Statistical methods for drug safety
Explore Important Tools for High-Quality Work in Pharmaceutical SafetyStatistical Methods for Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structural models for controlling dynamic selection bias in the analysis of large-scale longitudinal observational da…
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- Full title :Statistical methods for drug safety / Robert D. Gibbons, University of Chicago, Illinos, USA, Anup K. Amatya, New Mexio State University, Las Cruces, USA.
Summary
Explore Important Tools for High-Quality Work in Pharmaceutical SafetyStatistical Methods for Drug Safety presents a wide variety of statistical approaches for analyzing pharmacoepidemiologic data. It covers both commonly used techniques, such as proportional reporting ratios for the analysis of spontaneous adverse event reports, and newer approaches, such as the use of marginal structural models for controlling dynamic selection bias in the analysis of large-scale longitudinal observational data. Choose the Right Statistical Approach for Analyzing Your Drug Safety DataThe book describes linear.
Read More ↓Edition Statements
- Publication Date:©2016
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Boca Raton
- Language:eng
- Publication Date:©2016
The Physical Object
- Description:1 online resource (xix, 288 pages) : : illustrations
Edition Identifiers
- ISBN:9781466561854, 1466561858
- oclc:ocn915134684
- LC Classification:R729.8
- Dewey Decimal:610
Table of Contents
Front Cover; Dedication; Contents; Preface; Acknowledgments; Chapter 1 -- Introduction; Chapter 2 -- Basic Statistical Concepts; Chapter 3 -- Multi-level Models; Chapter 4 -- Causal Inference; Chapter 5 -- Analysis of Spontaneous Reports; Chapter 6 -- Meta-analysis; Chapter 7 -- Ecological Methods; Chapter 8 -- Discrete-time Survival Models; Chapter 9 -- Research Synthesis; Chapter 10 -- Analysis of Medical Claims Data; Chapter 11 -- Methods to be Avoided; Chapter 12 -- Summary and Conclusions; Bibliography; Back Cover.
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