Kategoria BISAC: Medical >> Biostatistics

The discussed methods are illustrated with a wealth of examples, including applications ranging from stylized examples to case studies from recent literature. The...

In diesem Buch fallen mathematische Fakten nicht vom Himmel, sondern werden an Fragestellungen aus der Biologie oder Alltagswelt nach und nach herausgearbeitet. Besonderer Wert wurde darauf gelegt, dass die Studierenden ein mathematisches Verstandnis erwerben konnen, damit sie fur ihr Problem die richtigen mathematischen Methoden auswahlen und korrekt anwenden und besser mit Mathematikern kommunizieren konnen. Eine weitere Besonderheit bei der Darstellung ist die Verarbeitung von Analysis einer Variablen, quantitativer Erfassung von Entwicklungsprozessen, Wahrscheinlichkeitslehre und...

All the Essentials to Start Using Adaptive Designs in No Time

Compared to traditional clinical trial designs, adaptive designs often lead to increased success rates in drug development at reduced costs and time. Introductory Adaptive Trial Designs: A Practical Guide with R motivates newcomers to quickly and easily grasp the essence of adaptive designs as well as the foundations of adaptive design methods.

The book reduces the mathematics to a minimum and makes the material as practical as possible. Instead of providing general,...

Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be applied using SAS or R software.

The book describes advanced regression models that include the time dimension, such as mixed-effect models, survival models, multistate models, and joint models for repeated measures...

Explore Important Tools for High-Quality Work in Pharmaceutical Safety

Statistical Methods for Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structural models for controlling dynamic selection bias in the analysis of large-scale longitudinal observational data.

Choose the Right Statistical Approach for...

Is adaptive randomization always better than traditional fixed-schedule randomization? Which procedures should be used and under which circumstances? What special considerations are required for adaptive randomized trials? What kind of statistical inference should be used to achieve valid and unbiased treatment comparisons following adaptive randomization designs?

Modern Adaptive Randomized Clinical Trials: Statistical and Practical Aspects answers these questions and more.

From novel designs to cutting-edge applications, this book presents several new and...

Develop Effective Immunogenicity Risk Mitigation Strategies

Immunogenicity assessment is a prerequisite for the successful development of biopharmaceuticals, including safety and efficacy evaluation. Using advanced statistical methods in the study design and analysis stages is therefore essential to immunogenicity risk assessment and mitigation strategies. Statistical Methods for Immunogenicity Assessment provides a single source of information on statistical concepts, principles, methods, and strategies for detection, quantification, assessment,...

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care...

Now in its third edition and supplemented with more online material, this book aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the exciting topics of gene discovery and database-searching, such books have hardly considered genomes as information channels through which multiple forms and levels of information have passed...

In medical and health care the scientific method is little used, and statistical software programs are experienced as black box programs producing lots of p-values, but little answers to scientific questions. The pocket calculator analyses appears to be, particularly, appreciated, because they enable medical and health professionals and students for the first time to understand the scientific methods of statistical reasoning and hypothesis testing. So much so, that it can start something like a new dimension in their professional world. In addition, a number of statistical methods like...

Dieses Buch fuhrt in grundlegende Methoden der Mathematik ein, die in den Biowissenschaften angewendet werden. Die Themenbereiche wurden in der dritten Auflage erheblich erweitert. Sie umfassen u.a. Verfahren zur Auswertung von Beobachtungsdaten, die fur das Fachgebiet wichtigen Funktionen, die Anpassung von Funktionen an Daten, Modellbildung mit Differentialgleichungen, Vektoren und Matrizen sowie Schatz- und Testverfahren. Die Darstellung der Inhalte baut auf der Schulmathematik auf. Das Buch enthalt ein umfangreiches Ubungsmaterial, mit dem eine Sicherheit in der Anwendung der Methoden...

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 or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues.

Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determine this quickly and terminate the clinical evaluation process to avoid wasting resources.

Bayesian Designs for Phase I II Clinical Trials describes how phase I II designs can serve as a bridge or protective barrier between preclinical studies and large confirmatory...

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 field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.

Healthcare is important to everyone, yet large variations in its quality have been well documented both between and within many countries. With demand and expenditure rising, it s more crucial than ever to know how well the healthcare system and all its components from staff member to regional network are performing. This requires data, which inevitably differ in form and quality. It also requires statistical methods, the output of which needs to be presented so that it can be understood by whoever needs it to make decisions.

Guides You on the Development and Implementation of B R Evaluations

Benefit Risk Assessment Methods in Medical Product Development: Bridging Qualitative and Quantitative Assessments provides general guidance and case studies to aid practitioners in selecting specific benefit risk (B R) frameworks and quantitative methods. Leading experts from industry, regulatory agencies, and academia present practical examples, lessons learned, and best practices that illustrate how to conduct structured B R assessment in clinical development and regulatory...