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Thermal-Aware Testing of Digital VLSI Circuits and Systems

Multiple Testing Problems in Pharmaceutical Statistics

Multiple Testing Problems in Pharmaceutical Statistics

Useful Statistical Approaches for Addressing Multiplicity IssuesIncludes practical examples from recent trials Bringing together leading statisticians scientists and clinicians from the pharmaceutical industry academia and regulatory agencies Multiple Testing Problems in Pharmaceutical Statistics explores the rapidly growing area of multiple comparison research with an emphasis on pharmaceutical applications. In each chapter the expert contributors describe important multiplicity problems encountered in pre-clinical and clinical trial settings. The book begins with a broad introduction from a regulatory perspective to different types of multiplicity problems that commonly arise in confirmatory controlled clinical trials before giving an overview of the concepts principles and procedures of multiple testing. It then presents statistical methods for analyzing clinical dose response studies that compare several dose levels with a control as well as statistical methods for analyzing multiple endpoints in clinical trials. After covering gatekeeping procedures for testing hierarchically ordered hypotheses the book discusses statistical approaches for the design and analysis of adaptive designs and related confirmatory hypothesis testing problems. The final chapter focuses on the design of pharmacogenomic studies based on established statistical principles. It also describes the analysis of data collected in these studies taking into account the numerous multiplicity issues that occur. This volume explains how to solve critical issues in multiple testing encountered in pre-clinical and clinical trial applications. It presents the necessary statistical methodology along with examples and software code to show how to use the methods in practice.

GBP 42.99
1

Antimicrobials in Food

Antimicrobials in Food

Fifteen years have passed since the 3rd edition of Antimicrobials in Food was published. It was arguably considered the must-have reference for those needing information on chemical antimicrobials used in foods. In the years since the last edition the food industry has undergone radical transformations because of changes on several fronts. Reported consumer demands for the use of natural and clean-label antimicrobials have increased significantly. The discovery of new foodborne pathogen niches and potentially hazardous foods along with a critical need to reduce food spoilage waste has increased the need for suitable antimicrobial compounds or systems. Novel natural antimicrobials continue to be discovered and new research has been carried out on traditional compounds. These and other related issues led the editors to develop the 4th edition of Antimicrobials in Food. In the 4th edition the editors have compiled contemporary topics with information synthesized from internationally recognized authorities in their fields. In addition to updated information new chapters have been added in this latest release with content on the use of bacteriophages lauric arginate ester and various systems for antimicrobial encapsulation and delivery. Comprehensive revisions of landmark chapters in previous editions including naturally occurring antimicrobials from both animal and plant sources methods for determining antimicrobial activity new approaches to multifactorial food preservation or hurdle technology and mechanisms of action resistance and stress adaptation are included. Complementing these topics is new information on quantifying the capability of clean antimicrobials for food preservation when compared to traditional food preservatives and industry considerations when antimicrobials are evaluated for use in food manufacture. Features Covers all food antimicrobials natural and synthetic with the latest research on each type Contains 5 000+ references on every conceivable food antimicrobial Guides in the selection of appropriate additives for specific food products Includes innovations in antimicrobial delivery technologies and the use of multifactorial food preservation with antimicrobials

GBP 42.99
1

Ransomware Penetration Testing and Contingency Planning

The Pocket Mentor for Video Game Testing

Chitin- and Chitosan-Based Biocomposites for Food Packaging Applications

Farm Animal Welfare Law International Perspectives on Sustainable Agriculture and Wildlife Regulation

Get Through MRCOG Part 3 Clinical Assessment Second Edition

No-Frills Physics A Concise Study Guide for Algebra-Based Physics

The Agrochemical and Pesticides Safety Handbook

Sacred Cows And Hot Potatoes Agrarian Myths And Agricultural Policy

The Need for Critical Thinking and the Scientific Method

Responses to Disasters and Climate Change Understanding Vulnerability and Fostering Resilience

Pesticide Regulation Handbook A Guide for Users

Game Design Tools Cognitive Psychological and Practical Approaches

Revival: Principles of Seed Pathology (1987) Volume II

An Introduction to Statistical Inference and Its Applications with R

The Easy Guide to Focused History Taking for OSCEs

World Soybean Research Conference III Proceedings

Livestock Development In Subsaharan Africa Constraints Prospects Policy

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Using the same accessible hands-on approach as its best-selling predecessor the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS Second Edition explains how to apply statistical tests to experimental findings identify the assumptions underlying the tests and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second EditionThree new chapters on multiple discriminant analysis logistic regression and canonical correlationNew section on how to deal with missing dataCoverage of tests of assumptions such as linearity outliers normality homogeneity of variance-covariance matrices and multicollinearityDiscussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis path analysis (test of the mediation hypothesis) and structural equation modelingSuitable for both newcomers and seasoned researchers in the social sciences the handbook offers a clear guide to selecting the right statistical test executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.

GBP 42.99
1