New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
Genetic prediction of common diseases is based on testing multiple genetic variants with weak effect sizes. Standard logistic regression and Cox Proportional Hazard models that assess the combined ...
The genotype main effects and genotype-by-environment interaction effects (GGE) model and the additive main effects and multiplicative interaction (AMMI) model are two common models for analysis of ...
A multiplicative model is proposed for analyzing multifactor experiments which are conducted to study the effect of changes in the levels of the factors on the variance of a chance variable. The model ...
To capture the "long-memory" effect in volatility, a multiplicative component conditional autoregressive range (MCCARR) model is proposed. We show theoretically that the MCCARR model can capture the ...
Clinical utility of expanded screening of the KRAS and NRAS genes for Metastatic Colorectal Cancer: Evaluation of the CRC RAScan tumor test as a companion diagnostic to determine efficacy of anti-EGFR ...
In a test of equivalence, a treatment mean and a reference mean are compared to each other. Equivalence is taken to be the alternative hypothesis, and the null hypothesis is nonequivalence. The model ...
Understanding stock market returns hinges on understanding their volatility. Two simple but competing models have been dominant for decades: the Heston model, introduced in 1993, and the ...
A comparison of two models for stock market prediction shows clear differences in their accuracy, depending on the length of the forecasting period. Understanding stock market returns hinges on ...
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