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Non-parametric Estimation of Survival Function from Grouped Observations Under Random Censorship
Issue:
Volume 1, Issue 1, December 2016
Pages:
1-12
Received:
8 October 2016
Accepted:
5 November 2016
Published:
5 December 2016
DOI:
10.11648/j.bsi.20160101.11
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Abstract: Censoring is inevitable in survival analysis. The motivating factor for this article concerns the way censored subjects are incorporated in estimation of survival function for grouped data. In practice, the Actuarial estimator of a survival function may be biased due to unevenly distribution of censored subjects within intervals. This article presents a nonparametric estimation of a survival function using the adjusted Product Limit estimator based on grouped observations that are under random censorship. Simulation studies are carried out to assess the performance of the adjusted Product Limit estimator in comparison to the performance of Actuarial (life table) estimator to ascertain the one that is better and real data is used to show applicability of the method in real life. The results strongly indicate that adjusted Product Limit estimator of the survival function outperforms the Actuarial estimator.
Abstract: Censoring is inevitable in survival analysis. The motivating factor for this article concerns the way censored subjects are incorporated in estimation of survival function for grouped data. In practice, the Actuarial estimator of a survival function may be biased due to unevenly distribution of censored subjects within intervals. This article prese...
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A Model Selection on Economic Variable in Nigeria
Muritala Abdulkabir,
Omuku Ikechukwu Joshua,
Raji Surajudeen Tunde
Issue:
Volume 1, Issue 1, December 2016
Pages:
13-18
Received:
11 September 2016
Accepted:
21 October 2016
Published:
12 December 2016
DOI:
10.11648/j.bsi.20160101.12
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Abstract: This study is on model selection on economic variable on gross domestic product in Nigeria, the data used for this study were extracted from National Bureau of Statistics (NBS), the statistical tool is multiple regression model and model selection to select the best model and in the variable and to evaluate and test GDP as a determinant which will capture the effect on economic variables. At the end of the analysis and findings it were concluded that Import value import value from the export, production, petroleum and consumption plays the most significant role in the company’s market. It can be used as a tool to estimate the company’s future market price.
Abstract: This study is on model selection on economic variable on gross domestic product in Nigeria, the data used for this study were extracted from National Bureau of Statistics (NBS), the statistical tool is multiple regression model and model selection to select the best model and in the variable and to evaluate and test GDP as a determinant which will ...
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An Empirical Investigation on the Efficiency of Healthcare Companies with Data Envelopment Analysis Model
Lam Weng Siew,
Liew Kah Fai,
Lam Weng Hoe
Issue:
Volume 1, Issue 1, December 2016
Pages:
19-23
Received:
24 October 2016
Accepted:
2 December 2016
Published:
7 January 2017
DOI:
10.11648/j.bsi.20160101.13
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Abstract: Healthcare service quality plays an important role in today’s competitive environment. The people are very concern on their health status nowadays and willing to seek an affordable treatment from the healthcare companies. Besides affordable treatment, the people are also particular on the healthcare efficiency as the quality of the services and companies performance aresignificantly determined by the company’s efficiency. Data Envelopment Analysis (DEA) is a mathematical linear programming model which is utilized for measuring the efficiency of the companies as the ratio of the sum-weighted outputs to sum-weighted inputs. The objective of this study is to evaluate and compare the efficiency of the healthcare companies in Malaysia withDEA model. In this study, the data consists of 12healthcare companies that are listed in Malaysia stock market. The period of study is from year 2011 until 2015. The results of this study show thatAHEALTH, HAIO, IHH, PHARMA and YSPSAH are ranked as efficient healthcare companies. This study is significant because the DEA model helps to identify the efficient healthcare companies based on multiple inputs and outputs.
Abstract: Healthcare service quality plays an important role in today’s competitive environment. The people are very concern on their health status nowadays and willing to seek an affordable treatment from the healthcare companies. Besides affordable treatment, the people are also particular on the healthcare efficiency as the quality of the services and com...
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Statistical Aspects of the Interrelation Between the Biological Activity of Chemical Compounds and Their Molecular Structure
Issue:
Volume 1, Issue 1, December 2016
Pages:
24-34
Received:
7 December 2016
Accepted:
27 December 2016
Published:
20 January 2017
DOI:
10.11648/j.bsi.20160101.14
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Abstract: An attempt was made to construct an adequate model of interrelation of radioprotective properties of biologically active chemical compounds with their electronic and information factors. Biological activity (radiation protective effects) of chemical compounds has been analyzed in relation to their electronic sign and the information function. Statistical comparison of qualitative indices has revealed that electronic and information signs the most informative characteristics of the molecules responsible for radiation protective action. Correlation equations are given for electronic and information dependent change in the antiradiation properties of the molecule. Quantitative estimates were made associating the protective efficiency of the chemical compounds under study with variations in the electronic parameters and dose of chemicals.
Abstract: An attempt was made to construct an adequate model of interrelation of radioprotective properties of biologically active chemical compounds with their electronic and information factors. Biological activity (radiation protective effects) of chemical compounds has been analyzed in relation to their electronic sign and the information function. Stati...
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Retrospective Analysis of Measles Surveillance Data - Amhara Region, North-Western Ethiopia, 2008-2010
Amelework Getinet Alene,
Getinet Mitike Kassie,
Amare Mengistu Mersha
Issue:
Volume 1, Issue 1, December 2016
Pages:
35-39
Received:
4 July 2014
Accepted:
29 July 2014
Published:
21 January 2017
DOI:
10.11648/j.bsi.20160101.15
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Abstract: Introduction: Despite the availability of a safe and cost effective vaccine, measles remain one of the leading causes of death among young children. The majority (more than 95%) of measles deaths occur in low income countries like Ethiopia. Measles outbreaks are consistently reported from Amhara region of Ethiopia. Therefore analysis of surveillance data was performed to describe measles epidemiology within the region, to characterize the population affected and develop guidance to improve measles control activities. Methods: Measles surveillance data reported from Woreda to Amhara regional health bureau from 2008-2010 were obtained, reviewed and analyzed using Microsoft excel. The World Health Organization(WHO) clinical case definition for suspected measles case is a person with fever, and maculopapular rash (i.e. non vesicular) and cough, coryza or conjunctivitis. Result: A total of 2520 suspected cases of measles were reported to Amhara regional Public Health Emergency Management (PHEM). Out of this 353 (18%) were positive for IgM antibodies to measles , 1037 were epidemiologically linked and clinical cases. The median age of cases is 7 years with a range of two months to seventy nine years. Higher incidence was observed in children less than five years (12, 5.3 & 3.5/100,000 < five population) in the years 2010, 2009 & 2008 respectively. From the reported 1319 measles cases 1039 (78.7%) were unvaccinated. And out of the unvaccinated children less than five years were (%). Conclusion: Majority of cases are children less than five years of age. A large proportion of cases occur among unvaccinated individuals. Improving vaccination coverage, maintaining information on vaccination history and strengthening measles surveillance is mandatory. Effectiveness of cold chain needs further assessment if vaccine failure is a factor for measles outbreaks.
Abstract: Introduction: Despite the availability of a safe and cost effective vaccine, measles remain one of the leading causes of death among young children. The majority (more than 95%) of measles deaths occur in low income countries like Ethiopia. Measles outbreaks are consistently reported from Amhara region of Ethiopia. Therefore analysis of surveillanc...
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