Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement | Paper Citation Record

Observation 7fd4f201-1f90-4596-9cd6-8db4f0b7b952 · outbound

This paper cites Large language models are few-shot clinical information extractors.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Large language models are few-shot clinical information extractors

Reference 1

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This paper cites Using large language models to simulate multiple humans and replicate human subject studies.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Using large language models to simulate multiple humans and replicate human subject studies

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.291849Z

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This paper cites Zero-shot causal graph extrapolation from text via LLMs.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Zero-shot causal graph extrapolation from text via LLMs

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.277826Z

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This paper cites Out of one, many: Using language models to simulate human samples.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Out of one, many: Using language models to simulate human samples

Reference 4

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This paper cites Auerbach, Sunil Kripalani, Eduard E.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Auerbach, Sunil Kripalani, Eduard E

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:28:07.543048Z

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This paper cites Discrete Event System Simulation.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Discrete Event System Simulation

Reference 6

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This paper cites Start with the end: Early hospital discharge planning as a day-one priority.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Start with the end: Early hospital discharge planning as a day-one priority

Reference 7

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Observation 57e58e52-2935-45b1-b136-0cfe6bd843d8 · outbound

This paper cites Language models are few-shot learners.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Language models are few-shot learners

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.220548Z

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Observation a8131322-efdd-4bda-84f3-1351f8f87afa · outbound

This paper cites The clinical effectiveness and cost-effectiveness of clinical nurse specialist-led hospital to home transitional care: a systematic review: CNS -led transitional care.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement The clinical effectiveness and cost-effectiveness of clinical nurse specialist-led hospital to home transitional care: a systematic review: CNS -led transitional care

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.204982Z

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This paper cites What is lean healthcare.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement What is lean healthcare

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.189906Z

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This paper cites High agreement but low kappa: II.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement High agreement but low kappa: II

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.175124Z

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This paper cites Making sense of sensitivity: Extending omitted variable bias.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Making sense of sensitivity: Extending omitted variable bias

Reference 12

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This paper cites The Gantt chart: A working tool of management.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement The Gantt chart: A working tool of management

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.159971Z

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This paper cites Classen, Roger Resar, Frances Griffin, Frank Federico, Terri Frankel, Nancy Kimmel, John C.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Classen, Roger Resar, Frances Griffin, Frank Federico, Terri Frankel, Nancy Kimmel, John C

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:28:07.419615Z

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Observation 5d6d151c-6072-4e07-8b32-3a4f2413750e · outbound

This paper cites End-to-end causal effect estimation from unstructured natural language data.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement End-to-end causal effect estimation from unstructured natural language data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.144906Z

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Observation 629cacc7-4772-4f37-abbb-3ccff632a934 · outbound

This paper cites Lean in healthcare: A comprehensive review.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Lean in healthcare: A comprehensive review

Reference 16

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This paper cites Graphical models for marked point processes based on local independence: Graphical models for marked point processes.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Graphical models for marked point processes based on local independence: Graphical models for marked point processes

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.115064Z

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This paper cites High agreement but low kappa: I.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement High agreement but low kappa: I

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.100405Z

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Observation 0cdb51d8-d348-4388-a31c-7ffda551a3fa · outbound

This paper cites Causal cartographer: From mapping to reasoning over counterfactual worlds.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Causal cartographer: From mapping to reasoning over counterfactual worlds

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.085646Z

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Observation 81110b1f-2f2c-4fc9-a755-8a5dbf35aa36 · outbound

This paper cites Comparing hospital length of stay risk-adjustment models in US value-based physician payments.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Comparing hospital length of stay risk-adjustment models in US value-based physician payments

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.071032Z

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This paper cites Queueing analysis in healthcare.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Queueing analysis in healthcare

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.055931Z

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This paper cites Griffin and Roger K.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Griffin and Roger K

Reference 22

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This paper cites Confounder selection via iterative graph expansion.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Confounder selection via iterative graph expansion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.027338Z

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This paper cites Computing inter-rater reliability and its variance in the presence of high agreement.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Computing inter-rater reliability and its variance in the presence of high agreement

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:08.010986Z

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This paper cites Answering the call for a standard reliability measure for coding data.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Answering the call for a standard reliability measure for coding data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.995376Z

