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Multiple regression predicting VIP tests using stepwise criteria (n = 101).

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数据链接：

https://figshare.com/articles/dataset/Multiple_regression_predicting_VIP_tests_using_stepwise_criteria_n_101_/9945638 数据链接链接失效反馈

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资源简介：

Multiple regression predicting VIP tests using stepwise criteria (n = 101).

应用场景：

创建时间：

2019-10-07

视觉诱发电位

脑机接口

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) with high transfer rate have demonstrated great promise for practical applications. Existing researches have impleme

Figshare2024-09-05 更新90

Self-shapingness and past investment as predictors of fusion (outcome) in a linear regression.

心理变量预测

回归建模

Self-shapingness and past investment as predictors of fusion (outcome) in a linear regression.

NIAID Data Ecosystem70

Regression results for pre-torpor food consumption.

动物休眠生理

回归建模

Linear model of pre-torpor food consumption for each animal in the experiment shown in Fig 4. This table contains the regression result and the underlying dataset. (XLSX)

NIAID Data Ecosystem40

Summary statistics from linear models with biomarkers.

生物标志物关联分析

回归建模

Summary statistics for linear regression main model with fat, diet and biomarkers phenotypes as outcomes, adjusted for age, age^2, sex, race and PC1-10. The phenotypes are orders based on p-value. PC–

NIAID Data Ecosystem70

Multi-frequency steady-state visual evoked potential dataset in the augmented reality environment using a portable stimulation device (epoch data)

视觉诱发电位

脑机接口

Figshare2024-09-05 更新70