A multilevel hierarchical framework for quantification of experimental heterogeneity in population snapshot data (opens in new tab)

Author summary In the design of personalised and targeted drugs and therapeutics it is essential to quatify the variability in the response of cellular processes involved in drug uptake. In practice, the experimental instruments and protocols used to collect cell population data for the study of such cellular processes are complex. As a result, it is important for statistical analyses that use these data to correctly account for variability between experiments in addition to the variability o...