comorbidity_asso {UKB.COVID19} | R Documentation |
Generate comorbidity association result file
Description
Association tests between each co-morbidity and given phenotype (susceptibility, mortality or severity) with the adjustment of covariates.
Usage
comorbidity_asso(
pheno,
covariates,
cormorbidity,
population = "all",
cov.name = c("sex", "age", "bmi"),
phe.name,
ICD10.file
)
Arguments
pheno |
phenotype dataframe - output from makePheno function |
covariates |
covariate dataframe - output from risk.factor function. Optional. |
cormorbidity |
Comorbidity summary generated from comorbidity.summary. |
population |
Choose self-report population/ethnic background group from "all", white", "black", "asian", "mixed", or "other". By default, population="all", include all ethnic groups. |
cov.name |
Selected covariates names. By default, cov.name=c("sex","age","bmi"), covariates are sex age and BMI. |
phe.name |
Phenotype name. |
ICD10.file |
The ICD10 code file, which is included in the package. |
Value
Outputs a comorbidity association test result with OR, 95% CI and p-value.
Examples
## Not run:
comorb.asso <- comorbidity_asso(pheno=phe,
covariates=covar,
cormorbidity=comorb,
population="white",
cov.name=c("sex","age","bmi","SES","smoke","inAgedCare"),
phe.name="hospitalisation",
ICD10.file=covid_example("ICD10.coding19.txt.gz"))
## End(Not run)
[Package UKB.COVID19 version 0.1.5 Index]