The Kaplan-Meier (KM) method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of the KM results and to discuss some importa...

The Kaplan-Yorke conjecture suggests a simple relationship between the fractal dimension of a system and its Lyapunov spectrum. This relationship has important consequences in the broad field of nonlinear dynamics where dimension and Lyapunov exponents are frequently used descriptors of system dynamics. We develop an experimental system with controllable dimension by making use of the Kaplan-Yo...

PIH64 FamIly PreFerences In tHe Volume Versus outcome Debate: ImPlIcatIons For tHe DelIVery oF comPlex PeDIatrIc care O’Leary G.1, Lockhart A.1, Mullenger R.2, Warren A.2, Hancock Friesen C.2, Levy A.2, Molinari M.2, O’Blenes S.2 1IWK Health Centre, Halifax, NS, Canada, 2Dalhousie University, Halifax, NS, Canada Objectives: A Relationship between volume and outcome for complex medical procedure...

A compact graphical device for combining survival and time-varying covariate information is proposed. The proposed graph contains the Kaplan-Meier estimator for right-censored data and a simultaneous display of the behaviour of time-dependent covariate(s) and the lifetime for each subject in the sample. The observed levels of time-dependent covariates are possibly subjected to an initial dimens...

OBJECTIVES To identify factors that influence the extent to which general practitioners use absolute risk (AR) assessment in cardiovascular disease (CVD) risk assessment. DESIGN, SETTING AND PARTICIPANTS Semi-structured interviews with 25 currently practising GPs from eight Divisions of General Practice in New South Wales, Australia, between October 2011 and May 2012. Data were analysed using...