Debiased Machine Learning for Partially Linear Accelerated Failure Time Models | Paper Citation Record

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models 2002 , edition =

Reference 1

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Unresolved cited work

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Unresolved cited work

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This paper cites Lancet , volume=.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Lancet , volume=

Reference 4

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This paper cites and Aroda, Vanita R.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Aroda, Vanita R

Reference 5

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.748528Z

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Observation 744c53f3-8138-47a0-8a1f-08f71fae5c0a · outbound

This paper cites Ann Intern Med , volume=.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Ann Intern Med , volume=

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.811163Z

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This paper cites and Aleppo, Grazia and Aroda, Vanita R.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Aleppo, Grazia and Aroda, Vanita R

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.815101Z

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This paper cites New England Journal of Medicine , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models New England Journal of Medicine , volume =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.819376Z

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Observation 7b887947-47fb-4462-885e-2271045a08d8 · outbound

This paper cites Reaven and Franklin J.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Reaven and Franklin J

Reference 9

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This paper cites The Lancet , year=.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models The Lancet , year=

Reference 10

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Observation 91c8226e-a29d-45d8-8c72-c398dfd4b646 · outbound

This paper cites Xu and Kevin T.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Xu and Kevin T

Reference 13

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Observation 9665b4e7-1b47-4086-ba25-81a933b689b7 · outbound

This paper cites Diabetes Spectrum , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Spectrum , volume =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.844476Z

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Observation 684baf0d-7799-4e16-9e88-3855600ceb2e · outbound

This paper cites and Close, Kelly L.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Close, Kelly L

Reference 15

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Observation 429b72ee-563d-468c-a460-ae961d0bbd0a · outbound

This paper cites Journal of Diabetes Science and Technology , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Journal of Diabetes Science and Technology , author =

Reference 16

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.703201Z

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Observation 52500af1-b00a-4e75-baad-d72990bbeebe · outbound

This paper cites doi:10.18637/jss.v045.i03 , journal =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models doi:10.18637/jss.v045.i03 , journal =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.857456Z

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Observation 0e1c7764-a722-4a4d-87f5-336ec2ddf384 · outbound

This paper cites Clinical Diabetes , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Clinical Diabetes , volume =

Reference 19

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.657981Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd1d9585-5ea1-4a66-b463-e70b69345537 · outbound

This paper cites Diabetes Care , year=.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Care , year=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.869301Z

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This paper cites Diabetes Care , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Care , volume =

Reference 21

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.641276Z

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Observation bf6bfa12-bd6a-43f3-843b-4b83cf9e5dbb · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Unresolved cited work

Reference 22

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Observation 37b3893f-dc1a-4751-810b-e41216467974 · outbound

This paper cites Diabetes Technology & Therapeutics , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Technology & Therapeutics , author =

Reference 23

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Observation 0b2f7707-da63-446c-a5cc-d54a4327d997 · outbound

This paper cites , title =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models , title =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.885177Z

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Observation 91e16298-ed69-43d5-9571-edce2321584a · outbound

This paper cites New England Journal of Medicine , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models New England Journal of Medicine , volume =

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.888716Z

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This paper cites and Ahmann, Andrew and Shah, Viral N.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Ahmann, Andrew and Shah, Viral N

Reference 26

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Observation c5cf0935-95cb-45b8-94df-cfe6be1c3a99 · outbound

This paper cites Diabetologia , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetologia , volume =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.896496Z

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This paper cites The Journal of Clinical Endocrinology & Metabolism , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models The Journal of Clinical Endocrinology & Metabolism , volume =

Reference 28

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.625973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Parker, Melissa M

Reference 29

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Observation 810c37e4-39cc-4942-a0f4-a1fa62fbe763 · outbound

This paper cites Science Advances , volume =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Science Advances , volume =

Reference 31

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Lee, Katherine E

Reference 32

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.526940Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 251bdf18-1a3a-4643-82cb-e323e9f1b1d5 · outbound

This paper cites and Zozulińska-Ziółkiewicz, Dorota A.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Zozulińska-Ziółkiewicz, Dorota A

