OBJECTIVES The prevention of falls in the elderly trial (PROFET) provides evidence of the benefits of structured interdisciplinary assessment of older people presenting to the accident and emergency department with a fall. However, the service implications of implementing this effective intervention are significant. This study therefore examined risk factors from PROFET and used these to devise...

To study the impact of falling or risk of falling on quality of life (QOL) outcomes, a survey was mailed to a random sample of 15,000 adults with an AARP® Medicare Supplement plan insured by UnitedHealthcare from 10 states in 2008. Approximately 21% had fallen in the past year; 17% did not fall but reported balance or walking problems (i.e., at high risk of falling); and 62% were in the low-ris...

the main idea of this paper is to study the dependence between the probability of default and the recovery rate on credit portfolio and to seek empirically this relationship. we examine the dependence between pd and rr by theoretical approach. for the empirically methodology, we use the bootstrapped quantile regression and the simultaneous quantile regression. these methods allow to determinate...

Measurements were obtained of several physiological mechanisms which are known to be important in the control of fundamental frequency (F 0). The data were analysed by means of a multiple regression analysis in which F 0 is the criterion and the physiological signals are the predictors. Separate analyses w ere carried out for statements and questions, and for falling and rising F 0. The results...

sainfoin (onobrychis viciifolia scop.) is a perennial forage legume has recognized for its feed value and high stability. this experiment was conducted to investigate the relationship among morphological and agronomic traits using multivariate statistical methods including correlation, regression and factor analysis. twenty one accessions of sainfoin were evaluated in a randomized complete bloc...

Beta Regression, an extension of generalized linear models, can estimate the effect of explanatory variables on data falling within the (0,1) interval. Recent developments in Beta Regression theory extend the support interval to now include 0 and 1. The %Beta_Regression macro is updated to now allow for Zero-One Inflated Beta Regression.