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Job request: 2615

Organisation:
Bennett Institute
Workspace:
comparative-ve-research_main
ID:
d6jwkz3fd7srh4rj

This page shows the technical details of what happened when the authorised researcher Will Hulme 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:
    descr_km
    Status:
    Status: Succeeded
    Job identifier:
    ggltjfapk5cc2b5s

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 100000

actions:


  design:
    run: r:latest analysis/process/design.R
    outputs:
      moderately_sensitive:
        metadata: output/data/metadata*

  extract:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input.feather

  data_process:
    run: r:latest analysis/process/data_process.R
    needs: [extract]
    outputs:
      highly_sensitive:
        data: output/data/data_processed.rds

  data_properties:
    run: r:latest analysis/process/data_properties.R output/data/data_processed.rds output/data_properties
    needs: [data_process]
    outputs:
      moderately_sensitive:
        datasummary: output/data_properties/data*.txt

  data_selection:
    run: r:latest analysis/process/data_selection.R
    needs: [data_process]
    outputs:
      highly_sensitive:
        data_allvax: output/data/data_cohort_allvax.rds
        data: output/data/data_cohort.rds
      moderately_sensitive:
        flow: output/data/flowchart.csv

  descr_table1:
    run: r:latest analysis/descriptive/table1.R
    needs: [design, data_selection]
    outputs:
      moderately_sensitive:
        html: output/descriptive/tables/table1.html
        csv: output/descriptive/tables/table1.csv

  descr_table1_allvax:
    run: r:latest analysis/descriptive/table1_allvax.R
    needs: [design, data_selection]
    outputs:
      moderately_sensitive:
        html: output/descriptive/tables/table1_allvax.html
        csv: output/descriptive/tables/table1_allvax.csv

  descr_irr:
    run: r:latest analysis/descriptive/table_irr.R
    needs: [design, data_selection]
    outputs:
      moderately_sensitive:
        html: output/descriptive/tables/table_irr.html
        csv: output/descriptive/tables/table_irr.csv

  descr_km:
    run: r:latest analysis/descriptive/km.R
    needs: [design, data_selection]
    outputs:
      moderately_sensitive:
        png: output/descriptive/km/plot_survival*.png
        svg: output/descriptive/km/plot_survival*.svg

#######################################
 ## MATCHING
#######################################

  # data_selection:
  #   run: r:latest analysis/process/data_selection.R
  #   needs: [data_process]
  #   outputs:
  #     highly_sensitive:
  #       data_az: output/data/data_vax_az_withoutdate.csv
  #       data_pfizer: output/data/data_vax_pfizer_withoutdate.csv
  #       data_az_date: output/data/data_vax_az_withdate.csv
  #       data_pfizer_date: output/data/data_vax_pfizer_withdate.csv
  #
  # matchwithoutdate_recipients:
  #   run: python:latest python analysis/matching/matchwithoutdate.py
  #   needs: [data_selection]
  #   outputs:
  #     highly_sensitive:
  #       cases: output/data/matched_cases_withoutdate.csv
  #       matches: output/data/matched_matches_withoutdate.csv
  #       combined: output/data/matched_combined_withoutdate.csv
  #     moderately_sensitive:
  #       report: output/data/matching_report_withoutdate.txt
  #
  # matchwithoutdate_process:
  #   run: r:latest analysis/matching/match_process.R withoutdate
  #   needs: [design, matchwithoutdate_recipients, data_selection]
  #   outputs:
  #     highly_sensitive:
  #       data: output/data/data_matches_withoutdate.rds
  #     moderately_sensitive:
  #       report: output/matching/matching_balance_withoutdate.html
  #
  #
  # matchwithdate_recipients:
  #   run: python:latest python analysis/matching/matchwithdate.py
  #   needs: [data_selection]
  #   outputs:
  #     highly_sensitive:
  #       cases: output/data/matched_cases_withdate.csv
  #       matches: output/data/matched_matches_withdate.csv
  #       combined: output/data/matched_combined_withdate.csv
  #     moderately_sensitive:
  #       report: output/data/matching_report_withdate.txt
  #
  #
  # matchwithdate_process:
  #   run: r:latest analysis/matching/match_process.R withdate
  #   needs: [design, matchwithdate_recipients, data_selection]
  #   outputs:
  #     highly_sensitive:
  #       data: output/data/data_matches_withdate.rds
  #     moderately_sensitive:
  #       report: output/matching/matching_balance_withdate.html



