Designing image segmentation studies: Statistical power, sample size and reference standard quality

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

Designing image segmentation studies: Statistical power, sample size and reference standard quality

Segmentation algorithms are typically evaluated by comparison to an accepted reference standard. The cost of generating accurate reference standards for medical image segmentation can be substantial. Since the study cost and the likelihood of detecting a clinically meaningful difference in accuracy both depend on the size and on the quality of the study reference standard, balancing these trade...

متن کامل

Sample Size and Statistical Power Calculation in Genetic Association Studies

A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases. Genome-wide association studies require much larger sample sizes to achieve an adequate statistical power. We estimated the statistical power with increasing numbers of markers analyzed and compared the sample sizes that were required in cas...

متن کامل

Sample size estimation and statistical power analyses

The concept of sample size and statistical power estimation is now something that Optometrists that want to perform research, whether it be in practice or in an academic institution, cannot simply hide away from. Ethics committees, journal editors and grant awarding bodies are now increasingly requesting that all research be backed up with sample size and statistical power estimation in order t...

متن کامل

Power and sample size calculations for designing rare variant sequenc - ing association studies

Recently, Wu et al. [4] have proposed the sequence kernel machine test (SKAT) to test association between genetic variants in a gene or region and a continuous or binary trait. SKAT, which uses the kernel machine regression framework, is very flexible and computationally efficient. From extensive simulation studies and real data application, it has been shown that SKAT is more powerful than the...

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: Medical Image Analysis

سال: 2017

ISSN: 1361-8415

DOI: 10.1016/j.media.2017.07.004