lmtp

lmtp copied to clipboard

Adds competing risks functionality to the package ala "Causal survival analysis under competing risks using longitudinal modified treatment policies". Credit to @kathoffman .

nt-williams

updated sl3 version to handle competing risks

1

Added a new parameter `comp_risk` to `lmtp_*` estimators. This is a longitudinal indicator variable similar to `outcome` in time to event settings. The indicator affects the at-risk subset of data...

kathoffman

``` LMTP Estimator: SDR Trt. Policy: (policy) Population intervention estimate Estimate: 507.7538 Std. error: 4.8903 95% CI: (498.169, 517.3386) Additive effect Observed: ... Effect: ... Std. error: ... 95% CI:...

nt-williams

Shift machine learning backend to mlr3?

3

nt-williams

**Describe the issue** Error messages arising when using the "id" option in lmtp_tmle(). **reprex** ``` library(lmtp) # Start with documentation example set.seed(56) n

joshua-nugent

Provide better feedback when there's an intervention type error

1

Capture this error message and indicate setting `intervention_type = "mtp"` will likely fix it. ``` Error in glm.fit(x = c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...

nt-williams

Food for thought. As pointed out by @idiazst, the current arguments `shift` and `shifted` aren't generalizable to the full array of treatment effects *lmtp* is capable of estimating, and might...

nt-williams

Common error accumulation

2

Common errors/issues that aren't explicitly checked for should now be listed here: - user calls `make_learner()` instead of `make_learner_stack()` with multiple learners. - Factor levels in shift function don't respect...

nt-williams

Helper to turn survival data into the proper format

1

The required data structure is difficult to figure out. Needs helper function to get into proper format.

nt-williams

A current barrier to use is the required data format. A formulaic interface similar to what already exists in R may help. However, the current data structure exists to guarantee...

nt-williams