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.923182Z

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Observation ef701a37-8a4a-48b4-93cd-cc3d7e65a7e2 · outbound

This paper cites Endocrine , year =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Endocrine , year =

Reference 35

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.160146Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e1f53c5a-3af6-4022-8c1a-66524e3591b7 · outbound

This paper cites 2020 , month =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models 2020 , month =

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.931444Z

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This paper cites Diabetologia , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetologia , author =

Reference 37

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.144853Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation daeab997-b986-4b26-b2f1-db51ca02a89d · outbound

This paper cites Diabetes Care , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Care , author =

Reference 38

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.129944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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This paper cites Diabetes Care , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Care , author =

Reference 40

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.115047Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3f4f8f3-6663-4eb3-9b34-92841c6277ff · outbound

This paper cites Diabetes Technology & Therapeutics , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Technology & Therapeutics , author =

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.951786Z

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models BMJ , author =

Reference 45

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.066225Z

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This paper cites International Journal of Endocrinology , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models International Journal of Endocrinology , author =

Reference 47

Resolution: verified exact; doi, observed 2026-08-12T00:58:47.033599Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7f7897e-55fd-4d32-867d-2bb08da0e3a4 · outbound

This paper cites Diabetes Technology & Therapeutics , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetes Technology & Therapeutics , author =

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:12.979163Z

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Healthcare , author =

Reference 53

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.893603Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 857123e7-cf59-452b-bb6d-6dc914c6d226 · outbound

This paper cites Clinical Nutrition , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Clinical Nutrition , author =

Reference 54

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.777314Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3c0a7f4c-a612-4836-8c47-730209711295 · outbound

This paper cites Diabetologia , author =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Diabetologia , author =

Reference 55

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.759981Z

Source-reported events for the cited work

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Biometrika , author =

Reference 56

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.741559Z

Source-reported events for the cited work

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Observation 09a958ca-3a9a-4da1-bc40-8f1934dff388 · outbound

This paper cites and Collett, D.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Collett, D

Reference 57

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.723892Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b47cd08-d107-4343-b136-3141d0d63d74 · outbound

This paper cites and Eshraghian, M.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Eshraghian, M

Reference 58

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Probability and Statistics: The Harald Cram

Reference 59

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Miller , journal =

Reference 60

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Large Sample Theory of a Modified Buckley-James Estimator for Regression Analysis with Censored Data , urldate =

Reference 61

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Observation d7b4b4b2-b06d-4d4c-a0ea-65c180afa4ae · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Asymptotic Normality of the `Synthetic Data' Regression Estimator for Censored Survival Data , urldate =

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.033443Z

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Observation 5e87e140-5683-4dfb-97de-111c35ab0df3 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Stute and J.-L

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.037233Z

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Observation 78bc74f5-7183-4b3f-929e-143805c4286e · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Distributional Convergence under Random Censorship When Covariables Are Present , urldate =

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.041355Z

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Observation 52b93da1-cbf4-4d28-a38b-fda057678b69 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Robins and Andrea Rotnitzky and Lue Ping Zhao , journal =

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.045402Z

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Observation 69846915-f6dd-4da8-a7cc-f6a692200544 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Asymptotic normality of a class of adaptive statistics with applications to synthetic data methods for censored regression , url =

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.049280Z

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Observation 85de0190-2d33-440c-92ed-895f2c61e96d · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Unresolved cited work

Reference 67

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.707782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3504c85-1a8b-4cf4-a9e9-c186bd62ee58 · outbound

This paper cites Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules , urldate =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Greedy Outcome Weighted Tree Learning of Optimal Personalized Treatment Rules , urldate =

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.057241Z

Source-reported events for the cited work

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Observation 9e86ede6-24f9-4db9-a8d3-b417b6fcae20 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models van der Laan and James M

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.061279Z

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Observation 7e9d8711-ae19-4057-9abe-78887d24a8d8 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Tsiatis , journal =

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.070000Z

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Observation bdbb3714-86ef-4d9a-bb65-bdae3a6c1e42 · outbound

