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This book has primarily been aimed at epidemiologists working with empirical data for both human and veterinary diseases. The final;
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of epidemiological data. Specific topics addressed include statistical interference in epidemiological research, important methods used for analyzing;
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statistical analyses and data management tasks in Python Applied Univariate, Bivariate, and Multivariate Statistics Using Python delivers a;
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of applications in modelling categorical, survival, spatial, spatiotemporal, Epidemiological, software reliability, small area and micro array data. The;
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A practical source for performing essential statistical analyses and data management tasks in R Univariate, Bivariate, and Multivariate;
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Survival Analysis for Bivariate Truncated Data provides readers with a comprehensive review on the existing works on survival analysis;
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Addresses emerging statistical challenges in epidemiological, biomedical, and pharmaceutical research. This volume features: methods for;
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The purpose of this book is to help the users of computerised statistical packages make the correct statistical choices to match the data;
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, the explosive growth of science in general, and of clinical and epidemiological sciences in particular, has led to the development of new;
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The field of credit risk and corporate bankruptcy prediction has gained considerable momentum follow;...
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The field of credit risk and corporate bankruptcy prediction has gained considerable momentum follow;...
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programming, modelling of grazing periodic solutions in discontinuous systems, modelling of predation system, fractional epidemiological model for;
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alongside an analysis of the broad context in which epidemiological work is undertaken. Chapters on sources of epidemiological data, on;
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the data used is collected. Epidemiological Studies: A Practical Guide focuses on the practical challenges of epidemiological data;
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Includes a review of the literature on data modelling and logical database design, referencing nearly 500 publications, with a focus on;
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In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use;
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widespread availability of public health data resulted in more reported epidemiological studies in literature. However, analysis of secondary data;
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Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;
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Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips;
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a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring;
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Applied Cross-Cultural Data Analysis for Social Work is a research guide for examining and interpreting data for the purpose of cultural;
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Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational;
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Since the original publication of the bestselling Modelling Binary Data, a number of important methodological and computational;
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