Sunday, August 19, 2012

Statistical Thinking for Non-Statisticians in Drug Regulation

Statistical Thinking for Non-Statisticians in Drug Regulation



Author: Richard Kay
Edition: 1
Publisher: Wiley-Interscience
Binding: Hardcover
ISBN: 0470319712



Statistical Thinking for Non-Statisticians in Drug Regulation


Written by a well-known lecturer and consultant to the pharmaceutical industry, this book focuses on the pharmaceutical non-statistician working within a very strict regulatory environment. Medical books Statistical Thinking for Non-Statisticians in Drug Regulation. Medical books Statistical Thinking for Non-Statisticians in Drug Regulation. Categories: Pharmaceutical industry, Drugs->Testing->Statistical methods, Drug Approval. Contributors: Richard Kay - Author. Format: Hardcover

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Categories: Pharmaceutical industry, Drugs->Testing->Statistical methods, Drug Approval. Contributors: Richard Kay - Author. Format: Hardcover

Categories: Pharmaceutical industry, Drugs->Testing->Statistical methods, Drug Approval. Contributors: Richard Kay - Author. Format: Hardcover

Written by a well-known lecturer and consultant to the pharmaceutical industry this book focuses on the pharmaceutical non-statistician160working within a very strict regulatory environment.160Statistical Thinking for Clinical Trials in Drug Regulation presents the concepts and statistical thinking behind medical studies with a direct connection to the regulatory environment so that readers can be clear where the statistical methodology fits in with industry requirements. Pharmaceutical-related examples are used throughout to set the information in context.160As a result this book provides a d

Written by a well-known lecturer and consultant to the pharmaceutical industry, this book focuses on the pharmaceutical non-statistician working within a very strict regulatory environment. Statistical Thinking for Clinical Trials in Drug Regulation presents the concepts and statistical thinking behind medical studies with a direct connection to the regulatory environment so that readers can be clear where the statistical methodology fits in with industry requirements. Pharmaceutical-related examples are used throughout to set the information in context. As a result, this book provides a detai



Medical Book Statistical Thinking for Non-Statisticians in Drug Regulation

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