Author: Richard Kay
Edition: 1
Publisher: Wiley-Interscience
Binding: Kindle Edition
ISBN: B00CQYGKI4
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
Download link for Statistical Thinking For Non-statisticians In Drug Regulation By Richard Kay
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
