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Hypothesis Testing-For Every Learner
假设检验（Hypothesis Testing）——面向全体学习者
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创建时间：
2022-03-07
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Appendix D. Results of hypothesis testing:tables of F statistics, P values, and additional analyses described in the text.
Results of hypothesis testing:tables of F statistics, P values, and additional analyses described in the text.
DataCite Commons2025-05-01 更新150
A Proposed Hybrid Effect Size Plus p -Value Criterion: Empirical Evidence Supporting its Use
When the editors of Basic and Applied Social Psychology effectively banned the use of null hypothesis significance testing (NHST) from articles published in their journal, it set off a fire-storm of d
DataCite Commons2024-06-28 更新100
Too Good to be False: Nonsignificant Results Revisited
A project on P-value distributions, and how these can be used to estimate effects even when individual p-values are non-significant. All files are pulled from the Github repository and updated on the
osf.io2017-01-18 更新70
A Sparse Random Projection-based Test for Overall Qualitative Treatment Effects
In contrast to the classical “one size fits all” approach, precision medicine proposes the customization of individualized treatment regimes to account for patients’ heterogeneity in response to treat
DataCite Commons2024-02-12 更新140
Supplement 1. R code demonstrating how to fit a logistic regression model, with a random intercept term, and how to use resampling-based hypothesis testing for inference.
File List glmmeg.R: R code demonstrating how to fit a logistic regression model, with a random intercept term, to randomly generated overdispersed binomial data. boot.glmm.R: R code for estimating
DataCite Commons2025-06-01 更新90