#######################################
 ## COMPARATIVE EFFECTIVENESS MODELS
 ## positive test outcome
#######################################


  model_calendar_test:
    run: r:latest analysis/models/model_cox_calendar.R test
    needs: [design, data_selection]
    outputs:
      highly_sensitive:
        data: output/test/data_cox_split.rds
        models: output/test/model*.rds
      moderately_sensitive:
        logs:  output/test/log*.txt

  report_calendar_test:
    run: r:latest analysis/models/report_cox.R test
    needs: [design, model_calendar_test]
    outputs:
      moderately_sensitive:
        figure: output/test/forest*.svg
        figure2: output/test/forest*.png
        table: output/test/estimates*.csv

  model_calendar_postest:
    run: r:latest analysis/models/model_cox_calendar.R postest
    needs: [design, data_selection]
    outputs:
      highly_sensitive:
        data: output/postest/data_cox_split.rds
        models: output/postest/model*.rds
      moderately_sensitive:
        logs:  output/postest/log*.txt

  report_calendar_postest:
    run: r:latest analysis/models/report_cox.R postest
    needs: [design, model_calendar_postest]
    outputs:
      moderately_sensitive:
        figure: output/postest/forest*.svg
        figure2: output/postest/forest*.png
        table: output/postest/estimates*.csv

  model_calendar_covidadmitted:
    run: r:latest analysis/models/model_cox_calendar.R covidadmitted
    needs: [design, data_selection]
    outputs:
      highly_sensitive:
        data: output/covidadmitted/data_cox_split.rds
        models: output/covidadmitted/model*.rds
      moderately_sensitive:
        logs:  output/covidadmitted/log*.txt

  report_calendar_covidadmitted:
    run: r:latest analysis/models/report_cox.R covidadmitted
    needs: [design, model_calendar_covidadmitted]
    outputs:
      moderately_sensitive:
        figure: output/covidadmitted/forest*.svg
        figure2: output/covidadmitted/forest*.png
        table: output/covidadmitted/estimates*.csv

  model_calendar_covidcc:
    run: r:latest analysis/models/model_cox_calendar.R covidcc
    needs: [design, data_selection]
    outputs:
      highly_sensitive:
        data: output/covidcc/data_cox_split.rds
        models: output/covidcc/model*.rds
      moderately_sensitive:
        logs:  output/covidcc/log*.txt

  report_calendar_covidcc:
    run: r:latest analysis/models/report_cox.R covidcc
    needs: [design, model_calendar_covidcc]
    outputs:
      moderately_sensitive:
        figure: output/covidcc/forest*.svg
        figure2: output/covidcc/forest*.png
        table: output/covidcc/estimates*.csv

  model_calendar_coviddeath:
    run: r:latest analysis/models/model_cox_calendar.R coviddeath
    needs: [design, data_selection]
    outputs:
      highly_sensitive:
        data: output/coviddeath/data_cox_split.rds
        models: output/coviddeath/model*.rds
      moderately_sensitive:
        logs:  output/coviddeath/log*.txt

  report_calendar_coviddeath:
    run: r:latest analysis/models/report_cox.R coviddeath
    needs: [design, model_calendar_coviddeath]
    outputs:
      moderately_sensitive:
        figure: output/coviddeath/forest*.svg
        figure2: output/coviddeath/forest*.png
        table: output/coviddeath/estimates*.csv

  model_calendar_noncoviddeath:
    run: r:latest analysis/models/model_cox_calendar.R noncoviddeath
    needs: [design, data_selection]
    outputs:
      highly_sensitive:
        data: output/noncoviddeath/data_cox_split.rds
        models: output/noncoviddeath/model*.rds
      moderately_sensitive:
        logs:  output/noncoviddeath/log*.txt

  report_calendar_noncoviddeath:
    run: r:latest analysis/models/report_cox.R noncoviddeath
    needs: [design, model_calendar_noncoviddeath]
    outputs:
      moderately_sensitive:
        figure: output/noncoviddeath/forest*.svg
        figure2: output/noncoviddeath/forest*.png
        table: output/noncoviddeath/estimates*.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:43

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Will Hulme
Branch
main
Force run dependencies
No
Git commit hash
73948e3
Requested actions
  • descr_km

Code comparison

Compare the code used in this Job Request