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klpn/amplt.jl

Last active November 6, 2016 13:34
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Calculate lifetime cancer risk in Sweden (using data from Statstics Sweden and National Board of Health and Welfare), built on the method defined by Sasieni et. al, (doi:10.1038/bjc.2011.250).
Raw
amplt.jl
using LifeTable, DataFrames
function AmpLt(inframe, sex, rate = "inc")
age = inframe[1]
pop = inframe[2]
acd = inframe[3]
cd = inframe[4]
cc = inframe[5]
if rate == "inc"
ncol = cc
dcol = acd .- cd .+ cc
elseif rate == "mort"
ncol = cd
dcol = acd
end
df = DataFrame(age = age, pop = pop, dcol = dcol)
cprop = ncol ./ dcol
lt = PeriodLifeTable(df, sex)
return CauseLife(lt, cprop)
end
Raw
fse14.csv
age pop acd cd cc
0 284203.5 125 5 64
5 282010.5 24 9 26
10 259758 15 2 41
15 252815.5 46 5 52
20 322598 77 11 125
25 326973.5 87 21 243
30 299041.5 114 36 392
35 297083 114 41 657
40 320812.5 233 118 1055
45 327841.5 401 185 1637
50 312030.5 613 329 1767
55 287827.5 941 536 2340
60 280823.5 1506 830 3179
65 300502.5 2688 1376 4682
70 252674 3328 1550 4572
75 181861.5 4332 1601 3442
80 139668.5 6829 1729 3084
85 169057.5 24149 2759 3612
Raw
mse14.csv
age pop acd cd cc
0 300984 177 12 75
5 298355.5 17 6 41
10 274276.5 22 9 33
15 272038.5 85 11 64
20 341390.5 224 17 150
25 342110.5 226 13 185
30 315183 262 27 226
35 309386 229 45 312
40 330216.5 363 79 435
45 338742 614 147 682
50 321224 900 269 1302
55 291923.5 1382 495 2216
60 279481 2299 874 3997
65 293532 3963 1573 6401
70 242539 4826 1917 5976
75 158417.5 5782 2040 4800
80 103383 7238 2058 3545
85 88420 14831 2602 3145
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