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Job request: 7182

Organisation:
University of Manchester
Workspace:
cc_2
ID:
vmsspdekk37cmwrh
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Ya-Ting Yang requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.

Jobs

  • Action:
    process_2
    Status:
    Status: Succeeded
    Job identifier:
    gpaxcrfwsxvlq3ry

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 1000

actions:
  

  generate_study_population_covid_primarycare:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_primarycare
    outputs:
      highly_sensitive:
        cohort: output/input_covid_primarycare.csv
  
  generate_study_population_covid_SGSS:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_SGSS
    outputs:
      highly_sensitive:
        cohort: output/input_covid_SGSS.csv

  generate_study_population_covid_admission:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_admission
    outputs:
      highly_sensitive:
        cohort: output/input_covid_admission.csv


  process_1:  # Covid ons death
    run: r:latest analysis/process_1.R
    needs: [generate_study_population_covid_primarycare, generate_study_population_covid_SGSS,generate_study_population_covid_admission]
    outputs:
      highly_sensitive:
        case: output/case_covid_hosp.csv 
        control: output/control_covid_infection.csv 

  process_2: # died any cause
    run: r:latest analysis/process_2.R
    needs: [generate_study_population_covid_primarycare, generate_study_population_covid_SGSS]
    outputs:
      highly_sensitive:
        control: output/control_covid_infection_2.csv

  check_input: # 
    run: r:latest -e 'rmarkdown::render("analysis/check_input.Rmd", knit_root_dir = "/workspace", output_dir = "output")'
    needs: [process_Rmatching,process_2,extract_variables,matching,process_matching,extract_variables_outcome_2_2,extract_variables_outcome_2_4,extract_variables_outcome_2_6,matching_2,process_1,generate_study_population_covid_primarycare, generate_study_population_covid_SGSS]
    outputs:
      moderately_sensitive:
        html: output/check_input.html
        
# OS matching without replacement, ratio 2-4-6
  matching_2:
    run: python:latest python analysis/matching_outcome_2.py
    needs: [process_1]
    outputs:
      moderately_sensitive: 
        matching_report2: output/matching_report_infection_hosp_2.txt
        matching_report4: output/matching_report_infection_hosp_4.txt
        matching_report6: output/matching_report_infection_hosp_6.txt
      highly_sensitive: 
        combined2: output/matched_combined_infection_hosp_2.csv
        combined4: output/matched_combined_infection_hosp_4.csv
        combined6: output/matched_combined_infection_hosp_6.csv

  extract_variables_outcome_2_2: 
    run: cohortextractor:latest generate_cohort --study-definition study_definition_outcome_2_2
    needs: [matching_2]
    outputs:
      highly_sensitive:
        cohort: output/input_outcome_2_2.csv
    
  extract_variables_outcome_2_4: 
    run: cohortextractor:latest generate_cohort --study-definition study_definition_outcome_2_4
    needs: [matching_2]
    outputs:
      highly_sensitive:
        cohort: output/input_outcome_2_4.csv
  
  extract_variables_outcome_2_6: 
    run: cohortextractor:latest generate_cohort --study-definition study_definition_outcome_2_6
    needs: [matching_2]
    outputs:
      highly_sensitive:
        cohort: output/input_outcome_2_6.csv

  check_matching_2:
    run: r:latest -e 'rmarkdown::render("analysis/check_matching_2.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [matching_2]
    outputs:
      moderately_sensitive:
        html: output/check_matching_2.html

  process_matching: # add variables 
    run: r:latest analysis/process_matching.R
    needs: [extract_variables_outcome_2_6,extract_variables_outcome_2_4,extract_variables_outcome_2_2,matching_2]
    outputs:
      highly_sensitive:
        cohort1: output/matched_outcome_2.csv
        cohort2: output/matched_outcome_4.csv
        cohort3: output/matched_outcome_6.csv

  check_exposures_6:
    run: r:latest -e 'rmarkdown::render("analysis/check_exposures_6.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [process_matching]
    outputs:
      moderately_sensitive:
        html: output/check_exposures_6.html 

  check_exposures_4:
    run: r:latest -e 'rmarkdown::render("analysis/check_exposures_4.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [process_matching]
    outputs:
      moderately_sensitive:
        html: output/check_exposures_4.html 

  check_exposures_2:
    run: r:latest -e 'rmarkdown::render("analysis/check_exposures_2.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [process_matching]
    outputs:
      moderately_sensitive:
        html: output/check_exposures_2.html 

# R MatchIt

  matching: # matching with replacement
    run: r:latest -e 'rmarkdown::render("analysis/matching.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [process_1]
    outputs:
      moderately_sensitive:
        html: output/matching.html
      highly_sensitive: 
        rds1: output/matched_patients.rds
        rds2: output/unmatched_patients.rds
        csv: output/matched_patients_id.csv

  check_matching:
    run: r:latest -e 'rmarkdown::render("analysis/check_matching.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [matching]
    outputs:
      moderately_sensitive:
        html: output/check_matching.html

  extract_variables: 
    run: cohortextractor:latest generate_cohort --study-definition study_definition_outcome
    needs: [matching]
    outputs:
      highly_sensitive:
        cohort: output/input_outcome.csv
  
  process_Rmatching: # add variables 
    run: r:latest analysis/process_Rmatching.R
    needs: [extract_variables,matching]
    outputs:
      highly_sensitive:
        cohort1: output/matched_outcome.rds

  check_exposures_cont: # continuous variables
    run: r:latest -e 'rmarkdown::render("analysis/check_exposures_cont.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [process_Rmatching]
    outputs:
      moderately_sensitive:
        html: output/check_exposures_cont.html
  
  check_exposures_cat: # category variables
    run: r:latest -e 'rmarkdown::render("analysis/check_exposures_cat.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [process_Rmatching]
    outputs:
      moderately_sensitive:
        html: output/check_exposures_cat.html

  modeling: 
    run: r:latest -e 'rmarkdown::render("analysis/modeling.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output")'
    needs: [process_Rmatching]
    outputs:
      moderately_sensitive:
        html: output/modeling.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:04:31

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job information

Status
Succeeded
Backend
TPP
Workspace
cc_2
Requested by
Ya-Ting Yang
Branch
CC_outcome_2
Force run dependencies
No
Git commit hash
aca9955
Requested actions
  • process_2

Code comparison

Compare the code used in this Job Request