The models for rates, probabilities, or means
created with functions mod_pois(), mod_binom(),
and mod_norm() can be extended by adding data models,
also referred to as measurement error models.
Data models can be applied to the outcome variable,
the exposure variable (in Poisson models), or the
size variable (in binomial models).
Details
Data models for outcome variable
| Function | Assumptions about data | pois | binom | norm |
set_datamod_outcome_rr3() | Outcome randomly rounded to base 3 | Yes | Yes | No |
Data models for exposure or size variable
None implemented yet