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This paper cites TabLLM : Few-shot classification of tabular data with large language models.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement TabLLM : Few-shot classification of tabular data with large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.980202Z

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This paper cites Borthne, and P l Gulbrandsen.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Borthne, and P l Gulbrandsen

Reference 27

Resolution: verified exact; doi, observed 2026-08-15T14:28:07.113871Z

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This paper cites Accuracy of a generative artificial intelligence model in a complex diagnostic challenge.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Accuracy of a generative artificial intelligence model in a complex diagnostic challenge

Reference 28

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Observation 0a1fbc42-51a3-4951-b2af-a95ba5ac3eef · outbound

This paper cites Sequential change-point detection in high-dimensional gaussian graphical models.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Sequential change-point detection in high-dimensional gaussian graphical models

Reference 29

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Observation bfb2e522-e9b1-443f-b6f5-dad7411cfa20 · outbound

This paper cites When the domain expert has no time and the LLM developer has no clinical expertise: Real-world lessons from LLM co-design in a safety-net hospital.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement When the domain expert has no time and the LLM developer has no clinical expertise: Real-world lessons from LLM co-design in a safety-net hospital

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.947592Z

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Observation 934f6144-ffde-4629-8d1c-8f3880a50931 · outbound

This paper cites Causal reasoning and large language models: Opening a new frontier for causality.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Causal reasoning and large language models: Opening a new frontier for causality

Reference 31

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This paper cites Machine-learning-based hospital discharge predictions can support multidisciplinary rounds and decrease hospital length-of-stay.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Machine-learning-based hospital discharge predictions can support multidisciplinary rounds and decrease hospital length-of-stay

Reference 32

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This paper cites National inpatient hospital costs: the most expensive conditions by payer, 2022.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement National inpatient hospital costs: the most expensive conditions by payer, 2022

Reference 33

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This paper cites Discovery of the hidden world with large language models.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Discovery of the hidden world with large language models

Reference 34

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Observation 8791f1a6-1dc6-4c2a-8b51-907b82a30f11 · outbound

This paper cites Large language models and causal inference in collaboration: A comprehensive survey.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Large language models and causal inference in collaboration: A comprehensive survey

Reference 35

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Observation 6194f3fa-0db9-4ade-a549-868ad1ddcf5c · outbound

This paper cites Markov equivalence of marginalized local independence graphs.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Markov equivalence of marginalized local independence graphs

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.869647Z

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Observation 436a4ac0-2ed9-49a1-a2eb-5d4dafd5c4ad · outbound

This paper cites Buck, Alireza Daneshkhah, J.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Buck, Alireza Daneshkhah, J

Reference 37

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Observation 1fe73160-111b-4b9a-b97f-dc6cca68ba69 · outbound

This paper cites Causal diagrams for empirical research.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Causal diagrams for empirical research

Reference 38

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This paper cites Petersen, Kristin E.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Petersen, Kristin E

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T14:28:06.912613Z

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This paper cites A guide to the project management body of knowledge (pmbok guide).

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement A guide to the project management body of knowledge (pmbok guide)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.828844Z

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This paper cites Richardson and James M.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Richardson and James M

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 845eca45-ad83-423d-bb0c-0ab8d3982e3d · outbound

This paper cites A new approach to causal inference in mortality studies with a sustained exposure period---application to control of the healthy worker survivor effect.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement A new approach to causal inference in mortality studies with a sustained exposure period---application to control of the healthy worker survivor effect

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.795265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 41bd9e22-9d51-4b8b-81cc-55572547cdee · outbound

This paper cites Impact and experiences of delayed discharge: A mixed-studies systematic review.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Impact and experiences of delayed discharge: A mixed-studies systematic review

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.779305Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c24719dd-07c9-4edc-a764-6011de1c0cc7 · outbound

This paper cites Learning to See: Value Stream Mapping to Add Value and Eliminate Muda.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Learning to See: Value Stream Mapping to Add Value and Eliminate Muda

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.765023Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2d086a5-ba91-4261-9c14-1e63fcee76b1 · outbound

This paper cites Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.750810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15604c8a-9cfc-44c5-adc9-cd12fd12e4d8 · outbound

This paper cites Randomization analysis of experimental data: The fisher randomization test comment.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Randomization analysis of experimental data: The fisher randomization test comment

