Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

Medical Decision Making(2022)10.1177/0272989x221121747Source: DataRank Database

A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example is a research paper published in Medical Decision Making (2022). On theSindex it has a DataRank of 0.269. It has been cited 5 times.

N/A

0.269DataRank · unranked

Scored on demand from live citation data

Open Access5 citations

Download PDF

Cite:

Linked data & code

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (19 grants)OA: bronzeTopics (38)Linked Datasets (17)DataCite Reuse (17)IDs (PubMed, PMC)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.269

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.

Learn more about DataRank methodology →

Authors (7)

Eline Krijkamp ORCID,Eva A. Enns ORCID,Alan Yang ORCID,M. G. Myriam Hunink ORCID,Petros Pechlivanoglou ORCID

Live enrichment

PubMed:36112849 PMC:PMC9844995

National Cancer Institute

Grant: U01-CA199335

National Cancer Institute

Grant: U01-CA253913

National Cancer Institute

Grant: U01-CA265729

National Cancer Institute

Grant: U01-CA265750

National Institute of Allergy and Infectious Diseases

Grant: K25AI118476

National Institute on Drug Abuse

Grant: K01DA048985

Gordon and Betty Moore Foundation

Grant: GBMF7853

NCI NIH HHS

Grant: U01 CA253913

NCI NIH HHS

Grant: U01 CA265750

NCI NIH HHS

Grant: U01 CA199335

NCI NIH HHS

Grant: U01 CA265729

National Institutes of Health

Grant: 5U01CA253913-02

Comparative Modeling of Effective Policies for Colorectal Cancer Control

National Institutes of Health

Grant: 1K25AI118476-01

Mathematical modeling and analysis of HIV care trajectories and retention in care challenges

National Institutes of Health

Grant: 5K01DA048985-02

Understanding the Impact of Opioid Policies on the Opioid Epidemic Using Graphical Causal Models and Causal Discovery

National Institutes of Health

Grant: 5U01CA199335-05

Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future Research

National Institutes of Health

Grant: 3U01CA253913-03S1

Comparative Modeling of Effective Policies for Colorectal Cancer Control

National Institutes of Health

Grant: 5U01CA265729-02

Comparative modeling of gastric cancer disparities and prevention in the US and globally

National Institutes of Health

Grant: 5U01CA265750-03

Population Modeling of Bladder Cancer Detection and Control

Society for Medical Decision Making

bronzeLicense: https://journals.sagepub.com/page/policies/text-and-data-mining-license

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/0272989X221121747

publisherhttps://journals.sagepub.com/doi/full-xml/10.1177/0272989X221121747

https://doi.org/10.1177/0272989x221121747

https://dx.doi.org/10.48550/arxiv.2108.13552

https://pubmed.ncbi.nlm.nih.gov/36112849

Fields of Study

03 medical and health sciences0302 clinical medicine0305 other medical science

MeSH Terms

HumansProbabilityMarkov ChainsComputer SimulationCost-Benefit AnalysisCost-Effectiveness Analysis

Keywords

Cost-effectiveness AnalysisTutorialMarkov ModelsTime-dependentR SoftwareCohort State-transition ModelsFOS: Computer and information sciencesJ.3General Economics (econ.GN)J.4Cost-Benefit AnalysisG.397M60 (Primary) 92D30 92B15, 60J10 (Secondary)Statistics - ComputationQuantitative Biology - Quantitative MethodsStatistics - ApplicationsFOS: Economics and businessSDG 3 - Good Health and Well-beingHumansComputer SimulationApplications (stat.AP)G.3; I.6.5; J.3; J.4Computation (stat.CO)Quantitative Methods (q-bio.QM)Economics - General EconomicsProbabilityI.6.5Markov ChainsFOS: Biological sciences

sj-pdf-7-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150921SAGE Journals

sj-docx-5-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150918SAGE Journals

sj-docx-4-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150915SAGE Journals

sj-docx-3-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150912SAGE Journals

sj-docx-2-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150909SAGE Journals

sj-docx-1-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150906SAGE Journals

sj-csv-6-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150903SAGE Journals

A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.c.6203436.v1SAGE Journals

sj-docx-2-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150909.v1SAGE Journals

sj-docx-5-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150918.v1SAGE Journals

sj-csv-6-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150903.v1SAGE Journals

A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.c.6203436SAGE Journals

sj-docx-4-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150915.v1SAGE Journals

sj-docx-3-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150912.v1SAGE Journals

sj-pdf-7-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150921.v1SAGE Journals

sj-docx-1-mdm-10.1177_0272989X221121747 – Supplemental material for A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

10.25384/sage.21150906.v1SAGE Journals

A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example

10.48550/arxiv.2108.13552arXiv