145 lines
3.3 KiB
R
145 lines
3.3 KiB
R
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## Everything
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dag <- 'dag {
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bb="-4.79,-6.035,4.818,5.504"
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SES [pos="-4.463,-2.925"]
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ad_treat [pos="2.007,-1.567"]
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afli [pos="0.028,-1.851"]
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age [pos="-1.242,-0.765"]
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alc [pos="-3.716,-0.111"]
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ami [pos="-3.137,3.986"]
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civil [pos="-4.099,0.703"]
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diabetes [pos="-3.838,3.579"]
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education [pos="-3.632,-3.678"]
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gen_PA [pos="-2.820,-1.247"]
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hypertension [pos="-4.034,2.468"]
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mrs_0 [pos="-1.746,2.715"]
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mrs_1 [pos="1.326,-0.469"]
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nihss_0 [pos="0.271,1.296"]
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pase_0 [exposure,pos="-0.542,0.173"]
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revasc [pos="0.980,2.332"]
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rtreat [pos="2.334,2.036"]
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sex [pos="-4.538,-0.778"]
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smoker [pos="-1.877,-2.160"]
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stroke [adjusted,pos="0.766,0.321"]
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svd [latent,pos="-2.400,1.493"]
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tci [pos="-2.418,4.467"]
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vasc_event [outcome,pos="3.754,0.358"]
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SES -> ad_treat
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SES -> age
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SES -> alc
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SES -> gen_PA
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SES -> stroke
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SES -> vasc_event
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ad_treat -> vasc_event
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afli -> pase_0
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afli -> stroke
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afli -> vasc_event
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age -> afli
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age -> civil
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age -> mrs_1
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age -> nihss_0
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age -> vasc_event
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alc -> hypertension
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alc -> pase_0
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alc -> stroke
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alc -> svd
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alc -> vasc_event
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ami -> afli
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ami -> mrs_0
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ami -> stroke
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ami -> vasc_event
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civil -> pase_0
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civil -> stroke
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civil -> vasc_event
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diabetes -> mrs_0
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diabetes -> nihss_0
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diabetes -> stroke
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diabetes -> svd
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diabetes -> vasc_event
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education -> SES
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education -> ad_treat
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education -> age
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education -> alc
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education -> gen_PA
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education -> stroke
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education -> vasc_event
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gen_PA -> ami
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gen_PA -> diabetes
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gen_PA -> hypertension
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gen_PA -> pase_0
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gen_PA -> smoker
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gen_PA -> tci
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hypertension -> afli
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hypertension -> mrs_0
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hypertension -> nihss_0
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hypertension -> stroke
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hypertension -> svd
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hypertension -> vasc_event
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mrs_0 -> pase_0
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mrs_0 -> revasc
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mrs_1 -> ad_treat
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mrs_1 -> vasc_event
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nihss_0 -> revasc
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pase_0 -> ad_treat
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pase_0 -> nihss_0
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pase_0 -> stroke
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revasc -> mrs_1
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rtreat -> mrs_1
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rtreat -> vasc_event
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sex -> ad_treat
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sex -> alc
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sex -> education
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sex -> mrs_1
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sex -> pase_0
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sex -> stroke
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sex -> vasc_event
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smoker -> age
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smoker -> mrs_1
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smoker -> vasc_event
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stroke -> mrs_1
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stroke -> nihss_0
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stroke -> rtreat
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stroke -> vasc_event
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svd -> mrs_0
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svd -> pase_0
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svd -> vasc_event
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tci -> mrs_0
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tci -> stroke
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tci -> vasc_event
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}'
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## Simplified
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dag <- 'dag {
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bb="-4.79,-6.035,4.818,5.504"
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"Higher SES" [pos="-1.671,-1.740"]
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"U: higher svd score" [latent,pos="-3.091,2.172"]
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"active treat" [pos="1.914,3.209"]
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"higher PA" [exposure,pos="-0.999,0.555"]
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"lower mrs_0" [pos="-2.437,1.259"]
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ad_treat [pos="-0.448,-0.358"]
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cardio_vasc [pos="-4.202,0.839"]
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male [pos="-3.119,-0.926"]
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vasc_event [outcome,pos="3.754,0.358"]
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"Higher SES" -> "higher PA"
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"Higher SES" -> ad_treat
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"Higher SES" -> vasc_event
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"U: higher svd score" -> "lower mrs_0"
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"U: higher svd score" -> vasc_event
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"active treat" -> vasc_event
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"higher PA" -> ad_treat
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"higher PA" -> vasc_event
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"lower mrs_0" -> "higher PA"
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ad_treat -> vasc_event
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cardio_vasc -> "U: higher svd score"
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cardio_vasc -> "higher PA" [pos="-2.876,-0.185"]
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cardio_vasc -> "lower mrs_0"
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cardio_vasc -> vasc_event [pos="-4.762,5.060"]
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male -> "higher PA"
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male -> vasc_event [pos="-2.540,-5.134"]
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}'
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dag |> ggdag::ggdag_adjustment_set(node_size = 14, text_col = "black") +
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theme(legend.position = "bottom")
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