Articles liés à Clinical Measurement in Drug Evaluation

Clinical Measurement in Drug Evaluation - Couverture rigide

Nimmo, W. S.; Tucker, Geoffrey T.

 
9780723416821: Clinical Measurement in Drug Evaluation

Synopsis

The clinical measurement of the therapeutic and adverse effects of a drug plays an important part in drug evaluation and registration. This book presents full coverage of the principles and practice of the measurement of drug effects in humans and its role in the evaluation and development of new drugs. Clinical interpretation and relevance of data are emphasized as well as the acceptability and accuracy of methodology. Cardiovascular measurement in drug development as well as the assessment of drug effects on the central nervous system are both highlighted. With contributions from an international, leading team of scientists and clinicians from both academia and industry the book presents the latest information on this essential part of drug development.

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Quatrième de couverture

Measurement of the therapeutic and adverse effects of drugs remains a high priority for the pharmaceutical industry, particularly in proving clinical efficacy and safety, and in the evaluation and development of new drugs. Here, an international field of authors have provided a text devoted to the principles and practice of drug evaluation. Emphasis has been given to surrogate end points, peripheral vascular disease, the reliability of collection and interpretation of data and the identification, predictability and interpretation of drug interactions and adverse effects. This volume will be of enormous value to pharmacologists, cardiologists, psychiatrists and haematologists, as well as medical and research staff in industry and academia.

Présentation de l'éditeur

Internationally renowned authorities from diverse fields present the principles and practice regarding the measurement of drug effects in humans and its role in the analysis and development of new chemical entities. The main thrust is on surrogate endpoints, peripheral vascular disease, the reliability of data collection and interpretation as well as the identification, predictability and performance of drug interactions and adverse effects.

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