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.
Details
Function | Assumptions about measurement error | Poisson | Binomial | Normal |
set_datamod_miscount() | Reported outcome has undercount and overcount | Yes | No | No |
set_datamod_undercount() | Reported outcome has undercount | Yes | Yes | No |
set_datamod_overcount() | Reported outcome has overcount | Yes | No | No |
set_datamod_noise() | Reported outcome unbiased, but with positive and negative measurement errors | Yes* | No | Yes |
set_datamod_exposure() | Reported exposure unbiased, but with positive and negative measurement errors | Yes* | No | No |
*Models with no dispersion term for rates.