CohortMethod
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OHDSI
An R package for performing new-user cohort studies in an observational database in the OMOP Common Data Model.
Provide option to compute balance for a limited set of covariates only at the outcome level
Currently, likelihood profiles in CohortMethod use a named vector. This should be changed to a data frame for consistency with other HADES packages.
So it can be used as a formal diagnostic
See https://github.com/OHDSI/Cyclops/issues/57
Distriburted Research Network does not gather the whole statistical attributes, so a researcher cannot know if there was important violation of proportional hazard assumption, which may lead to wrong and...
Log file shows "2024-03-15 13:44:50 [Main thread] FATAL tibble Can't assign rows with `toCensor`. x Subscript `toCensor` can't contain missing values. x It has missing values at locations 1, 2,...
Similar to [SCCS](https://ohdsi.github.io/SelfControlledCaseSeries/articles/ResultsSchema.html)
Currently, CohortMethod::createPs() checks whether any of the covariates are highly correlated with the treatment. It is a very useful feature as whenever such a correlation is found, I think propensity...
Currently negative controls are not included in the diagnostics summary table, but should be to enable https://github.com/OHDSI/EvidenceSynthesisModule/issues/15
Currently, when fitting the PS model and when high correlation is detected and stopOnError = FALSE, the PS model will simply be empty and no effect estimates will be produced....