Effect Size Estimation in Neuroimaging
نویسندگان
چکیده
منابع مشابه
Effect Size Estimation in Neuroimaging
A central goal of translational neuroimaging is to establish robust links between brain measures and clinical outcomes. Success hinges on the development of brain biomarkers with large effect sizes. With large enough effects, a measure may be diagnostic of outcomes at the individual patient level. Surprisingly, however, standard brain-mapping analyses are not designed to estimate or optimize th...
متن کاملSample size estimation in epidemiologic studies
This review basically provided a conceptual framework for sample size calculation in epidemiologic studies with various designs and outcomes. The formula requirement of sample size was drawn based on statistical principles for both descriptive and comparative studies. The required sample size was estimated and presented graphically with different effect sizes and power of statistical test at 95...
متن کاملContrasts and correlations in effect-size estimation.
This article describes procedures for presenting standardized measures of effect size when contrasts are used to ask focused questions of data. The simplest contrasts consist of comparisons of two samples (e.g., based on the independent t statistic). Useful effect-size indices in this situation are members of the g family (e.g., Hedges's g and Cohen's d) and the Pearson r. We review expressions...
متن کاملEffect of Phantom Size and Tube Voltage on the Size-Conversion Factor for Patient Dose Estimation in Computed Tomography Examinations
Introduction: This study aimed to establish the conversion factors to normalize the output dose of volumetric computed tomography dose index (CTDIvol) to the patient dose (i.e. size-specific dose estimate (SSDE)) for various phantom diameters and tube voltages. Material and Methods: In-house cylindrical acrylic phantoms with physical diameter...
متن کاملStandardized Effect Size Estimation: Why and How?
Statisticians have long opined that researchers generally need to present estimates of the sizes of the effects which they report. It is not sufficient to report whether or not an effect is “statistically significant.” Statistical significance only tells you that the obtained sample results would be highly unlikely were the tested (aka “null”) hypothesis absolutely true. The tested hypothesis i...
متن کاملذخیره 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: JAMA Psychiatry
سال: 2017
ISSN: 2168-622X
DOI: 10.1001/jamapsychiatry.2016.3356