David Machin – författare

Praise for the First Edition:

"... very useful as an introduction to clinical research, or for those planning specific studies within therapeutic or disease areas." BRITISH JOURNAL OF SURGERY, Vol. 92, No. 2, February 2005

The book’s main concept is to describe the impact of clinical trials on the practice of medicine. It separates the information by therapeutic area because the impact of clinical trials, the problems encountered, and the numbers of trials in existence vary tremendously from specialty to specialty. The sections provide a background to the disease area and general clinical trial methodology before concentrating on particular problems experienced in that area.  Specific examples are used throughout to address these issues.

The Textbook of Clinical Trials, Second Edition: 

With the emphasis that is now placed on evidence-based medicine, such care and rigour will inevitably impact on these areas with increasing attention turned to the quality of design. 

This title describes what principles can be used to structure research effectively allowing for the required degree of accuracy.

Written by two best selling authors, this book includes many examples from medical literature and will be of great value to all groups conducting studies at the interface of clinical and laboratory research.

An Introduction to Statistics in Early Phase Trials is an essential guide for all researchers working in early phase clinical trial development, from clinical pharmacologists and pharmacokineticists through to clinical investigators and medical statisticians. It is also a valuable reference for teachers and students of pharmaceutical medicine learning about the design and analysis of clinical trials.

Illustrated with many authentic examples, the book introduces basic statistical concepts and methods to construct survival curves, later developing them to encompass more specialised and complex models.

During the years since the first edition there have been several new topics that have come to the fore and many new applications.  Parallel developments in computer software programmes, used to implement these methodologies, are relied upon throughout the text to bring it up to date.

This book provides a range of highly accessible approaches from Discourse Studies for analyzing legal language in legislation, documents, proceedings and in news media reporting.

In this insightful volume, scholars from both Law and Linguistics come together to provide a range of approaches from Discourse Studies for analyzing legal language in legislation, documents and proceedings and in news media reporting. The book begins with tackling exactly why such approaches are hugely helpful and valuable for understanding the nature of legal language and how it is used. The chapters, written in an accessible manner, show how discourse analysis can be used to throw light on the ideas and values which can be buried in legal language. The book provides a valuable resource for researchers wishing to carry out their own research or for use in teaching.

The Law and Critical Discourse Studies will be a key resource for academics, researchers, and advanced students of law, language and linguistics, discourse studies, sociology, and media and cultural studies.This book was originally published as a special issue of the journal Critical Discourse Studies.

This book provides a range of highly accessible approaches from Discourse Studies for analyzing legal language in legislation, documents, proceedings and in news media reporting.

In this insightful volume, scholars from both Law and Linguistics come together to provide a range of approaches from Discourse Studies for analyzing legal language in legislation, documents and proceedings and in news media reporting. The book begins with tackling exactly why such approaches are hugely helpful and valuable for understanding the nature of legal language and how it is used. The chapters, written in an accessible manner, show how discourse analysis can be used to throw light on the ideas and values which can be buried in legal language. The book provides a valuable resource for researchers wishing to carry out their own research or for use in teaching.

The Law and Critical Discourse Studies will be a key resource for academics, researchers, and advanced students of law, language and linguistics, discourse studies, sociology, and media and cultural studies.This book was originally published as a special issue of the journal Critical Discourse Studies.

Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout.

Regression Methods for Medical Research is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.

Regression Methods for Medical Research provides medical researchers with the skills they need to critically read and interpret research using more advanced statistical methods. The statistical requirements of interpreting and publishing in medical journals, together with rapid changes in science and technology, increasingly demands an understanding of more complex and sophisticated analytic procedures.The text explains the application of statistical models to a wide variety of practical medical investigative studies and clinical trials. Regression methods are used to appropriately answer the key design questions posed and in so doing take due account of any effects of potentially influencing co-variables. It begins with a revision of basic statistical concepts, followed by a gentle introduction to the principles of statistical modelling. The various methods of modelling are covered in a non-technical manner so that the principles can be more easily applied in everyday practice. A chapter contrasting regression modelling with a regression tree approach is included. The emphasis is on the understanding and the application of concepts and methods. Data drawn from published studies are used to exemplify statistical concepts throughout.

Regression Methods for Medical Research is especially designed for clinicians, public health and environmental health professionals, para-medical research professionals, scientists, laboratory-based researchers and students.

The assessment of patient reported outcomes and health-related quality of life continue to be rapidly evolving areas of research and this new edition reflects the development within the field from an emerging subject to one that is an essential part of the assessment of clinical trials and other clinical studies.The analysis and interpretation of quality-of-life assessments relies on a variety of psychometric and statistical methods which are explained in this book in a non-technical way. The result is a practical guide that covers a wide range of methods and emphasizes the use of simple techniques that are illustrated with numerous examples, with extensive chapters covering qualitative and quantitative methods and the impact of guidelines. The material in this new third edition reflects current teaching methods and content widened to address continuing developments in item response theory, computer adaptive testing, analyses with missing data, analysis of ordinal data, systematic reviews and meta-analysis.This book is aimed at everyone involved in quality-of-life research and is applicable to medical and non-medical, statistical and non-statistical readers. It is of particular relevance for clinical and biomedical researchers within both the pharmaceutical industry and clinical practice.

The assessment of patient reported outcomes and health-related quality of life continue to be rapidly evolving areas of research and this new edition reflects the development within the field from an emerging subject to one that is an essential part of the assessment of clinical trials and other clinical studies.The analysis and interpretation of quality-of-life assessments relies on a variety of psychometric and statistical methods which are explained in this book in a non-technical way. The result is a practical guide that covers a wide range of methods and emphasizes the use of simple techniques that are illustrated with numerous examples, with extensive chapters covering qualitative and quantitative methods and the impact of guidelines. The material in this new third edition reflects current teaching methods and content widened to address continuing developments in item response theory, computer adaptive testing, analyses with missing data, analysis of ordinal data, systematic reviews and meta-analysis.This book is aimed at everyone involved in quality-of-life research and is applicable to medical and non-medical, statistical and non-statistical readers. It is of particular relevance for clinical and biomedical researchers within both the pharmaceutical industry and clinical practice.

An authoritative resource that offers the statistical tools and software needed to design and plan valid clinical studies

Now in its fourth and extended edition, Sample Sizes for Clinical, Laboratory and Epidemiology Studiesincludes the sample size software (SSS) and formulae and numerical tables needed to design valid clinical studies. The text covers clinical as well as laboratory and epidemiology studies and contains the information needed to ensure a study will form a valid contribution to medical research. 

The authors, noted experts in the field, explain step by step and explore the wide range of considerations necessary to assist investigational teams when deriving an appropriate sample size for their when planned study. The book contains sets of sample size tables with companion explanations and clear worked out examples based on real data. In addition, the text offers bibliography and references sections that are designed to be helpful with guidance on the principles discussed.

This revised fourth edition:

Written for medical researchers from all specialities and medical statisticians, Sample Sizes for Clinical, Laboratory and EpidemiologyStudies offers an updated fourth edition of the important guide for designing and planning reliable and evidence based clinical studies.