title: Graphics and statistics for cardiology: survival analysis.
abstract: Reports of data in the medical literature frequently lack information needed to assess the validity and generalisability of study results. Some recommendations and standards for reporting have been developed over the last two decades, but few are available specifically for survival data. We provide recommendations for tabular and graphical representations of survival data. We argue that data and analytic software should be made available to promote reproducible research.
authors.affiliation: Department of Biostatistics, University of Washington, Seattle, Washington, USA.
authors.forename: Susanne
authors.initials: S
authors.lastname: May
authors.affiliation: Department of Biostatistics, University of Washington, Seattle, Washington, USA.
authors.forename: Barbara
authors.initials: B
authors.lastname: McKnight
mesh_terms: D001296:Audiovisual Aids; D002309:Cardiology / Q000379:methods / Q000706:statistics & numerical data*; D003625:Data Collection / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D018450:Disease Progression; D018572:Disease-Free Survival; D006331:Heart Diseases / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D006760:Hospitalization; D006801:Humans; D053208:Kaplan-Meier Estimate; D015233:Models, Statistical; D015203:Reproducibility of Results; D012107:Research Design / Q000706:statistics & numerical data*; D018570:Risk Assessment; D012307:Risk Factors; D012984:Software; D013997:Time Factors