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added obesity and asthma as covariates with t1_resp score as outcome

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Tanushree Tunstall 2020-11-23 18:31:19 +00:00
parent 9158866dda
commit 7529549bfc
1 changed files with 8 additions and 6 deletions
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14
logistic_regression.R
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@ -261,23 +261,25 @@ for(i in my_reg_params_meds1) {
cat("=================================================================================\n") cat("=================================================================================\n")
} }
#----------------------------- #-----------------------------
# outcome: death # outcome: t1_resp_recoded ~ obesity + asthma
# data: fp adults # data: fp adults
#----------------------------- #-----------------------------
my_reg_params_meds1v2 = my_reg_params_meds[!my_reg_params_meds%in%c("mosaic" my_reg_params_meds2v2 = my_reg_params_meds[!my_reg_params_meds%in%c("mosaic"
, "flustat" , "flustat"
, "onset_2_initial" , "onset_2_initial"
, "onsfindeath" , "onsfindeath"
, "ia_exac_copd" , "ia_exac_copd"
, "death")] , "death"
, "t1_resp_recoded"
, "T1_resp_score"
, "asthma")]
for(i in my_reg_params_meds1v2) { for(i in my_reg_params_meds2v2) {
#print (i) #print (i)
p_form = as.formula(paste("death ~ ", i ,sep = "")) p_form = as.formula(paste("t1_resp_recoded ~ obesity + asthma + ", i ,sep = ""))
print(p_form) print(p_form)
model_reg = glm(p_form , family = binomial, data = my_reg_data_med) model_reg = glm(p_form , family = binomial, data = my_reg_data_med)
print(summary(model_reg)) print(summary(model_reg))