1,720,987 research outputs found

    Modelling count data : an application to a breast cancer data in Malaysia / Siti Afiqah Muhamad Jamil

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    Cancer is a disease of cells and virtually affects everyone as it is one of the most common factors that influenced the deaths of people in Malaysia. Breast cancer patient who were diagnosed, varies among institution in Malaysia. A study was conduct to review the deaths of breast cancer based on the breast cancer data in Malaysia. The breast cancer data contains 62 numbers of observations according to the duration of data collected from years 1980 until 2010. The data was collected yearly in Malaysia by the Institute for Health Metrics and Evaluation (IMHE) on the systematic analysis of collecting the data. There were three variables which comprised the number of deaths of breast cancer, the number of cases of breast cancer and the age group. The dependent variable was the number of deaths of breast cancer, while the independent variable includes the number of cases of breast cancer and the age group which comprised women aged 15-49 and women aged 50-79. The first objective of the study was to determine the trend pattern of the number of breast cancer deaths among women aged 15-49 and women aged 50-79. The second objective was to identify the best count data model that fit the number of breast cancer deaths among women aged 15-49 and women aged 50-79. The last objective was to identify factors that affecting the deaths of breast cancer from the cases of breast cancer and the women aged 15-49 and women aged 50-79. The breast cancer data was analysed using the EXCEL, SPSS software and SAS procedure. The finding indicates that: (1) the trend pattern of women aged 15-49 was lower compared to the pattern of women aged 50-79. (2) The best fit model to be used when modelling counts data was the Negative Binomial regression analysis model. (3) The factor that show high influences on analysing the number of deaths of breast cancer was number of case

    Determining the prognostic factors of lung cancer data using multiple linear regression analysis / Siti Afiqah Muhamad Jamil and Nurain Ibrahim

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    Due to the discovery of numerous cancer types, the risk of mortality among people has significantly increased. In Malaysia, lung cancer is one of the top five cancers that affect both men and women. The purpose of this study is to examine the association between the type of lung cancer and treatment of lung cancer and its associated factors that influence the duration of survival among lung cancer patients. A retrospective cohort study was carried out among lung cancer patients from one of the general hospitals in Johor. The lung cancer data will apply the Chi-Square Test for Independent and Multiple Linear Regression analysis. Several assumptions of model diagnostic prior to data analysis also have been conducted. The results indicated that type and treatment of lung cancer significantly associated towards the duration of survival. Based on descriptive statistics, there is high frequency on male compared to female, Chinese compared to other races, Adenocarcinoma type of Non-Small Cell Lung Cancer (NSCLC) and Chemoradiotherapy (CCRT) compared to other treatments. In short, based on the analysis, it was found that gender and treatment significantly affecting the duration of su1vival of lung cancer patients. Therefore, this will provide insights into which factors are most strongly associated with the prognosis besides, helps in prioritize and rank the importance of different factors

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    User satisfaction towards information system of career development center : case study of Universitas Padjadjaran, Indonesia

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    This article presents the results of a survey towards users of information system of Career Development Center, Universitas Padjadjaran (CDC UNPAD), Indonesia. Data were obtained from online form questionnaires that were disseminated through twitter.com/cdcunpad and http://cdc.unpad.ac.id. As many as 459 respondents completed the questionnaires and be chosen through probability sampling method. The data were analyzed by calculating the percentage of performance score to expectation score, and illustrated in expectation-performance diagram to show priority. Findings show that all indicators were still below expectation. Therefore CDC Unpad should conduct adaptive maintenance towards its system based on the priority that be suggested

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    The study of visitor satisfaction and intention to revisit in Nilai 3, Negeri Sembilan / Norfazimah Zulkifli, Nur Waie Damia Muhamad Jamil and Nurfarah Ain Mustafa

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    The objective of this study is to investigate the relationship between customer interaction, convenience, and variety as an antecedent on visitor satisfaction and intention to revisit the destination in Nilai 3, Negeri Sembilan. This study also identified the relationship between the mediator of visitor satisfaction and intention to revisit in Nilai 3, Negeri Sembilan. A total of 300 questionnaires were collected from visitor who had visited the destination. The data is analysed using Statistical Package for Social Sciences System (SPSS). The results of this study indicated that customer interaction has the greatest influence on the visitor satisfaction followed by convenience and variety. Therefore, customer interaction is important to satisfy visitors to return back to Nilai 3 as visitor also shop for social reason

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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