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Statistical Modeling in Biomedical Research

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers;

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Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field

This edited collection discusses the emerging topics in statistical modeling for biomedical research. Leading experts in the frontiers;

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Statistical Thinking in Epidemiology

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not;

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Statistical Thinking in Epidemiology

While biomedical researchers may be able to follow instructions in the manuals accompanying the statistical software packages, they do not;

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Statistical Modeling For Biomedical Researchers

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the;

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Statistical Modeling for Biomedical Researchers

The second edition of this standard text guides biomedical researchers in the selection and use of advanced statistical methods and the;

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Statistical Evaluation of Diagnostic Performance

important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms;

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Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences

Experimental Design and Statistical Analysis for Pharmacology and the Biomedical Sciences A practical guide to the use of basic principles;

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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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Biomedical Engineering Tools for Management for Patients with COVID-19

Biomedical Engineering Tools for Management of Patients with COVID-19 presents biomedical engineering tools under research (and;

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Signal Processing in Medicine and Biology

statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their;

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Biostatistics for Medical and Biomedical Practitioners

indispensable for researchers and students across the biomedical sciences. The book features a step-by-step approach, focusing on standard;

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Multiphysics Modeling with Application to Biomedical Engineering

The aim of this book is to introduce the simulation of various physical fields and their applications for biomedical engineering, which;

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Finite Element Analysis for Biomedical Engineering Applications

Finite element analysis has been widely applied to study biomedical problems. This book aims to simulate some common medical problems using;

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Computational Bioengineering and Bioinformatics

prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for;

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Computational Bioengineering and Bioinformatics

prediction, biomedical image processing, analysis and visualization, and high-performance computing. It also discusses state-of-the-art tools for;

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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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Multilevel Modeling

. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated;

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Multilevel Modeling

. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated;

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Fundamentals of Chaos and Fractals for Cardiology

readers to apply the course material. This is an ideal textbook for graduate students in biomedical engineering departments, researchers who;

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Biostatistics and Computer-based Analysis of Health Data using Stata

is primarily intended for health researchers with basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the;

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Biostatistics and Computer-based Analysis of Health Data Using SAS

is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the;

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R For Medicine And Biology

, processing, sharing, and analyzing biomedical data. R for Medicine and Biology is a step-by-step guide through the use of the statistical;

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Mathematical Modeling in Biomedical Imaging II

computational tools. It is particularly suitable for researchers and graduate students in applied mathematics and biomedical engineering.;

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Computational Methods in Biomedical Research

Continuing advances in biomedical research and statistical methods call for a constant stream of updated, cohesive accounts of new;

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Data Analytics in Biomedical Engineering and Healthcare

in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;

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Introduction to Applied Statistical Signal Analysis

Introduction to Applied Statistical Signal Analysis, Third Edition, is designed for the experienced individual with a basic background;

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