## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>", eval = FALSE ) ## ----setup-------------------------------------------------------------------- # library(OdysseusSurvivalModule) # library(DatabaseConnector) # library(Eunomia) ## ----eunomia-setup------------------------------------------------------------ # connectionDetails <- Eunomia::getEunomiaConnectionDetails() # connection <- DatabaseConnector::connect(connectionDetails) # # cdmDatabaseSchema <- Eunomia::getEunomiaCdmDatabaseSchema() # cohortDatabaseSchema <- Eunomia::getEunomiaResultsSchema() ## ----build-survival----------------------------------------------------------- # survivalData <- OdysseusSurvivalModule:::addCohortSurvival( # connection = connection, # cdmDatabaseSchema = cdmDatabaseSchema, # cohortDatabaseSchema = cohortDatabaseSchema, # targetCohortTable = "cohort", # targetCohortId = 1, # outcomeCohortTable = "cohort", # outcomeCohortId = 2, # outcomeDateVariable = "cohort_start_date", # followUpDays = 365, # includeAge = TRUE, # includeGender = TRUE # ) # # head(survivalData) ## ----km-fit------------------------------------------------------------------- # kmFit <- singleEventSurvival( # survivalData = survivalData, # timeScale = "days", # model = "km", # strata = "gender", # confInt = 0.95 # ) # # names(kmFit) # kmFit[["overall"]]$summary # kmFit[["gender=Female"]]$summary # kmFit$logrank_test_gender ## ----inspect-output----------------------------------------------------------- # overall_curve <- kmFit[["overall"]]$data # female_curve <- kmFit[["gender=Female"]]$data # # head(overall_curve) # head(female_curve) ## ----plot-km------------------------------------------------------------------ # plot( # kmFit[["overall"]]$data$time, # kmFit[["overall"]]$data$survival, # type = "s", # xlab = "Time (days)", # ylab = "Survival probability", # main = "Overall Kaplan-Meier curve" # ) ## ----other-models------------------------------------------------------------- # coxFit <- singleEventSurvival( # survivalData = survivalData, # timeScale = "days", # model = "cox", # covariates = c("age_years"), # confInt = 0.95 # ) # # weibullFit <- singleEventSurvival( # survivalData = survivalData, # timeScale = "days", # model = "weibull", # covariates = c("age_years") # ) # # coxFit[["overall"]]$summary # weibullFit[["overall"]]$summary ## ----cleanup------------------------------------------------------------------ # DatabaseConnector::disconnect(connection)