Skip to Main Content
Exposure-Response Modeling
book

Exposure-Response Modeling

by Jixian Wang
July 2015
Intermediate to advanced content levelIntermediate to advanced
351 pages
10h 2m
English
Chapman and Hall/CRC
Content preview from Exposure-Response Modeling
Dose–exposure and exposure–response models for longitudinal data 55
research has proposed sco re tests for VCs with boundary constraints, but
some require simulations. Practical applications are limited due to difficulties
in implementation in commonly used software.
Now we come back to the test in Section 3.1 where the LR test resulted
in the test statistic χ
2
= 3.33 with 1 d.f. Without considering the boundary
constraint, it is equivalent to a p-value 0.188. However, with the approximate
formula under the constraint, the p-value becomes 0.188/2=0.094.
3.9 Nonparametric and semiparametric models with
random effects
The regression spline approach introduced ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Computational Pharmacokinetics

Computational Pharmacokinetics

Anders Kallen
Deep Learning through Sparse and Low-Rank Modeling

Deep Learning through Sparse and Low-Rank Modeling

Zhangyang Wang, Yun Fu, Thomas S. Huang

Publisher Resources

ISBN: 9781466573215