Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data | Paper Citation Record

Observation 60199fde-7eb5-4916-ab85-6a8e7f26e92d · outbound

This paper cites The evidence base of US Food and Drug Administration approvals of novel cancer therapies from 2000 to 2020.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data The evidence base of US Food and Drug Administration approvals of novel cancer therapies from 2000 to 2020

Reference 1

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This paper cites Cancer statistics, 2022.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cancer statistics, 2022

Reference 2

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This paper cites Inﬂuence of ﬁrst-line chemotherapy regimen on survival outcomes of patients with advanced urothelial carcinoma who received second-line immune checkpoint inhibitors.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Inﬂuence of ﬁrst-line chemotherapy regimen on survival outcomes of patients with advanced urothelial carcinoma who received second-line immune checkpoint inhibitors

Reference 3

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This paper cites Cost- Effectiveness of Immune Checkpoint Inhibition in BRAF Wild-Type Advanced Melanoma.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cost- Effectiveness of Immune Checkpoint Inhibition in BRAF Wild-Type Advanced Melanoma

Reference 4

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This paper cites Optimal sequencing strategies in the treatment of EGFR mutation– positive non–small cell lung cancer: Clinical beneﬁts and cost-effectiveness.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Optimal sequencing strategies in the treatment of EGFR mutation– positive non–small cell lung cancer: Clinical beneﬁts and cost-effectiveness

Reference 5

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.801369Z

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Unresolved cited work

Reference 6

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This paper cites Cost-effectiveness analysis of 1st through 3rd line sequential targeted therapy in HER2-positive metastatic breast cancer in the United States.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cost-effectiveness analysis of 1st through 3rd line sequential targeted therapy in HER2-positive metastatic breast cancer in the United States

Reference 7

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.791209Z

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This paper cites A cost-effectiveness analysis of trastuzumab-containing treatment sequences for HER-2 positive metastatic breast cancer patients in Taiwan.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data A cost-effectiveness analysis of trastuzumab-containing treatment sequences for HER-2 positive metastatic breast cancer patients in Taiwan

Reference 8

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.780588Z

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This paper cites Cost-Effectiveness Analysis of Different Sequences of the Use of Epidermal Growth Factor Receptor Inhibitors for Wild-Type KRAS Unresectable Metastatic Colorectal Cancer.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cost-Effectiveness Analysis of Different Sequences of the Use of Epidermal Growth Factor Receptor Inhibitors for Wild-Type KRAS Unresectable Metastatic Colorectal Cancer

Reference 9

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This paper cites State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data State-Transition Modeling: A Report of the ISPOR-SMDM Modeling Good Research Practices Task Force-3

Reference 10

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This paper cites Microsimulation modeling for health decision sciences using R: a tutorial.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Microsimulation modeling for health decision sciences using R: a tutorial

Reference 11

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.764406Z

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This paper cites Cohort versus patient level simulation for the economic evaluation of single versus combination immuno-oncology therapies in metastatic melanoma.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cohort versus patient level simulation for the economic evaluation of single versus combination immuno-oncology therapies in metastatic melanoma

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:34:00.162523Z

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This paper cites A Brief, Global History of Microsimulation Models in Health: Past Applications, Lessons Learned and Future Directions.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data A Brief, Global History of Microsimulation Models in Health: Past Applications, Lessons Learned and Future Directions

Reference 13

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.753315Z

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This paper cites Cost-Effectiveness Analysis for Therapy Sequence in Advanced Cancer: A Microsimulation Approach with Application to Metastatic Prostate Cancer.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cost-Effectiveness Analysis for Therapy Sequence in Advanced Cancer: A Microsimulation Approach with Application to Metastatic Prostate Cancer

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.741180Z

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This paper cites Comparative effectiveness of cisplatin-based and carboplatin-based chemotherapy for treatment of advanced urothelial carcinoma.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Comparative effectiveness of cisplatin-based and carboplatin-based chemotherapy for treatment of advanced urothelial carcinoma

Reference 15

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.729464Z

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This paper cites Comparison of Population Characteristics in Real-World Clinical Oncology Databases in the US: Flatiron Health, SEER, and NPCR.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Comparison of Population Characteristics in Real-World Clinical Oncology Databases in the US: Flatiron Health, SEER, and NPCR

Reference 16

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.718161Z

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This paper cites Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:33:59.708006Z

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This paper cites Tutorial in biostatistics: competing risks and multi- state models.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Tutorial in biostatistics: competing risks and multi- state models

Reference 18

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data mstate: An R Package for the Analysis of Competing Risks and Multi-State Models