This paper cites Tsiatis , title =.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Tsiatis , title =

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.073624Z

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Observation 41afea0d-9788-4a00-a836-5cbbb495f31f · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Dudoit, Sandrine and Van der Laan, Mark J

Reference 73

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.691043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1dec7819-31a7-4d00-a56a-700ddcf3fe94 · outbound

This paper cites Vock and Julian Wolfson and Sunayan Bandyopadhyay and Gediminas Adomavicius and Paul E.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Vock and Julian Wolfson and Sunayan Bandyopadhyay and Gediminas Adomavicius and Paul E

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.081233Z

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Observation 62f66566-3786-479b-aed7-4efefe3afd72 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Empirical likelihood methods based on influence functionsT1 , journal =

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-12T00:57:13.085018Z

Source-reported events for the cited work

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Observation 015b076b-7e83-431a-a211-803500a2cb5b · outbound

This paper cites an unresolved cited work.

Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Unresolved cited work

Reference 76

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.662371Z

Source-reported events for the cited work

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Observation 047f7e6e-552e-4bc3-b8d5-36dc2ee9740c · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models and Jan Beyersmann and Liis Starkopf and Sandra Frank and van der Laan , Mark J

Reference 77

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Regression with Censored Data , urldate =

Reference 78

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models A class of estimators of the parameters in linear regression with censored data , volume =

Reference 79

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Linear Regression with Censored Data , urldate =

Reference 80

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Reference 81

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Ritov , journal =

Reference 82

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Asymptotic normality of the ``synthetic data'' regression estimator for censored survival data , url =

Reference 83

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models A Missing Information Principle and M-Estimators in Regression Analysis with Censored and Truncated Data , urldate =

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Observation c6f99be0-5605-41bf-aba7-8a5b4c7f5e3e · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Empirical Likelihood for Censored Linear Regression , urldate =

Reference 85

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models EMPIRICAL LIKELIHOOD REGRESSION ANALYSIS FOR RIGHT CENSORED DATA , urldate =

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Censored regression: local linear approximations and their applications , url =

Reference 87

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models , title = "

Reference 88

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models , title =

Reference 89

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models , title =

Reference 90

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Journal of Statistical Software , author =

Reference 92

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models 2010 , pages =

Reference 93

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Biometrika , author =

Reference 94

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Reference 96

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models , title =

Reference 97

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Functional

Reference 98

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Biometrics , author =

Reference 99

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models The Annals of Statistics , author =

Reference 100

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Observation b2c33d4d-9795-40c3-bf70-518e42ee0139 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Journal of the Royal Statistical Society

Reference 101

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Inference for

Reference 102

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Journal of Multivariate Analysis , author =

Reference 103

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Unresolved cited work

Reference 104

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Observation cd0109fd-2a9a-4c54-99a9-cbb430dfa996 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Functional

Reference 105

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Generalized Multivariate Functional Additive Mixed Models for Location, Scale, and Shape

Reference 106

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Functional

Reference 107

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Biostatistics , author =

Reference 109

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Observation d53dcffe-00bf-40c2-9728-4b275a7b636e · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Statistics in Medicine , author =

Reference 110

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.227444Z

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Observation c1e73e75-7c81-4e39-a075-d64378cc4a13 · outbound

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Reference 111

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Statistics in Medicine , author =

Reference 112

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Biometrics , author =

Reference 113

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.201946Z

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Observation 906555fa-e496-4e8c-9b59-afa33841f582 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models BMC Medical Research Methodology , author =

Reference 114

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Biometrika , author =

Reference 115

Resolution: verified exact; doi, observed 2026-08-12T00:58:46.172594Z

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Observation 58d420df-f5fb-424b-bd96-25519190bd36 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models PubMed , author =

Reference 116

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Efficiently analyzing large patient registries with Bayesian joint models for longitudinal and time-to-event data

Reference 117

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Observation 5b750c59-d552-4faa-b62d-2360e7e95197 · outbound

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Debiased Machine Learning for Partially Linear Accelerated Failure Time Models Journal of Applied Statistics , author =

Reference 118

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