stats_glm_logit

Implements target trial emulation methods to apply randomized
clinical trial design and analysis in an observational setting. Using
marginal structural models, it can estimate intention-to-treat and
per-protocol effects in emulated trials using electronic health
records. A description and application of the method can be found in
Danaei et al (2013) <doi:10.1177/0962280211403603>.

Isaac Gravestock

TrialEmulation

Causal Analysis of Observational Time-to-Event Data

Li Su

Roonak Rezvani

Julia Moesch

Medical Research Council (MRC) 

F. Hoffmann-La Roche AG 

stats_glm_logit function

<dl><dt>save_path</dt>
<dd>Directory to save models. Set to <code>NA</code> if models should not be saved.</dd></dl>

Arguments

Fit outcome models using stats::glm — stats_glm_logit

<dl>

<dt>save_path</dt>
<dd>Directory to save models. Set to <code>NA</code> if models should not be saved.</dd>

</dl>

stats_glm_logit: Fit outcome models using `stats::glm`

Description

Usage

Value

Arguments

Details

See Also

Examples