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Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models

Statistics in Medicine(2020)10.1002/sim.8757Source: DataRank Database

Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models is a research paper published in Statistics in Medicine (2020). On theSindex it has a DataRank of 0. It has been cited 3 times.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: bronzeTopics (35)Linked Datasets (6)DataCite Reuse (6)IDs (PubMed)

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Interoperable (2/2)

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Authors (9)

Maja Pohar Perme ORCID,Hans C. van Houwelingen ORCID,Richard J Cook ORCID,Pierre Joly ORCID,Torben Martinussen ORCID

Live enrichment

PubMed:33043497

Canadian Institutes of Health Research

Grant: PJT‐148946

Javna Agencija za Raziskovalno Dejavnost RS

Grant: P3‐0154

Natural Sciences and Engineering Research Council of Canada

Grant: 228203

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

bronzeLicense: Wiley Online Library User Agreement

BRONZEhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.8757

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.8757

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8757

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/sim.8757

repositoryhttps://arxiv.org/pdf/2005.13271

Fields of Study

MathematicsComputer ScienceMedicine01 natural sciences03 medical and health sciences0302 clinical medicine0101 mathematics

Keywords

FOS: Computer and information sciencesMedicine (General)ScienceSocial SciencesSTRATOS initiativeApplications of statistics to biology and medical sciences; meta analysissurvival analysisMethodology (stat.ME)censoringBiasHealth SciencesCox regression modelHumansCox regression mode, survival analysis, multistate modelImmortal time biasStatistics - MethodologyProportional Hazards Modelstime‐dependent covariatesCoxov regresijski model, analiza preživetja, večdržavni modelpredictionmultistate modelStatistics and Numeric Datatime-dependent covariatesinfo:eu-repo/classification/udc/61; 311Public HealthMathematicsSoftwarehazard function

Additional file 1 of Predictors of frequent emergency department visits among hospitalized cancer patients: a comparative cohort study using integrated clinical and administrative data to improve care delivery

10.6084/m9.figshare.26612147.v1figshare

10.6084/m9.figshare.26612147figshare

Additional file 1 of Analysis of traumatic event emergency department visits among care home residents aged 65 + years in Southern Jutland, Denmark: implications for comprehensive care and subsequent hospital admissions - a register-based cohort study

10.6084/m9.figshare.26726711.v1figshare

10.6084/m9.figshare.26726711figshare

Additional file 2 of Analysis of traumatic event emergency department visits among care home residents aged 65 + years in Southern Jutland, Denmark: implications for comprehensive care and subsequent hospital admissions - a register-based cohort study

10.6084/m9.figshare.26726714.v1figshare

10.6084/m9.figshare.26726714figshare