Paul Zivich
Paul Zivich
Alternative to `IterativeCondGFormula` approach (different parameter being estimated). The R package DTRreg already does this as noted in #27 Syntax would be similar to the iterative-conditional g-formula. Has both a...
Baseline-fixed treatment. Would be similar in input data as `SurvivalGFormula`. Should be easy to adapt `GEstimationSNM` but with an AFT for the parameter space. There also exists a closed form...
https://www.researchgate.net/publication/287250321_A_Bayesian_approach_to_the_g-formula Most likely made a new class. Valid for both time-fixed and longitudinal
Like forest plots, there zEpid should calculate the summary measure of multiple studies into a single summary estimate (and add that estimate to the bottom of the plot). This would...
Following AJPH 2016, add support for continuous treatments. Can verify against the simulated data (and R's results) Looks like it might be a valuable time to add stochastic treatments. This...
IPMW handles only monotone missing data (only a single variable with missing data). This is fine but data missing for multiple variable simultaneously is more common in practice. There has...
For all the basic summary measures, it might be useful to include a ``stratify`` option. Default would be ``None``. If specified with a variable, it would calculate the summary measure...
[bottleneck](https://pypi.org/project/Bottleneck/) is a pandas dependency. Might be useful to consider a speed up for TimeVaryGFormula without having to add Cython to dependencies
Similar to the resources in #55 it would be nice to have both potential options for IPMW implemented (this is the framework that something like AIPMW would use anyways). For...