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Counterfactual Phenotyping with Censored Time-to-Events

Counterfactual Phenotyping with Censored Time-to-Events

22 February 2022
Chirag Nagpal
Mononito Goswami
K. Dufendach
A. Dubrawski
    CML
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Papers citing "Counterfactual Phenotyping with Censored Time-to-Events"

11 / 11 papers shown
Title
Identifying treatment response subgroups in observational time-to-event data
Identifying treatment response subgroups in observational time-to-event data
Vincent Jeanselme
Chang Ho Yoon
Fabian Falck
Brian D. M. Tom
Jessica Barrett
OOD
CML
45
0
0
06 Aug 2024
Variational Deep Survival Machines: Survival Regression with Censored
  Outcomes
Variational Deep Survival Machines: Survival Regression with Censored Outcomes
Qinxin Wang
Jiayuan Huang
Junhui Li
Jiaming Liu
DRL
CML
16
0
0
24 Apr 2024
Maximum Likelihood Estimation of Flexible Survival Densities with
  Importance Sampling
Maximum Likelihood Estimation of Flexible Survival Densities with Importance Sampling
Mert Ketenci
Shreyas Bhave
Noémie Elhadad
A. Perotte
27
0
0
03 Nov 2023
Deep Learning for Survival Analysis: A Review
Deep Learning for Survival Analysis: A Review
S. Wiegrebe
Philipp Kopper
R. Sonabend
Bernd Bischl
Andreas Bender
21
64
0
24 May 2023
Neural Fine-Gray: Monotonic neural networks for competing risks
Neural Fine-Gray: Monotonic neural networks for competing risks
Vincent Jeanselme
Changwon Yoon
Brian D. M. Tom
Jessica Barrett
16
7
0
11 May 2023
Modeling Events and Interactions through Temporal Processes -- A Survey
Modeling Events and Interactions through Temporal Processes -- A Survey
Angelica Liguori
Luciano Caroprese
Marco Minici
Bruno Veloso
Francesco Spinnato
M. Nanni
Giuseppe Manco
João Gama
AI4TS
20
2
0
10 Mar 2023
Recovering Sparse and Interpretable Subgroups with Heterogeneous
  Treatment Effects with Censored Time-to-Event Outcomes
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes
Chirag Nagpal
Vedant Sanil
A. Dubrawski
CML
28
1
0
24 Feb 2023
BENK: The Beran Estimator with Neural Kernels for Estimating the
  Heterogeneous Treatment Effect
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
Stanislav R. Kirpichenko
Lev V. Utkin
A. Konstantinov
CML
21
0
0
19 Nov 2022
auton-survival: an Open-Source Package for Regression, Counterfactual
  Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
Chirag Nagpal
Willa Potosnak
A. Dubrawski
CML
OOD
38
21
0
15 Apr 2022
Deep Cox Mixtures for Survival Regression
Deep Cox Mixtures for Survival Regression
Chirag Nagpal
Steve Yadlowsky
Negar Rostamzadeh
Katherine A. Heller
CML
42
59
0
16 Jan 2021
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
115
1,231
0
02 Jun 2016
1