Skip to content

Job request: 21447

Organisation:
University of Bristol
Workspace:
lockdown-and-vulnerable-groups
ID:
azc454zo27nr7uuc

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

By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what security level various outputs were written to. Outputs marked as highly_sensitive can never be viewed directly by a researcher; 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

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_study_population_1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-02 to 2020-01-13 by week" --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv.gz

  generate_study_population_2:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-01-20 to 2020-06-01 by week" --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input*.csv.gz

  generate_study_population_3:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-06-08 to 2020-10-19 by week" --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/inpu*.csv.gz

  generate_study_population_4:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-10-26 to 2021-03-01 by week" --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/inp*.csv.gz

  generate_study_population_5:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-03-08 to 2021-06-14 by week" --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/in*.csv.gz

  generate_study_population_6:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-06-21 to 2021-09-27 by week" --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/i*.csv.gz


  generate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition
    needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_4, generate_study_population_5, generate_study_population_6]
    outputs:
      moderately_sensitive:
        measure_csv: output/measure_*_rate.csv


  subgroup_setup:
    run: stata-mp:latest analysis/subgroup_data_setup.do
    needs: 
    - generate_measures
    outputs:
      highly_sensitive:
        subgroup1: output/measure_dvafemale_rate.dta
        subgroup2: output/measure_dvamale_rate.dta
        subgroup3: output/measure_intdissub14_rate.dta
        subgroup4: output/measure_intdisover14_rate.dta
        subgroup5: output/measure_rcgpsafeguard_rate.dta
        subgroup6: output/measure_alcmisuse_rate.dta
        subgroup7: output/measure_drugmisuse_rate.dta
        subgroup8: output/measure_opioid_rate.dta

  model_alcmisuse:
    run: stata-mp:latest analysis/model.do alcmisuse
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/alcmisuse_RR_LD1.dta
        results2: output/alcmisuse_RD_LD1.dta
        results3: output/alcmisuse_RR_LD2.dta
        results4: output/alcmisuse_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/alcmisuse_diagnostics1.svg
        diagnostics2: output/diagnostics/alcmisuse_diagnostics2.svg
        plot1: output/alcmisuse_plot1.svg
        plot2: output/alcmisuse_plot2.svg

  model_drugmisuse:
    run: stata-mp:latest analysis/model.do drugmisuse
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/drugmisuse_RR_LD1.dta
        results2: output/drugmisuse_RD_LD1.dta
        results3: output/drugmisuse_RR_LD2.dta
        results4: output/drugmisuse_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/drugmisuse_diagnostics1.svg
        diagnostics2: output/diagnostics/drugmisuse_diagnostics2.svg
        plot1: output/drugmisuse_plot1.svg
        plot2: output/drugmisuse_plot2.svg

  model_opioid:
    run: stata-mp:latest analysis/model.do opioid
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/opioid_RR_LD1.dta
        results2: output/opioid_RD_LD1.dta
        results3: output/opioid_RR_LD2.dta
        results4: output/opioid_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/opioid_diagnostics1.svg
        diagnostics2: output/diagnostics/opioid_diagnostics2.svg
        plot1: output/opioid_plot1.svg
        plot2: output/opioid_plot2.svg

  model_dvafemale:
    run: stata-mp:latest analysis/model.do dvafemale
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/dvafemale_RR_LD1.dta
        results2: output/dvafemale_RD_LD1.dta
        results3: output/dvafemale_RR_LD2.dta
        results4: output/dvafemale_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/dvafemale_diagnostics1.svg
        diagnostics2: output/diagnostics/dvafemale_diagnostics2.svg
        plot1: output/dvafemale_plot1.svg
        plot2: output/dvafemale_plot2.svg

  model_dvamale:
    run: stata-mp:latest analysis/model.do dvamale
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/dvamale_RR_LD1.dta
        results2: output/dvamale_RD_LD1.dta
        results3: output/dvamale_RR_LD2.dta
        results4: output/dvamale_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/dvamale_diagnostics1.svg
        diagnostics2: output/diagnostics/dvamale_diagnostics2.svg
        plot1: output/dvamale_plot1.svg
        plot2: output/dvamale_plot2.svg

  model_intdissub14:
    run: stata-mp:latest analysis/model.do intdissub14
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/intdissub14_RR_LD1.dta
        results2: output/intdissub14_RD_LD1.dta
        results3: output/intdissub14_RR_LD2.dta
        results4: output/intdissub14_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/intdissub14_diagnostics1.svg
        diagnostics2: output/diagnostics/intdissub14_diagnostics2.svg
        plot1: output/intdissub14_plot1.svg
        plot2: output/intdissub14_plot2.svg

  model_intdisover14:
    run: stata-mp:latest analysis/model.do intdisover14
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/intdisover14_RR_LD1.dta
        results2: output/intdisover14_RD_LD1.dta
        results3: output/intdisover14_RR_LD2.dta
        results4: output/intdisover14_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/intdisover14_diagnostics1.svg
        diagnostics2: output/diagnostics/intdisover14_diagnostics2.svg
        plot1: output/intdisover14_plot1.svg
        plot2: output/intdisover14_plot2.svg


  model_rcgpsafeguard:
    run: stata-mp:latest analysis/model.do rcgpsafeguard
    needs:
    - subgroup_setup
    outputs:
      highly_sensitive:
        results1: output/rcgpsafeguard_RR_LD1.dta
        results2: output/rcgpsafeguard_RD_LD1.dta
        results3: output/rcgpsafeguard_RR_LD2.dta
        results4: output/rcgpsafeguard_RD_LD2.dta
      moderately_sensitive:
        diagnostics1: output/diagnostics/rcgpsafeguard_diagnostics1.svg
        diagnostics2: output/diagnostics/rcgpsafeguard_diagnostics2.svg
        plot1: output/rcgpsafeguard_plot1.svg
        plot2: output/rcgpsafeguard_plot2.svg

  combine_results:
    run: stata-mp:latest analysis/combine_results.do
    needs:
    - model_alcmisuse
    - model_drugmisuse
    - model_opioid
    - model_dvafemale
    - model_dvamale
    - model_intdissub14
    - model_intdisover14
    - model_rcgpsafeguard
    outputs:
      moderately_sensitive:
        results: output/CITS_results.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:10:55

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Scott Walter
Branch
main
Force run dependencies
No
Git commit hash
28cc250
Requested actions
  • model_alcmisuse
  • model_drugmisuse
  • model_opioid
  • model_dvafemale
  • model_dvamale
  • model_intdissub14
  • model_intdisover14
  • model_rcgpsafeguard
  • combine_results

Code comparison

Compare the code used in this Job Request