Minimally Invasive Dentistry

A helpful introduction to the Minimally Invasive Dentistry concept for patient care in the treatment of dental disease Minimally Invasive Dentistry provides a practical introduction to holistic patient care across all the dental specialties. Beginning with the definitions and key principles of MID, the following chapters focus on the concepts of MID, including saliva as a natural product, risk assessments, the early detection of diseases, management of dental caries, futuristic materials, innovative techniques, and the implementation of preventative strategies with health education for patients. In this way, this book offers a comprehensive and evidence-based look at this important branch of dentistry. Minimally Invasive Dentistry readers will also find: * A unique approach to minimally invasive dentistry across all dental disciplines * A companion website with case studies and interactive MCQs to test your knowledge * Coverage of MID factors in the prevention, control and treatment

Bayesian Biostatistics

This work provides descriptions, explanations and examples of the Bayesian approach to statistics, demonstrating the utility of Bayesian methods for analyzing real-world problems in the health sciences. The work considers the individual components...

Elementary Bayesian Biostatistics

Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors as well as the modern innovations of adaptive randomization and predictive power. Presen...

Bayesian Thinking in Biostatistics

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 approaches by melding clear exposition on methodol...

Bayesian Biostatistics

The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The ...

Bayesian Methods

An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Method...

Applied Bayesian Modelling

This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statist...

Biostatistics

An essential introductory text linking traditional biostatistics with bayesian methods In recent years, Bayesian methods have seen an explosion of interest, with applications in fields including biochemistry, ecology, medicine, oncology, pharmacol...

Mathematical Theory of Bayesian Statistics

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more accurate in many real-world problems than the maximum likelihood method. Recent research has uncovered several m...

Handbook of Approximate Bayesian Computation

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive ov...

Understanding Biostatistics

Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus h...

Bayesian Rationality

Are people rational? This question was central to Greek thought and has been at the heart of psychology and philosophy for millennia. This book provides a radical and controversial reappraisal of conventional wisdom in the psychology of reasoning,...

Bayesian Data Analysis

Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzin...

Bayesian Phylogenetics

Offering a rich diversity of models, Bayesian phylogenetics allows evolutionary biologists, systematists, ecologists, and epidemiologists to obtain answers to very detailed phylogenetic questions. Suitable for graduate-level researchers in statist...

Hierarchical Bayesian Optimization Algorithm

This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace tra...

Biostatistics Cookbook

One aim of this handbook is to help you choose the correct tool for the job at hand, understand its strengths and weaknesses, and to help you recognize when you should seek expert advice.

Biostatistics

Biostatistics, Second Edition, is a user-friendly guide on biostatistics, which focuses on the proper use and interpretation of statistical methods. This textbook does not require extensive background in mathematics, making it user-fr...

Bayesian Modeling of Spatio-Temporal Data with R

Applied sciences, both physical and social, such as atmospheric, biological, climate, demographic, economic, ecological, environmental, oceanic and political, routinely gather large volumes of spatial and spatio-temporal data in order to make wide...

Topics in Biostatistics

Basic Biostatistics presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. Methods range from the elementary, including descriptive statistics, study design, statistical interference, categorical variab...

Epidemiology and Biostatistics

This workbook is designed to teach the major fundamental concepts in Epidemiology, Biostatistics, and clinical research design alongside the textbook "Epidemiology and Biostatistics, 2nd Edition". It is written in concise and organized f...

Bayesian Structural Equation Modeling

This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters on each SEM model clearly explain the Bayesian form of the model and walk the reader th...

Computational Bayesian Statistics

Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and...

Bayesian Epistemology

Probabilistic models have much to offer to philosophy. We continually receive information from a variety of sources: from our senses, from witnesses, from scientific instruments. When considering whether we should believe this information, we asse...

Social Inquiry and Bayesian Inference

Fairfield and Charman provide a modern, rigorous and intuitive methodology for case-study research to help social scientists and analysts make better inferences from qualitative evidence. The book develops concrete guidelines for conducting infere...

Biostatistics for Radiologists

The aim of this book is to present statistical problems and methods in a friendly way to radiologists, emphasizing statistical issues and methods most frequently used in radiological studies (e.g., nonparametric tests, analysis of intra- and inter...

Biostatistics with R

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ...

Regression Methods in Biostatistics

This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to oth...

Über Find.to

Find.to hilft dir, Lebensmittel zu entdecken, die zu deinen Ernährungspräferenzen passen. Scanne einfach einen Barcode oder suche nach dem Produktnamen.

Mit Find.to kannst du Produkte scannen, Preise zwischen Händlern vergleichen und Informationen zu Allergenen sowie Nährwerten erhalten.


Kontakt: hi@find.to

Einstellungen

Startansicht

Ernährung

Allergenwarnungen

Keine Allergene ausgewählt

GTIN

Kamera wird geladen