Herein, we propose a Spearman rank correlation-based screening procedure for ultrahigh-dimensional data with censored response cases. The proposed method is model-free without specifying any regression forms of predictors or variables and robust under the unknown monotone transformations these variable predictors. sure-screening rank-consistency properties are established some mild regularity c...

INTRODUCTION Rheumatoid arthritis (RA) is associated with hypogalactosylation of immunoglobulin G (IgG). We examined whether a proxy measure for galactosylation of IgG N-glycans could predict response to therapy or was differentially affected by methotrexate (MTX) or TNF blockade. METHODS Using a previously defined normal phase high-performance liquid chromatography approach, we ascertained t...

OBJECTIVE To assess the reliability and validity of the Dutch version of the exercise self-efficacy scale (ESES) in persons with spinal cord injury. This is the first independent study of ESES psychometric properties, and the first report on ESES test-retest reliability. SUBJECTS/PATIENTS A total of 53 Dutch persons with spinal cord injury. METHODS Subjects completed the Dutch ESES twice, w...

The objective of the present study was to utilise an accurate canine pedometer methodology and to assess the relationship between activity and body condition score (BCS) in dogs. Initial methodology validation used videography and pedometer step measurements to assess actual steps taken in comparison with pedometer readings for twenty large, medium and small dogs. During the validation, dogs co...

In this article we describe a new Hermite series based sequential estimator for the Spearman rank correlation coefficient and provide algorithms applicable in both stationary non-stationary settings. To treat setting, introduce novel, exponentially weighted correlation, which allows local nonparametric of bivariate data stream to be tracked. best our knowledge is first algorithm proposed estima...

Given a set V of n objects, an online ranking system outputs at each time step a full ranking of the set, observes a feedback of some form and suffers a loss. We study the setting in which the (adversarial) feedback is an element in V , and the loss is the position (0th, 1st, 2nd...) of the item in the outputted ranking. More generally, we study a setting in which the feedback is a subset U of ...

Nonparametric correlation estimators as the Kendall and Spearman correlation are widely used in the applied sciences. They are often said to be robust, in the sense of being resistant to outlying observations. In this paper we formally study their robustness by means of their influence functions and gross-error sensitivities. Since robustness of an estimator often comes at the price of an incre...