The model, equation number used in the present study, number of samples (n), model AIC value, the difference in AIC units (ΔAIC) from the top model in the family, mean squared error (MSE), mean absolute error (MAE), a measure of model efficiency, and parameter estimates (mean ± SE).

NIAID Data Ecosystem2026-05-01 收录

数据链接：

https://figshare.com/articles/dataset/The_model_equation_number_used_in_the_present_study_number_of_samples_n_model_AIC_value_the_difference_in_AIC_units_AIC_from_the_top_model_in_the_family_mean_squared_error_MSE_mean_absolute_error_MAE_a_measure_of_model_efficiency_and_parame/24984926 数据链接链接失效反馈

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资源简介：

The model, equation number used in the present study, number of samples (n), model AIC value, the difference in AIC units (ΔAIC) from the top model in the family, mean squared error (MSE), mean absolute error (MAE), a measure of model efficiency, and parameter estimates (mean ± SE).

创建时间：

2024-01-11

The model, equation number used in the present study, number of samples (n), model AIC value, the difference in AIC units (ΔAIC) from the top model in the family, mean squared error (MSE), mean absolute error (MAE), a measure of model efficiency, and parameter estimates (mean ± SE).

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