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
A
Appendix
A.1 Basic statistical concepts
This section describes basic statistical concepts used in this book, except for
Bayesian analysis. A statistical analysis starts from data and the model from
which the data are genera ted. In a parametric mode l there are unknown pa-
rameters to be estimated. Often not all parameters are of interest and some
are nuisance parameters. We use the data to estima te the parameters, hence
parameter estimates are functions of the data. A function of data independent
of any unknown parameter is c alled a s tatistic. A parameter estimate
ˆ
θ that
on average equa ls the true value, i.e., E(
ˆ
θ) = θ, is an unbiased estimate. ...
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