Longitudinal data analysis is an essential statistical approach for studying phenomena observed repeatedly over time, allowing researchers to explore both within-subject and between-subject variations ...

Motivated by quantifying the monotonic relationship between gray matter (GM) volume and age in the older population, this study proposes a constrained nonparametric estimation and statistical ...

Causal mediation analysis seeks to investigate how the treatment effect of an exposure on outcomes is mediated through intermediate variables. Although many applications involve longitudinal data, the ...

Analysis of Roche KAPA Target Enrichment kit experimental data obtained on an Illumina sequencing system is most frequently performed using a variety of publicly available, open-source analysis tools.

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...