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Minimum reliably detectable effect sizes for hypotheses 1 and 2.

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https://figshare.com/articles/dataset/Minimum_reliably_detectable_effect_sizes_for_hypotheses_1_and_2_/22063873 数据链接链接失效反馈

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Minimum reliably detectable effect sizes for hypotheses 1 and 2.

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创建时间：

2023-02-09

高维统计

统计功效

This is a simulation result of the effectiveness improvement methods for high-dimensional data testing (such as mean testing, linear model testing, and independence testing), including images and tabl

科学数据银行2024-10-17 更新60

Post-hoc power analysis to determine statistical power of the stereological quantifications performed in two previous publications from our laboratory.

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体视学量化

*Effect size, f, was determined using one-way ANOVA to compare multiple groups. #Effect size, d, was determined using Student's t-tests to compare between two groups.

NIAID Data Ecosystem60

Additional file 3: of Gain of power of the general regression model compared to Cochran-Armitage Trend tests: simulation study and application to bipolar disorder

双相情感障碍遗传关联分析

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Appendix S1. and Appendix S2. reported shell and Pearl scripts which included PLINK commands [19]) used to analyze real dataset and to perform all simulations, computation of type I error and power es

NIAID Data Ecosystem50

Appendix D. Power analysis when varying the number of stations sampled per year.

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灾害监测网络优化

Power analysis when varying the number of stations sampled per year.

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SAS PROGRAMS AND DATA SETS

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效应评估

This paper used simulated data to demonstrate that statistical significance is a viable tool for reducing the number of false effect sizes (Pearson's bivariate correlation coefficients) that would oth

Figshare2025-07-30 更新50

Minimum reliably detectable effect sizes for hypotheses 1 and 2.

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