PatientLevelPrediction Protocol

In OhdsiReportGenerator: Observational Health Data Sciences and Informatics Report Generator

Project Details

Study Title: PatientLevelPrediction Report Prepared on: r Sys.Date()

Abbreviations

abb <- data.frame(rbind(
  c("AUROC", "Area Under the Receiver Operating Characteristic Curve"),
  c("CDM","Common Data Model"),
  c("O","Outcome Cohort"),
  c("OHDSI","Observational Health Data Sciences & Informatics"),
  c("OMOP","Observational Medical Outcomes Partnership"),
  c("T", "Target Cohort"),
  c("TAR", "Time at Risk")
))
names(abb) <- c("Abbreviation","Phrase")
abb <- abb[order(abb$Abbreviation),]

knitr::kable(x = abb, caption = 'List of Abbreviations')

Framework

In this study the model development follows the framework presented in r params$plpCitation

Evaluation Metrics and Plots

    for (i in 1:length(params$modelDesignIds)) {
      modelDesignId <- params$modelDesignIds[i]
      modelDesign <- knitr::knit_child("model-design.Rmd", quiet = TRUE, envir = environment())
      cat(modelDesign, sep = '\n')

      if(params$include_diagnostic){
      diagnostic <- knitr::knit_child("plp-diagnostic.Rmd", quiet = TRUE, envir = environment())
      cat(diagnostic , sep = '\n')
      }

      if(params$include_results){
      results <- knitr::knit_child("plp-results.Rmd", quiet = TRUE, envir = environment())
      cat(results , sep = '\n')
      }
    }

Tools

This study will be designed using OHDSI tools and run with R

r params$rCitation

OhdsiReportGenerator documentation built on April 12, 2025, 2:09 a.m.