Define relationship between parameters and covariates
Expression property is a character vector
or cell array of character vectors, where each character vector represents
the relationship between a parameter and one or more covariates. The
denotes fixed effects with the prefix
random effects with the prefix
Each expression must be in the form:
This example of an expression defines the relationship between
a parameter (
volume) and a covariate (
with fixed effects, but no random effects:
This table illustrates expression formats for some common parameter-covariate relationships.
|Parameter-Covariate Relationship||Expression Format|
|Linear with random effect|
|Exponential without random effect|
|Exponential, WEIGHT centered by mean, has random effect|
|Exponential, log(WEIGHT), which is equivalent to power model|
|Exponential, dependent on WEIGHT and AGE, has random effect|
|Inverse of probit, dependent on WEIGHT and AGE, has random effect|
|Inverse of logit, dependent on WEIGHT and AGE, has random effect|
To simultaneously fit data from multiple dose levels, use a
Expression property must meet the following
The expressions are valid MATLAB® code.
Each expression is linear with a transformation.
There is exactly one expression for each parameter.
In each expression, a covariate is used in at most one term.
In each expression, there is at most one random effect
Fixed effect (
theta) and random
eta) names are unique within and across
expressions. That is, each covariate has its own fixed effect.
|Applies to||Object: |
|Data type||Character vector or cell array of character vectors|