age_df

<p>This data set is used to observe life span age trend of brain structures.</p>

datasets

Provides a comprehensive framework for batch effect diagnostics, harmonization, and post-harmonization downstream analysis. Features include interactive visualization tools, robust statistical tests, and a range of harmonization techniques. Additionally, 'ComBatFamQC' enables the creation of life-span age trend plots with estimated age-adjusted centiles and facilitates the generation of covariate-corrected residuals for analytical purposes. Methods for harmonization are based on approaches described in Johnson et al., (2007) <doi:10.1093/biostatistics/kxj037>, Beer et al., (2020) <doi:10.1016/j.neuroimage.2020.117129>, Pomponio et al., (2020) <doi:10.1016/j.neuroimage.2019.116450>, and Chen et al., (2021) <doi:10.1002/hbm.25688>.

Zheng Ren

ComBatFamQC

Comprehensive Batch Effect Diagnostics and Harmonization

Andrew Chen

Elizabeth Horwath

age_df function

<p><code>"age_df"</code> is a simulated data frame with 712 cases (rows) and 56 variables
(columns). 51 rois are included.</p>

age_df: Age Trajectory Data

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Examples