THE TRAGEDY OF TITANIC: A LOGISTIC REGRESSION ANALYSIS.
- Lecturer at University of Medical Sciences & Technology, Faculty of Business Administration, Khartoum, Sudan, DBA Candidate.
- Pharmacist at Samasu Medical & Educational Services, Khartoum Sudan, and currently is a DBA Candidate.
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The sinking of Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1,502 of the 2,228 passengers and crew. This sensational tragedy shocked the international community and motivated the adoption of better maritime safety regulations. However there are many reasons that the shipwreck led to such loss of life and there was some elements of luck involved in surviving the sinking as some groups of people were more likely to survive than others. The main aim of this research is to identify the Impact of gender, passenger class, Accompany, age on a person?s likelihood of surviving the shipwreck. Secondary data was used as the main data collection tool and it was analyzed by fitting a logistic regression model using a statistical package, SPSS. Findings of this study showed that some passenger groups were more likely to survive than others, with respect to certain demographic characteristic and whether the passenger was traveling in the first, second or third class.
- Austin, J. T., Yaffee, R. A., & Hinkle, D. E. (1992). Logistic regression for research in higher education. Higher Education: Handbook of Theory and Research, 8, 379?410.
- Bagley, S. C., White, H., & Golomb, B. A. (2001). Logistic regression in the medical literature: Standards for use and reporting, with particular attention to one medical domain. Journal of Clinical Epidemiology, 54(10), 979-985
- Beavis, Debbie, 2002. Who? on Titanic? The Definitive Passenger Lists. Ian Allen.
- Beesley, Lawrence, 1912. The Loss of the SS Titanic. In Jack Winocour, ed., The Story of the Titanic as Told by Its Survivors, (1960) Dover.
- Bewick, V., Cheek, L., & Ball, J. (2004). Statistics review 13: Receiver operating characteristic curves. Critical Care (London, England), 8(6), 508512. http://doi.org/10.1186/cc3000
- Bewick, V., Cheek, L., & Ball, J. (2005). Statistics review 14: Logistic regression. Critical Care (London, England), 9(1), 112-118. http://dx.doi.org/ 10.1186/cc3045
- Eberhardt, L. L., & Breiwick, J. M. (2012). Models for population growth curves. ISRN Ecology, 2012, 1-7. http://dx.doi.org/doi:10.5402/2012/ 815016
- Garson, G. D. (2009). ?Logistic Regression? from Statnotes: Topics in Multivariate Analysis. Retrieved 6/5/2009 from ttp://faculty.chass.ncsu.edu/garson/pa765/statnote.htm.
- George, D., & Mallery, P. (2006). SPSS for windows step by step: A simple guide and reference (6th ed.). Boston: Allyn and Bacon.
- Giancristofaro, R. A., & Salmaso, L. (2003). Model performance analysis and model validation in logistic regression. Statistica, 63(2), 375-396.
- Gleicher D, Stevans LK (2004) Who survived Titanic? A logistic regression analysis. International Journal of Maritime History 16:61?94.
- Hall W (1986) Social class and survival on the S.S. Titanic. Soc Sci Med 22:687?690.
- Harrell, F, E., LEE, K. L., & MARK, D. B. (1996). Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors, Statistics in Medicine, 15, 361-387.
- George, D., & Mallery, P. (2006). SPSS for windows step by step: A simple guide and reference (6th ed.). Boston: Allyn and Bacon.
- Patetta, M. (2002) Categorical Data Analysis Using Logistic Regression Course Notes, Copyright ? 2002 by SAS Institute Inc., Cary, NC 27513, USA.
[Dina Ahmed Mohamed Ghandour and May Alawi Mohamed Abdalla. (2017); THE TRAGEDY OF TITANIC: A LOGISTIC REGRESSION ANALYSIS. Int. J. of Adv. Res. 5 (Jun). 1454-1465] (ISSN 2320-5407). www.journalijar.com
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