Juan Quiroz Aguilera

Deep Cox Mixtures Competing Risks

1

Is there any implementation of Deep Cox Mixtures that supports competing risks?

Adds a dropout parameter for adding dropout layers to the representation layers.

The DeepCoxMixtures is missing the predict_risk method. Most other classes (I haven't fully checked) have a predict_risk method.

test_pbc_dataset and test_framingham_dataset unit tests are wrongly indented

1

test_pbc_dataset and test_framingham_dataset unit tests are wrongly indented, so they fail to execute when running pytest. Fixing the indentation allows all 3 unit tests to run. https://github.com/autonlab/auton-survival/blob/b9946a46b01f2478a4e6cf405265f3ac0b7c1bb5/tests/test_dsm.py#L39-L84

Instantiating DeepRecurrentSurvivalMachines object without parameters does not raise errors/warnings, but it breaks when calling fit. This is currently valid: ```python model = DeepRecurrentSurvivalMachines() ```` But breaks when calling fit: ```python...

Some basic validation should be performed on the input, i.e. checking for NaN or proper datatype. For example, a nan value in the time (event duration) array generates an obscure...

Add grammar rules for the (1) different syntax for parenthesis and square brackets, and (2) to ignore text styles in equations.

Clarify which metrics expect output of survival function vs output of cumulative hazard function

1

I am unsure which metrics provided in the library (concordance_index_*, integrated_brier_score, cumulative_dynamic_auc) expect the output of the survival function vs the output of the cumulative hazard function. I have read...

Changing the line color indicating statistical significance

6

Great package! Where in the code should I look if I want to modify the plotting so that I can change the color of a line when the corresponding row...

Allow for no adjustment of p-values

3

Current adjustment options are holm and bonferroni. API should support no adjustment.