Statistical Issues in Drug Development 3rd Edition Stephen S. Senn- Ebook Instant Download/Delivery ISBN(s): 9781119238591,9781119238607,9781119238577,1119238595,1119238609,1119238579
Product details:
- ISBN 10:1119238595
- ISBN 13: 9781119238591
- Author: Stephen S. Senn
The revised third edition of Statistical Issues in Drug Development delivers an insightful treatment of the intersection between statistics and the life sciences. The book offers readers new discussions of crucial topics, including cluster randomization, historical controls, responder analysis, studies in children, post-hoc tests, estimands, publication bias, the replication crisis, and many more.
This work presents the major statistical issues in drug development in a way that is accessible and comprehensible to life scientists working in the field, and takes pains not to gloss over significant disagreements in the field of statistics, while encouraging communication between the statistical and life sciences disciplines.
Table contents:
1 Introduction
2 A Brief and Superficial History of Statistics for Drug Developers
3 Design and Interpretation of Clinical Trials as Seen by a Statistician
4 Probability, Bayes, P‐values, Tests of Hypotheses and Confidence Intervals
5 The Work of the Pharmaceutical Statistician
6 Allocating Treatments to Patients in Clinical Trials
7 Baselines and Covariate Information
8 The Measurement of Treatment Effects
9 Demographic Subgroups :
10 Multiplicity
11 Intention‐to‐Treat, Missing Data and Related Matters
12 One‐Sided and Two‐Sided Tests and Other Issues to Do with Significance and P‐values
13 Determining the Sample Size
14 Multicentre Trials
15 Active Control Equivalence Studies
16 Meta‐Analysis
17 Cross‐Over Trials
18 n‐of‐1 Trials
19 Sequential and Flexible Trials
20 Dose‐Finding
21 Concerning Pharmacokinetics and Pharmacodynamics
22 Bioequivalence Studies
23 Safety Data, Harms, Drug Monitoring and Pharmaco‐Epidemiology
24 Pharmaco‐economics and Portfolio Management
25 Concerning Pharmacogenetics, Pharmacogenomics and Personalized Medicine
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