Why significant variables aren’t automatically good predictors
نویسندگان
چکیده
منابع مشابه
Why significant variables aren't automatically good predictors.
Thus far, genome-wide association studies (GWAS) have been disappointing in the inability of investigators to use the results of identified, statistically significant variants in complex diseases to make predictions useful for personalized medicine. Why are significant variables not leading to good prediction of outcomes? We point out that this problem is prevalent in simple as well as complex ...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2015
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.1518285112