Comments (1)
Please let me know which specific functions you are running.
As far as the variables above are involved, it appears that these are the output of survNPMSM
Here are the relevant variables defined in the source code:
https://github.com/osofr/stremr/blob/e6cd51cea0531883cd195ed61f6f72b93b45528b/R/main_estimation.R#L842
Sum of the weighted outcomes (Y multiplied by propensity score cumulative weight), by time-point
https://github.com/osofr/stremr/blob/e6cd51cea0531883cd195ed61f6f72b93b45528b/R/main_estimation.R#L846
Sum of the cumulative propensity scores, by time-point.
The rest of the definitions of the variables can be found similarly, by browsing the function. Briefly, ht
is the IPW-hazard, by time-point, St.IPTW
is the IPW estimator obtained from that hazard, ht.KM
is the Kaplan-Meier hazard.
from stremr.
Related Issues (20)
- add option for isotonic regression on cumulative risks estimates over time
- Add option for observation weights HOT 2
- Return a warning when g^*=NA
- IPW for Categorical Exposure with 4 levels HOT 1
- Defining counterfactual dynamic treatment nodes with multiple dummy exposure HOT 4
- Better docs of the function output
- option : return_wts = TRUE dose not work for survNPMSM and only return results when used in directIPW HOT 5
- sequential randomization HOT 3
- using stremr without monitoring HOT 7
- Fit treatment propensity based only on initial time point HOT 8
- stratifyQ_by_rule HOT 2
- package dependencies
- Problem with CVTMLE
- Time dependent propensity models HOT 3
- ID cannot be a factor, all character variables will be ignored
- inconsistency between doc and implementation for getIPWeights
- getIPWeights - need to add a check that user has specified PS model for all nodes on which we intervene
- bug in defineMONITORvars
- older version of stremr and new version of sl3 are not compatible
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from stremr.