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...

In this paper, we study convex optimization methods for computing the nuclear (or, trace) norm regularized least squares estimate in multivariate linear regression. The so-called factor estimation and selection (FES) method, recently proposed by Yuan et al. [25], conducts parameter estimation and factor selection simultaneously and have been shown to enjoy nice properties in both large and fini...

Use case size point (USP) method has been proposed to estimate object oriented software development effort in early phase of software project and used in a lot of software organizations. Intuitively, USP is measured by counting the number of actors, preconditions, post conditions, scenarios included in use case models. In this paper have presented a Adaptive fuzzy Neural Network model to estima...

Change-Point Methods (CPMs) are statistical tests design to assess whether a given sequence comes from an unique, stationary, data-generating process. CPMs eventually estimate the change-point location, i.e., the point where the data-generating process shifted. While there exists a large literature concerning CPMs meant for sequences of independent and identically distributed (i.i.d.) random va...

In this article, we use the fuzzy concept to consider the reliability of serial system and the reliability of parallel system. Since the population reliability Rj of the subsystem Pj (j = 1, 2, ..., n) is unknown, if we use the point estimate j R to estimate Rj from the statistical data in the past, we don’t know the probability of the error j R − Rj. Moreover, the reliability of the system may...

We compare the linear rate of convergence estimates for two inexact proximal point methods. The first one is the classical inexact scheme introduced by Rockafellar, for which we obtain a slightly better estimate than the one given in [16]. The second one is the hybrid inexact proximal point approach introduced in [25, 22]. The advantage of the hybrid methods is that they use more constructive a...

We use household survey data to construct a direct measure of absolute risk aversion based on the maximum price a consumer is willing to pay to buy a risky asset. We relate this measure to a set of consumers’ decisions that in theory should vary with attitude towards risk. We ...nd that elicited risk aversion has considerable predictive power for a number of key household decisions such as choi...

OBJECTIVE The aim of this study was to compare screening performance for Down syndrome of the absolute risk (AR) method to the first trimester combined test (FCT) at different maternal ages. METHODS There was a retrospective analysis of 32,448 FCT. AR was defined as final risk divided by maternal age risk. RESULTS The likelihood of receiving a true prediction was comparable between both met...