Comparing Post-Concussive Neurocognitive Test Data to Normative Data Presents Risks for Under-Classifying "Above Average" Athletes

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Comparing post-concussive neurocognitive test data to normative data presents risks for under-classifying "above average" athletes.

We compared classification accuracy of post-concussion test data against baseline and normative data, accounting for baseline level of performance. Athletes (N = 250) completed baseline and post-concussion ImPACT assessments, within 7 days of concussion (verified by sports medicine professionals and self-reported symptoms). Athletes were classified as "below average," "average," or "above avera...

متن کامل

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

15 صفحه اول

Post-exertion neurocognitive test failure among student-athletes following concussion.

OBJECTIVE The purpose of the present study was to examine post-exertion (PE) neurocognitive performance among student-athletes following concussion who were asymptomatic and returned to baseline normal neurocognitive test levels at rest. This study examined the neurocognitive performance of a sub-set of student-athletes who 'failed' to perform at baseline levels of neurocognitive function, i.e....

متن کامل

Classifying Skewed Data: Importance Weighting to Optimize Average Recall

Promoted in part by its use in the Interspeech Challenges in 2009-2012, Average Recall has emerged as an attractive evaluation measure of classifier performance where the data has a skewed class distribution. In this paper, we show that importance weighting can be used to optimize Average Recall directly. We compare this approach to sampling techniques that have been previously used to classify...

متن کامل

A Randomness Test for Stable Data

In this paper, we propose a new method for checking randomness of non-Gaussian stable data based on a characterization result. This method is more sensitive with respect to non-random data compared to the well-known non-parametric randomness tests.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Archives of Clinical Neuropsychology

سال: 2014

ISSN: 0887-6177,1873-5843

DOI: 10.1093/arclin/acu041