We present the study protocol of the Sino Longitudinal Study on Cognitive Decline (SILCODE), a longitudinal observational study focusing on SCD in the context of AD. Methods and analysis Within ...

Combined transcriptome and ctDNA longitudinal analysis associates with pembrolizumab outcomes. ... Bar plot showing the association of VIGex and QualTek TIL score. (E) Bar plot showing the association ...

AbstractThe debate over daylight saving time (DST) has surged, with interests in the effects of sunlight exposure on health. Prior studies simulated DST and standard time conditions by analyzing ...

Bar plot meadows are very common in scientific publications and unfortunately also ineffective in communicating the results. Data from: Matand et al., 2020, BMC Plant Biology. Bar plot meadows are ...

Li et al. extended the quantile regression model with a change point, introduced by Li et al. , to accommodate longitudinal data. These models ignore the within-subject dependence of longitudinal data ...

Keywords: R, omics analysis, statistical method, ASCA, longitudinal data analysis, multivariate analysis. Citation: Jarmund AH, Madssen TS and Giskeødegård GF (2022) ALASCA: An R package for ...

Each patient has 4 plots, with an increasing number of root measurements. On the left part of each plot, ... Random-effects models for longitudinal data. Biometrics. 1982;38:963–974. doi: ...

Racing bar charts can be a useful way to visualize comparative data over time. There are a number of ways to create them in R, including combining ggplot with gganimate or using echarts4r.But the ...

Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.