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T14:28:06.944117Z

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This paper cites Fundamentals of queueing theory.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Fundamentals of queueing theory

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.727063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6a48534-17ca-4dd7-a3ad-89f26d59ef0a · outbound

This paper cites a rli, Aakanksha Chowdhery, Philip Mansfield, Dina Demner-Fushman, Blaise Ag \.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement a rli, Aakanksha Chowdhery, Philip Mansfield, Dina Demner-Fushman, Blaise Ag \

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T14:28:06.952698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7fcc2ec-c302-4121-a1eb-7823deff233e · outbound

This paper cites Predictors of all-cause thirty-day readmissions in patients with heart failure at an urban safety net hospital: The importance of social determinants of health.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Predictors of all-cause thirty-day readmissions in patients with heart failure at an urban safety net hospital: The importance of social determinants of health

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.703977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8638326b-dc27-458a-8176-e43b8423a05b · outbound

This paper cites Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with LLMs.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Bridging the gulf of envisioning: Cognitive challenges in prompt based interactions with LLMs

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.690227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b7a1980-cf14-45d6-9ccf-fbbff1fa501e · outbound

This paper cites Task Ambiguity in Humans and Language Models.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Task Ambiguity in Humans and Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T14:28:06.965812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dcd82c2-3b6a-45c5-a71f-04d9eed200af · outbound

This paper cites Hospital discharge delays 'cost NHS £100m'.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Hospital discharge delays 'cost NHS £100m'

Reference 52

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:28:07.261129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c924802-a631-44e2-bd78-b93eca8e8912 · outbound

This paper cites Principles of confounder selection.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Principles of confounder selection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.675997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2076c21e-ca2d-4636-848d-24b96d8e57d4 · outbound

This paper cites Applying value stream mapping to improve the delivery of patient care in the oncology day hospital.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Applying value stream mapping to improve the delivery of patient care in the oncology day hospital

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.661584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a6e32e4-3000-4b41-8f97-09bca342f099 · outbound

This paper cites From fuzzy to formal: Scaling hospital quality improvement with AI.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement From fuzzy to formal: Scaling hospital quality improvement with AI

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.647245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8315bc2a-1aa4-4d34-b3c2-c24e51934037 · outbound

This paper cites Time after time: Deep- Q effect estimation for interventions on when and what to do.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Time after time: Deep- Q effect estimation for interventions on when and what to do

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.632522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4b9d49d-9b2d-4c52-9b3e-3c09f0ef7b67 · outbound

This paper cites Effectiveness of discharge planning and transitional care interventions in reducing hospital readmissions for the elderly.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Effectiveness of discharge planning and transitional care interventions in reducing hospital readmissions for the elderly

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.617854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b39c4fbe-1cc9-4e32-8d0f-443fef968d95 · outbound

This paper cites Invited commentary: positivity in practice.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Invited commentary: positivity in practice

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.602975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e917284f-dab9-44d4-b043-d2233b7e7cc8 · outbound

This paper cites Gantt charts: A centenary appreciation.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Gantt charts: A centenary appreciation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.587436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7988eedd-8322-4b7d-bb87-8fcd0abbb4f6 · outbound

This paper cites APLUS : A python library for usefulness simulations of machine learning models in healthcare.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement APLUS : A python library for usefulness simulations of machine learning models in healthcare

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.573408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29f4cab8-4448-4a23-aa23-3e70e4ed0b96 · outbound

This paper cites The method of path coefficients.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement The method of path coefficients

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:28:07.559277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5efbe366-5ec3-45cc-9d73-2817402d6fd3 · outbound

This paper cites Riccelli, Steven McGaughey, Jack Marshall, Kenneth DeVane, Skyler Kieran, and Beech Burns.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Riccelli, Steven McGaughey, Jack Marshall, Kenneth DeVane, Skyler Kieran, and Beech Burns

Reference 62

Resolution: verified exact; doi, observed 2026-08-15T14:28:07.071516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 110b43b6-5829-4fd5-a8d9-5155482f2183 · outbound

This paper cites Gensheimer, Daniel L.

Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement Gensheimer, Daniel L

Reference 63

Resolution: verified exact; doi, observed 2026-08-15T14:28:07.055449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Reference resolution

Outbound references

Pith citing papers