Key Statistical Concepts in Clinical Trials for Pharma
β Scribed by J. Rick Turner (auth.)
- Publisher
- Springer-Verlag New York
- Year
- 2012
- Tongue
- English
- Leaves
- 66
- Series
- SpringerBriefs in Pharmaceutical Science & Drug Development
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This Brief discusses key statistical concepts that facilitate the inferential analysis of data collected from a group of individuals participating in a pharmaceutical clinical trial, the estimation of their clinical significance in the general population of individuals likely to be prescribed the drug if approved, and the related decision-making that occurs at both the public health level (by regulatory agencies when deciding whether or not to approve a new drug for marketing) and the individual patient level (by physicians and their patients when deciding whether or not the patient should be prescribed a drug that is on the market). These concepts include drug safety and efficacy, statistical significance, clinical significance, and benefit-risk balance.
β¦ Table of Contents
Front Matter....Pages i-ix
Setting the Scene....Pages 1-10
Analyzing Safety Data....Pages 11-21
Assessing Efficacy Data....Pages 23-32
Confidence Intervals: Additional Commentary....Pages 33-40
Meta-Methodology....Pages 41-49
BenefitβRisk Estimation....Pages 51-58
Back Matter....Pages 59-61
β¦ Subjects
Biomedicine general; Pharmaceutical Sciences/Technology
π SIMILAR VOLUMES
<p>This monograph offers well-founded training and expertise on the statistical analysis of data from clinical vaccine trials, i.e., immunogenicity and vaccine field efficacy studies. The book's scope is practical rather than theoretical. It opens with two introductory chapters on the immunology of
<p>This monograph offers well-founded training and expertise on the statistical analysis of data from clinical vaccine trials, i.e., immunogenicity and vaccine field efficacy studies. The book's scope is practical rather than theoretical. It opens with two introductory chapters on the immunology of
<p><span>Statistical Thinking in Clinical Trials</span><span> combines a relatively small number of key statistical principles and several instructive clinical trials to gently guide the reader through the statistical thinking needed in clinical trials. Randomization is the cornerstone of clinical t