Reference 19

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

Reference 20

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Differences in target estimands between different propensity score- based weights

Reference 21

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.676545Z

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This paper cites Propensity score estimation: machine learning and classiﬁcation methods as alternatives to logistic regression.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Propensity score estimation: machine learning and classiﬁcation methods as alternatives to logistic regression

Reference 22

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data A simulation procedure based on copulas to generate clustered multi-state survival data

Reference 23

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.659210Z

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This paper cites Modelling Dependence with Copulas in R | R-bloggers.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Modelling Dependence with Copulas in R | R-bloggers

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:34:00.550712Z

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This paper cites Markov Models and Cost Effectiveness Analysis: Applications in Medical Research.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Markov Models and Cost Effectiveness Analysis: Applications in Medical Research

Reference 25

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.647728Z

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This paper cites Analysis of a Real-World Progression Variable and Related Endpoints for Patients with Five Different Cancer Types.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Analysis of a Real-World Progression Variable and Related Endpoints for Patients with Five Different Cancer Types

Reference 26

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This paper cites Avelumab Maintenance Treatment After First-line Chemotherapy in Advanced Urothelial Carcinoma–A Cost-Effectiveness Analysis.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Avelumab Maintenance Treatment After First-line Chemotherapy in Advanced Urothelial Carcinoma–A Cost-Effectiveness Analysis

Reference 27

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.627754Z

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This paper cites Quality of life in bladder cancer patients receiving medical oncological treatment; a systematic review of the literature.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Quality of life in bladder cancer patients receiving medical oncological treatment; a systematic review of the literature

Reference 28

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correction dated 2020-01-23. Source: crossref record 10.1186/s12955-019-1247-1->10.1186/s12955-018-1077-6:correction, observed 2026-07-11T03:01:30.67789+00:00. This notice travels one citation hop only.

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This paper cites Cost-effectiveness of Pembrolizumab for Patients with Advanced, Unresectable, or Metastatic Urothelial Cancer Ineligible for Cisplatin- based Therapy.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cost-effectiveness of Pembrolizumab for Patients with Advanced, Unresectable, or Metastatic Urothelial Cancer Ineligible for Cisplatin- based Therapy

Reference 29

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Cost-effectiveness of Pembrolizumab in Second-line Advanced Bladder Cancer

Reference 30

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Unresolved cited work

Reference 31

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This paper cites Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Pembrolizumab as Second-Line Therapy for Advanced Urothelial Carcinoma

Reference 32

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This paper cites Accessed November 7, 2024.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Accessed November 7, 2024

Reference 33

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Unresolved cited work

Reference 34

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This paper cites The cost effectiveness of pembrolizumab versus chemotherapy or atezolizumab as second-line therapy for advanced urothelial carcinoma in the United States.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data The cost effectiveness of pembrolizumab versus chemotherapy or atezolizumab as second-line therapy for advanced urothelial carcinoma in the United States

Reference 35

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This paper cites Using Electronic Health Records to Identify Adverse Drug Events in Ambulatory Care: A Systematic Review.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Using Electronic Health Records to Identify Adverse Drug Events in Ambulatory Care: A Systematic Review

Reference 36

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This paper cites Automated Identiﬁcation of Patients With Immune-Related Adverse Events From Clinical Notes Using Word Embedding and Machine Learning.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Automated Identiﬁcation of Patients With Immune-Related Adverse Events From Clinical Notes Using Word Embedding and Machine Learning

Reference 37

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.543195Z

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This paper cites Dealing with Time in Health Economic Evaluation: Methodological Issues and Recommendations for Practice.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Dealing with Time in Health Economic Evaluation: Methodological Issues and Recommendations for Practice

Reference 38

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.531819Z

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This paper cites A Proportional Hazards Model for the Subdistribution of a Competing Risk.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data A Proportional Hazards Model for the Subdistribution of a Competing Risk

Reference 39

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This paper cites Fine-Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 1.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Fine-Gray subdistribution hazard models to simultaneously estimate the absolute risk of different event types: Cumulative total failure probability may exceed 1

Reference 40

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.521394Z

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Bayesian, and Non-Bayesian, Cause-Speciﬁc Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC

Reference 41

Resolution: verified exact; doi, observed 2026-08-11T13:33:59.509216Z

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

Observation 2956726b-8c5b-4b52-b08f-5a87a566d880 · outbound

This paper cites Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer

Reference 42

Resolution: verified exact; raw_fallback, observed 2026-08-11T13:33:59.905115Z

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Modeling therapy sequence for advanced cancer: A microsimulation approach leveraging Electronic Health Record data Unresolved cited work

Reference 1026

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

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