Interval censored (IC) failure time data are often observed in medical follow-up studies and clinical trials where subjects can only be followed periodically, and the failure time can only be known to lie in an interval. In this paper, we propose a weightedWilcoxontype rank test for the problem of comparing two IC samples. Under a very general sampling technique developed by Fay (1999), the mea...

METHODS: A retrospective chart review was performed of patients with facial palsy who received either CFNG-FGMT or LTM from 2008–2016 at a single institution. Analysis of the normal and affected sides of the face, in repose and while smiling, in preand post-operative photographs was performed by using the Facial Assessment by Computer Evaluation (FACE-gram) software.1 Commissure displacement wa...

Suday, M arch 6, 2017 operative performance data from the Operative Entrustability Assessment (OEA), a validated assessment tool that provides residents with real-time feedback about their operative performance and documents that performance at point-of-care. Independent PGY1, PGY2, and PGY3 were categorized as PGY4, PGY5, and PGY6, respectively. We analyzed OEA evaluator scores for the two gro...

Non-parametric tests that deal with two samples include scores tests (such as the Wilcoxon rank sum test, normal scores test, log istic scores test, Cauchy scores test, etc.) and Fisher’s randomization test. B ecause the non-parametric tests generally require a large amount of computational work, there are few studies on small-sample properties, although asymptotic properties with regard to var...

Forty five women and 10 men with coeliac disease diagnosed in adult life, who were already on a gluten free diet, had serial bone mineral density measurements at the lumbar spine and femoral neck over 12 months. Osteoporosis, defined as a bone mineral density (BMD) < or = 2 SD below the normal peak bone mass was found in 50% of male and 47% of female coeliac patients. Patients with a BMD < or =...

The nonparametric Wilcoxon–Mann–Whitney test is commonly used by experimental economists for detecting differences in central tendency between two samples. This test is only theoretically appropriate under certain assumptions concerning the population distributions from which the samples are drawn, and is often used in cases where it is unclear whether these assumptions hold, and even when they...