Last updated: 2023-04-21

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Introduction

Cumulative incidence plot

Version Author Date
e753aa8 Your Name 2023-04-20

All age plots

– Because we are using all individuals, Event time (age in years) is on the X axis, because time since enrollment would treat the 12 years from 50-62 as 70-82. – First we do for all and stratify by PRS category

Now we stratify by PCE category, again for all

Now we plot cumulative incidence by age of enrollment

Age cat specific plots

Here we break into three age groups and stratify by PRS, asking about resolution by PRS:

<55

55-65

>65

Here we do the same for PCE:age normalized percentile

  • here we standardize PCE distribution within each age to ~N(0,1)
  • we look at bottom 20%, mid 20%, and top 20%
  • I also do the same for nominal 10 year category with caveat that 10 year risk category is a low number in young folks

<55

55-65

>65

Age specific with PCE category

<55

55-65

65 +

HEre are the age percentiles of PCE risk:

        0%  10%  20%   30%   40%   50%   60%   70%   80%   90%  100%
<55   1.00 1.00 1.00  1.22  1.60  2.08  2.73  3.69  5.12  7.47 53.31
55-65 1.00 2.71 3.63  4.54  5.56  6.85  8.55 10.79 13.56 17.63 79.05
65+   2.19 7.21 8.71 10.14 11.81 13.93 16.64 19.71 23.18 28.00 74.77

age of event by prs.rank

Version Author Date
86fbc12 Your Name 2023-04-21
e753aa8 Your Name 2023-04-20 

R version 4.2.1 (2022-06-23)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur ... 10.16

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] gridExtra_2.3   survminer_0.4.9 ggpubr_0.4.0    dplyr_1.0.10   
[5] ggplot2_3.4.1   survival_3.4-0 

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