Biostatistics 23

**Bayes' Theorem and Bayesian Statistics: Your Gateway to Understanding** Dive into the fascinating world of Bayesian statistics with "Bayes' Theorem and Bayesian Statistics," the essential beginner……続きを見る

This essential textbook presents the basics of dental statistics in an accessible way, combining explanation in non-technical language with key messages, practical examples, suggestions for further ……続きを見る

Master Data Types: Your Essential Guide Welcome to "Data Types," the essential beginner's handbook in the esteemed "Getting Started With Statistics" series. Why You Need This Book: Foundational Kno……続きを見る

Dieses vierfarbige Kurzlehrbuch konzentriert sich auf die Mathematik-Curricula der Bachelorstudiengänge Biologie. Neben der Vermittlung des mathematischen Grundwissens stellt es den Bezug zu den zug……続きを見る

Trying to read up on statistics can be like trying to decide where you want to start eating the elephant and what’s the most digestible way to get it down. This book is written to give bite-size nug……続きを見る

The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare fiel……続きを見る

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one……続きを見る

Bayesian Approaches in Oncology Using R and OpenBUGS serves two audiences: those who are familiar with the theory and applications of bayesian approach and wish to learn or enhance their skills in R……続きを見る

Data Collection Made Simple: Your Essential Guide Welcome to "Data Collection," the indispensable beginner's handbook in the esteemed "Getting Started With Statistics" series. Why You Need This Book……続きを見る

Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical gene……続きを見る

Homogenization is a fairly new, yet deep field of mathematics which is used as a powerful tool for analysis of applied problems which involve multiple scales. Generally, homogenization is utilized a……続きを見る

Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. T……続きを見る

Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in publicly available data that simultaneo……続きを見る

Bayesian Analysis of Infectious Diseases -COVID-19 and Beyond shows how the Bayesian approach can be used to analyze the evolutionary behavior of infectious diseases, including the coronavirus pande……続きを見る

This book allows readers to gain an in-depth understanding of the role of real-world data in pharmacoepidemiology, and highlights the strengths and limitations of the respective databases with regar……続きを見る

This book volume provides complete and updated information on the applications of Design of Experiments (DoE) and related multivariate techniques at various stages of pharmaceutical product developm……続きを見る

Medical Risk Prediction Models: With Ties to Machine Learning is a hands-on book for clinicians, epidemiologists, and professional statisticians who need to make or evaluate a statistical prediction……続きを見る

This book is suitable to be used as a textbook for all levels of students in medical school. It is also useful as a reference book for students interested in the application of biostatistics in medi……続きを見る

This book volume provides complete and updated information on the applications of Design of Experiments (DoE) and related multivariate techniques at various stages of pharmaceutical product developm……続きを見る

If you have a degree in statistics, you probably know how to choose the correct statistical hypothesis test and you might not learn anything from this book. Then again, you just might… Kristen Kehre……続きを見る

The second edition of Introduction to Biostatistical Applications in Health Research delivers a thorough examination of the basic techniques and most commonly used statistical methods in health rese……続きを見る

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEMare in the social sciences. In writ……続きを見る

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners.……続きを見る

Praise for Bayesian Thinking in Biostatistics: "This thoroughly modern Bayesian book …is a 'must have' as a textbook or a reference volume. Rosner, Laud and Johnson make the case for Bayesian approa……続きを見る

This handy pocket companion provides all the necessary guidance on how to understand medical research publications, read them critically and decide whether the content of those papers is clinically ……続きを見る

Regression analysis of cause effect relationships is increasingly the core of medical and health research. This work is a 2nd edition of a 2017 pretty complete textbook and tutorial for students as ……続きを見る

Questa guida è stata scritta con l’obiettivo di favorire, in modo semplice e intuitivo e partendo dalla research question, la comprensione dei più importanti concetti di biostatistica ed epidemiolog……続きを見る

Now in its second edition, this book covers two major classes of mixed effects modelsーlinear mixed models and generalized linear mixed modelsーand it presents an up-to-date account of theory and me……続きを見る

In diesem essential wird die Anwendung von statistischen Analysen von normalverteilten Daten im Laboralltag dargestellt. Hierzu zählen die Berechnung von Mittelwert und Standardabweichung sowie die ……続きを見る

This edited collection brings together internationally recognized experts in a range of areas of statistical science to honor the contributions of the distinguished statistician, Barry C. Arnold. A ……続きを見る