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Biostatistics: Basic and Advanced

This book covers all the topics taught at the postgraduate level in the life sciences discipline. Part I covers the basics;

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How to Report Statistics in Medicine

This new edition makes many of the basic and advanced concepts of biostatistics more accessible to readers. It is one of the few books that;

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Biostatistics

The book is aimed at providing an understanding of basic principles and practices of Biostatistics. Attempt has been made to give a;

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Health and Numbers

fully problems-based introduction to biostatistics and offers a concise introduction to basic statistical concepts and reasoning at a level;

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Understanding Biostatistics

features: * Discusses confidence intervals and p-values in terms of confidence functions. * Explains basic statistical methodology represented;

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Biostatistics for Epidemiology and Public Health Using R

a step-by-step approach to building skills. The text encompasses biostatistics from basic descriptive and quantitative statistics to;

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Sequential Statistics

and statistics are maintained at a basic level. Only a course in each of three areas - advanced calculus, probability and statistical;

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Biostatistics for Human Genetic Epidemiology

through an effective epidemiologic model, from simple to advanced levels. Classical mathematical, probabilistic, and statistical;

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Introductory Biostatistics 2nd Edition

Maintaining the same accessible and hands-on presentation, Introductory Biostatistics, Second Edition continues to provide an organized;

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Recent Advances in Biostatistics

and the pharmaceutical industry.The book is also intended to give advanced graduate students and new researchers a scholarly overview;

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Basic Biostatistics For Geneticists And Epidemiologists

statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics;

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Basic Biostatistics for Geneticists and Epidemiologists

statistical background and who need to keep abreast of new findings in this fast moving field. Unlike many other elementary books on biostatistics;

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Bayesian Biostatistics

and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world;

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Biostatistics

forward, clear approach to biostatistics, containing rigorous explanations of elementary methods without the bells and whistles associated with;

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Applied Biostatistics for the Health Sciences, Sec ond Edition

and biostatistics. The book covers sample design, logistic regression, experimental design, survival analysis, basic statistical computation;

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Basic & Clinical Biostatistics

introduction to biostatistics and epidemiology applied to medicine, clinical practice, and research. Features Presenting Problems (case studies;

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Biostatistics & Research Methodology

This book contains 13 chapters. They include Basic concepts, Probability and Probability distributions, Tests of Hypotheses, Chi-square;

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The Essentials of Biostatistics for Physicians, Nurses, and Clinicians

basic introduction to the relationship between biostatistics and medical research, asking the question why study statistics?, while also;

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Biostatistics in Public Health Using STATA

of statistics in public health, it facilitates a clear understanding of the basic commands of STATA for reading and saving databases. The book;

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Biostatistics for Medical and Biomedical Practitioners

Basic Biostatistics for Medical and Biomedical Practitioners, Second Edition makes it easier to plan experiments, with an emphasis on;

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Basic Biostatistics

Basic Biostatistics is a concise, introductory text that covers biostatistical principles and focuses on the common types of data;

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Regression Methods in Biostatistics

advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for;

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Basic & Clinical Biostatistics

any online entitlements included with the product. The acclaimed user-friendly introduction to biostatistics and epidemiology in clinical;

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Elements of Distribution Theory

in calculus and linear algebra. Topics range from the basic distribution and density functions, expectation, conditioning, characteristic functions;

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Biostatistics and Microbiology

This nuts and bolts book provides a condensation of biostatistical methods that applied microbiology researchers need to perform data;

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Biostatistics and Computer-based Analysis of Health Data using R

explore basic and variable commands, sample comparisons, analysis of variance, epidemiological studies, and censored data. With;

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Biostatistics with R

in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and;

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