eBook - PDF
Exposure-Response Modeling
Methods and Practical Implementation
Jixian Wang
This is a test
- 351 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Exposure-Response Modeling
Methods and Practical Implementation
Jixian Wang
Book details
Table of contents
Citations
About This Book
Discover the Latest Statistical Approaches for Modeling Exposure-Response RelationshipsWritten by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in exposure-response modeling, from traditional pharmacokinetic-pharmacody
Frequently asked questions
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Exposure-Response Modeling by Jixian Wang in PDF and/or ePUB format, as well as other popular books in Matemáticas & Probabilidad y estadística. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Contents
- Symbol Description
- Preface
- Chapter 1: Introduction
- Chapter 2: Basic exposure and exposure–response models
- Chapter 3: Dose–exposure and exposure–response models for longitudinal data
- Chapter 4: Sequential and simultaneous exposure–response modeling
- Chapter 5: Exposure–risk modeling for time-to-event data
- Chapter 6: Modeling dynamic exposure–response relationships
- Chapter 7: Bayesian modeling and model–based decision analysis
- Chapter 8: Confounding bias and causal inference inexposure–response modeling
- Chapter 9: Dose–response relationship, dose determination, and adjustment
- Chapter 10: Implementation using software
- A: Appendix
- Bibliography
- Back Cover