-
It would be helpful for interpreting CohortMethod results if there was information available on the number of patients in the target and comparator groups censored for various reasons at various time-…
jmb01 updated
3 months ago
-
The only plot type supporting censored data currently is `ppc_km_overlay` (plus `_grouped`), which plots overlaid Kaplan-Meier plots, which is an excellent idea. Other plots can be useful, too, and we…
-
Here's a good start for single Kaplan-Meier curves:
```r
#' @keywords internal
minmin
-
I am trying to manually annotate a Kaplan-Meier-Plot with vertical significance brackets, and I am failing.
The reasons seems to be the orientation: the following horizontal example works fine, wh…
-
Great project!
Does it support generating cumulative distribution function plots, like in pyplot (e.g. https://matplotlib.org/examples/statistics/histogram_demo_cumulative.html)?
Thanks
yjk21 updated
7 years ago
-
### Expected behavior
Create life-table estimates and Kaplan Meier-estimates
Create time-to-event graph for both life-table and kaplan-meier
### Actual behavior
No life tables
More details [h…
-
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 …
-
I apologize for the inconvenience. I am truly grateful for your assistance and the updated profiles you have provided.
However, while using the codes from `survival_analysis.R` to replicate your re…
-
Is this by design?
The issue appears to be that e.g. KaplanMeierFitter.fit() takes T and E as series rather than a dataframe with column references for T and E (which is how CoxPHFitter seems to wo…
-
A posterior predictive check (PPC) for the Cox model would be nice, but it would probably have to be conducted differently than in all other models since the spline estimate of the baseline hazard mak…