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This book builds upon the previous two editions of John Butler’s internationally acclaimed Forensic DNA Typing textbook with forensic DNA analysts as its primary audience. Intended as a third-edition companion to the Fundamentals of Forensic DNA Typing volume published in 2010 and Advanced Topics in Forensic DNA Typing: Methodology published in 2012, this book contains 16 chapters with 4 appendices providing up-to-date coverage of essential topics in this important field. Over 80 % of the content of this book is new compared to previous editions.

DNA fingerprinting --- Moral and ethical aspects. --- DNA fingerprints --- DNA identification --- DNA profiles --- DNA profiling --- Genetic fingerprinting --- Genetic fingerprints --- Forensic genetics --- Identification --- Technique --- Data Interpretation, Statistical --- Forensic Genetics --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- methods --- DNA Fingerprinting --- DNA --- physiology

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Epidemiology --- Data Interpretation, Statistical --- Epidemiologic Methods --- Statistical methods --- Data Interpretation, Statistical. --- Epidemiologic Methods. --- 614.4 --- -ABB9205 --- 10.02.a --- Diseases --- Public health --- Epidemiologic Method --- Epidemiological Methods --- Methods, Epidemiologic --- Epidemiological Method --- Method, Epidemiologic --- Method, Epidemiological --- Methods, Epidemiological --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- Sociale hygiëne. Epidemiologie--(volksgezondheid) --- Statistieken ; Algemeen --- methods --- Statistical methods. --- Epidemiology - Statistical methods. --- Epidemiology - Statistical methods

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Data Interpretation, Statistical. --- Mutagenicity Tests. --- Mutagens --- Mutagenicity testing --- -Mutagen testing --- Mutagenesis --- Chronic toxicity testing --- Tests, Genetic Toxicity --- Toxicity Tests, Genetic --- Genetic Toxicity Tests --- Genotoxicity Tests --- Mutagen Screening --- Genetic Toxicity Test --- Genotoxicity Test --- Mutagen Screenings --- Mutagenicity Test --- Screening, Mutagen --- Screenings, Mutagen --- Test, Genotoxicity --- Tests, Genotoxicity --- Toxicity Test, Genetic --- Carcinogenicity Tests --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- toxicity. --- Statistical methods --- Testing --- Statistical methods. --- -toxicity. --- Data Interpretation, Statistical --- Mutagenicity Tests --- Mutagen testing --- toxicity

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This essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice. Applied Statistical Considerations for Clinical Researchers focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.

Medicine --- Medical statistics --- Research --- Statistical methods. --- Research Personnel. --- Data Interpretation, Statistical. --- Health --- Health statistics --- Statistics --- Health Workforce --- Statistical methods --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- Investigator, Clinical --- Investigators --- Investigators, Clinical --- Survey Personnel --- Clinical Investigator --- Clinical Investigators --- Researchers --- Investigator --- Personnel, Research --- Personnel, Survey --- Researcher --- Medical informatics. --- Biometry. --- Bioinformatics. --- Biology --- Health Informatics. --- Biostatistics. --- Biomedical Research. --- Research. --- Biological research --- Biomedical research --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Clinical informatics --- Health informatics --- Medical information science --- Data processing

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"Very little in our human experience is truly comparable to the immensely crowded and bustling interior of a cell. Biological numeracy provides a new kind of understanding of the cellular world. This book brings together up-to-date quantitative data from the vast biological literature and uses the powerful tool of "back of the envelope" estimates to reveal fresh perspectives and insights from numbers commonly encountered in cell biology. Readers gain a feeling for the sizes, concentrations, energies, and rates that characterize the lives of cells - thereby shedding new light on the microscopic realm."--Publisher's description.

Biomathematics. Biometry. Biostatistics --- Histology. Cytology --- Cells --- Cellular Structures. --- Data Interpretation, Statistical. --- Basic Sciences. Biology --- ultrastructure. --- Cellular Biology --- Cellular Biology. --- Ultrastructure. --- Cytology --- Cell physiology --- Cellular Structures --- Data Interpretation, Statistical --- Cell biology --- Cellular biology --- Biology --- Cytologists --- Data Interpretations, Statistical --- Interpretation, Statistical Data --- Statistical Data Analysis --- Statistical Data Interpretation --- Data Analysis, Statistical --- Analyses, Statistical Data --- Analysis, Statistical Data --- Data Analyses, Statistical --- Interpretations, Statistical Data --- Statistical Data Analyses --- Statistical Data Interpretations --- Cell Components --- Cell Component --- Cellular Structure --- Component, Cell --- Components, Cell --- Structure, Cellular --- Structures, Cellular --- Cell function --- Physiology --- Data processing --- ultrastructure --- 576.32/.36 --- 576.32/.36 Cell physiology. Cell biochemistry. Cell biophysics. Molecular biology of the cell --- Cell physiology. Cell biochemistry. Cell biophysics. Molecular biology of the cell