Khader, Department of Public Health, Jordan University of Science and Technology, The Eastern Mediterranean Public Health Network (EMPHNET), Jordan

 

 

Abstract

In Jordan, the age standardized rate (ASR) of colorectal cancer (CRC) has increased from 12.6 per 100,000 in 2005 to 17.2 per 100,000 in 2010. According to the latest comprehensive cancer incidence report in 2012, CRC accounted for 11.3% of all newly diagnosed cases among Jordanians, and ranked the second among all cancers in both genders. The overall crude incidence rate was 8.9/100,000 population (8.6 and 9.2/100,000 males and females, respectively). The overall ASR was 16.3/100,000 (15.9 and 16.6/100,000 males and females, respectively). According to Jordan mortality registry in 2013, neoplasms were the second leading cause of death (16.4% of total deaths), and cancer of small intestine, colon, rectum and anus accounted for 2% of total deaths. This case study demonstrates the practical application of basic and advanced statistical techniques to conduct survival analysis. This case study is designed for the training of basic level field epidemiology trainees or any other health care workers working in public health-related fields. It can be administered in 5-7 hours in class or as a take-home exercise.

 

 

How to use this case study    Down

General instructions: this case study should be used as adjunct training material for novice epidemiology trainees to reinforce the concepts taught in prior lectures. The case study is ideally taught by a facilitator in groups of about 20 participants. It can be administered as a take-home assignment or part of an examination assignment. This assignment require analysis and writing from the student.

 

Audience: this case study was developed for novice field epidemiology students. These participants are commonly health care workers working in the county departments of health whose background may be as medical doctors, nurses who work in public health-related fields. Most have a health science or medical statistics background is preferred.

 

Prerequisites: before using this case study, participants should have received lectures on survival analysis.

 

Materials needed: flash drive, flip charts, markers, computers, SPSS software

 

Time required: 5-7 hours

 

Language: English

 

 

Case study material Up    Down

  • Download the case study student guide
  • Request the case study facilitator guide

 

 

Competing interest Up    Down

The authors declare no competing interests.

 

 

Acknowledgement Up    Down

Authors would like to acknowledge The Eastern Mediterranean Public Health Network (EMPHNET) for their technical support.

 

 

Annexe Up    Down

Annex 1: SPSS file survival analysis

 

 

References Up    Down

  1. GLOBOCAN. Estimation of cancer incidence, prevalence and mortality worldwide in 2012, The international Agency for Research on Cancer, World. Accessed on 16 March 2019.

  2. the American Cancer Society, Atlanta, Georgia. Colorectal Cancer Facts & Figures 2014-2016. Accessed on 16 March 2019.

  3. Jordan cancer registry reports (2006-2010). Accessed on 16 March 2019.

  4. JCR, MOH. Annual Incidence of Cancer 2012. Accessed on 16 March 2019.

  5. Ministry of health, Jordan. Annual Mortality Report in 2013, Ministry of health, Jordan. Accessed on 16 March 2019.

  6. Karimi Z, Saadat A, Jalalian H, Esmaeili M. Epidemiology and Survival Analysis of Colorectal Cancer, and its Related Factors. Kowsar Medical Journal. 2011;15 (4):239-243. Google Scholar

  7. Yuan Y, Li MD, Hu HG, Dong CX, Chen JQ, Li XF, Li JJ, Shen H. Prognostic and survival analysis of 837 Chinese colorectal cancer patients. World J Gastroenterol. 2013 May 7;19(17):2650-9. PubMed | Google Scholar

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Supplement

Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study

Supplement

Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study

Supplement

Kaplan-Meier product limit technique and Cox-regression analysis to analyze the predictors of survival among patients with colorectal cancer in Jordan: a teaching case-study

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