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University GENERAL Principles of Statistical Data Handling deals with the most neglected aspect of implementing a quantitative research design;
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Statistical and Data Handling Skills in Biology puts statistics into context to show biology students the relevance of statistical analysis;
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. Statistical methods for handling such data have developed rapidly in the last twenty years, particularly data display, correlation, regression and;
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what your experiments are actually telling you. Statistical and Data Handling Skills in Biology gives you everything you need to master;
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Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current;
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in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and;
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: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data;
Vergelijkbare producten zoals Statistical Methodology in the Pharmaceutical Sciences
: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data;
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Statistical techniques for the presentation and analysis of biological data are indispensable tools for the biologist. The purpose of this;
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ideas and rules that underlie statistical reasoning. The text presents a thorough, step-by-step development of fundamental principles. It;
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handling diverse data types such as gene expression array, miRNA, copy number, methylation, and next-generation sequencing data. This material;
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This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics;
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This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that;
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This work details the fundamentals of applied statistics and experimental design, presenting a unified approach to data handling that;
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your experiments are actually telling you and so being able to answer your research questions. Statistical and Data Handling Skills;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to;
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Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency;
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The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;
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fundamental for a federal statistical agency: relevance to policy issues, credibility among data users, trust among data providers, and independence;
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Since 1992, the Committee on National Statistics (CNSTAT) has produced a book on principles and practices for a federal statistical agency;
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towards a critical understanding and handling of data sets together with the ensuing testing of hypotheses. This approach distinguishes it from;
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The first edition of Analysis for Longitudinal Data has become a classic. Describing the statistical models and methods for the analysis;
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huge amounts of such data are generated within various administrative systems, the opportunity exists to use the data for statistical analysis;
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Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles;
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Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a;
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over time. Focusing on pre-publication data collection and handling, the text illustrates use of these key concepts to match data collection and;
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