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Statistical Advances in the Biomedical Sciences

The Most Comprehensive and Cutting-Edge Guide to Statistical Applications in Biomedical Research With the increasing use of biotechnology;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Medical Statistics And Computer Experiments (With Cd-rom)

research. Each chapter begins with challenging medical problems and related statistical methods and theories; to make the statistical ideas more;

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Medical Statistics And Computer Experiments (With Cd-rom)

research. Each chapter begins with challenging medical problems and related statistical methods and theories; to make the statistical ideas more;

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Statistical Methodologies with Medical Applications

in Statistics and Biostatistics and for medical researchers. Illustrations and more than ninety exercises with solutions are presented. They are;

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Sequential Methods and Their Applications

, nonmathematical approach to this field, Sequential Methods and Their Applications illustrates the efficiency of sequential methodologies when dealing with;

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Sampling Methodologies with Applications

advanced and theoretical or too applied, descriptive, and lacking statistical results. Sampling Methodologies with Applications offers a;

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Sampling Methodologies with Applications

advanced and theoretical or too applied, descriptive, and lacking statistical results. Sampling Methodologies with Applications offers a;

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Statistical Methods in Healthcare

dramatically. The medical product development process is no longer able to keep pace with increasing technologies, science and innovations and the;

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Statistical Learning Using Neural Networks

with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with;

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Statistical Learning Using Neural Networks

with concrete Python code examples. It presents a wide range of widely used statistical methodologies, applied in several research areas with;

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Intro To Statistical Analysi Of Lab Data

Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods;

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Dynamic Laser Speckle and Applications

main methodologies for statistical and image analysis. It then deals with the concept of frequency decomposition before moving on to a;

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Dynamic Laser Speckle and Applications

main methodologies for statistical and image analysis. It then deals with the concept of frequency decomposition before moving on to a;

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Meta-Analysis in Medicine and Health Policy

methodologies to solve statistical problems, and presents concrete applications used by experienced medical practitioners and health policymakers;

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Meta-Analysis in Medicine and Health Policy

methodologies to solve statistical problems, and presents concrete applications used by experienced medical practitioners and health policymakers;

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Medical Product Safety Evaluation

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical;

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Medical Product Safety Evaluation

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical;

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Protein Engineering - Tools and Applications

A one-stop reference that reviews protein design strategies to applications in industrial and medical biotechnology Protein Engineering;

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Computational Intelligence Techniques for Comparative Genomics

statistical analysis approach to effectively study the disorders and possible causes along with medical applications.;

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Statistics for Long-Memory Processes

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range;

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Essential Analytics for Hospital Managers: A Guide to Statistical Problem Solving

methodologies ranging from basic statistical concepts (means and standard deviations) to more advanced statistics (Poisson distributions and queuing;

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Modern Methods for Epidemiology

introduction to recent development in statistical methodologies for epidemiological and biomedical researchers. Many of these methods have become;

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Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare

processing rely on computer science's use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI;

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Statistical Shape and Deformation Analysis

. Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image;

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Success Probability Estimation with Applications to Clinical Trials

Provides an introduction to the various statistical techniques involved in medical research and drug development with a focus on estimating;

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Computational and Statistical Methods for Analysing Big Data with Applications

with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which;

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