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Welcome to the agebp wiki!

Below is a description of the analysis of this data set (with corresponding scripts):

1. For each study, completed outlier analysis (SVoutliers.R and DNDoutliers.R).

   • Within each ROI, removed outliers using function outlierCut.R.
   • Determined which outliers were below white matter mean. This step was removed during revision 1/25/19

2. Run the clean and combine script (combine_clean.R) to combine two data sets, add full names of Hammers ROIs, and Study variable.

3. For each study, examine neuropsych data (SVneuropsych.R and DNDneuropsych.R) and create Table 1.

4. Examine average BPND by Study and ROI (ageBPdescriptive.R) to create Table 2.

5. Analyze linear and quadratic fits (ageBPanalysis.R) and create Tables 3-8.

6. Create shiny app (server.R and ui.R)

7. Exploratory analyses between BPND, affect, and cognition (ageBPavineuro.R). This analysis removed during revision.

8. Illustrate linear and quadratic effects of age on select regions (ageBPgraph.R) to create Figure 1.

9. Calculate percent difference per decade in BPND by ROI (ageBPpercDiffDecade.R) to create Figure 2.

10. Compare age effects controlling for study and not controlling for study (ageBPstudycompare.R) to address reviewer comments.