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Job request: 4267

Organisation:
Bennett Institute
Workspace:
long-covid-sick-notes
ID:
lwcilwit5criwdja
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Robin Park 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

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 10000

actions:

  generate_study_population_covid_2020:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covid_2020 --output-dir=output/cohorts 
    outputs:
      highly_sensitive:
        cohort: output/cohorts/input_covid_2020.csv

  generate_study_population_general_2019:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_general_2019 --output-dir=output/cohorts 
    outputs:
      highly_sensitive:
        cohort: output/cohorts/input_general_2019.csv

  generate_study_population_general_2020:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_general_2020 --output-dir=output/cohorts 
    outputs:
      highly_sensitive:
        cohort: output/cohorts/input_general_2020.csv

  generate_study_population_pneumonia_2019:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_pneumonia_2019 --output-dir=output/cohorts 
    outputs:
      highly_sensitive:
        cohort: output/cohorts/input_pneumonia_2019.csv

  reconcile_sick_note_spells_covid_2020:
    run: python:latest python analysis/reconcile_sick_note_spells.py "_covid_2020"
    needs: [generate_study_population_covid_2020]
    outputs:
      highly_sensitive:
        cohort_with_duration: output/cohorts/input_covid_2020_with_duration.csv

  reconcile_sick_note_spells_general_2019:
    run: python:latest python analysis/reconcile_sick_note_spells.py "_general_2019"
    needs: [generate_study_population_general_2019]
    outputs:
      highly_sensitive:
        cohort_with_duration: output/cohorts/input_general_2019_with_duration.csv

  reconcile_sick_note_spells_general_2020:
    run: python:latest python analysis/reconcile_sick_note_spells.py "_general_2020"
    needs: [generate_study_population_general_2020]
    outputs:
      highly_sensitive:
        cohort_with_duration: output/cohorts/input_general_2020_with_duration.csv

  reconcile_sick_note_spells_pneumonia_2019:
    run: python:latest python analysis/reconcile_sick_note_spells.py "_pneumonia_2019"
    needs: [generate_study_population_pneumonia_2019]
    outputs:
      highly_sensitive:
        cohort_with_duration: output/cohorts/input_pneumonia_2019_with_duration.csv

  # matching_2019:
  #   run: python:latest python analysis/match_running.py "input_general_2019" "_2019" "2019-02-01" --output-dir=output/cohorts
  #   needs: [generate_study_population_covid_2020, generate_study_population_general_2019]
  #   outputs:
  #     moderately_sensitive:
  #       matching_report: output/cohorts/matching_report_2019.txt
  #     highly_sensitive:
  #       matched_cohort: output/cohorts/matched_matches_2019.csv

  # matching_2020:
  #   run: python:latest python analysis/match_running.py "input_general_2020" "_2020" "2020-02-01" --output-dir=output/cohorts
  #   needs: [generate_study_population_covid_2020, generate_study_population_general_2020]
  #   outputs:
  #     moderately_sensitive:
  #       matching_report: output/cohorts/matching_report_2020.txt
  #     highly_sensitive:
  #       matched_cohort: output/cohorts/matched_matches_2020.csv

  covid_2020_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "covid_2020" --output-dir=output/cohorts
    needs: [generate_study_population_covid_2020]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohorts/cohort_rates_covid_2020.dta

  general_2019_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "general_2019" --output-dir=output/cohorts
    needs: [generate_study_population_general_2019]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohorts/cohort_rates_general_2019.dta

  general_2020_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "general_2020" --output-dir=output/cohorts
    needs: [generate_study_population_general_2020]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohorts/cohort_rates_general_2020.dta

  pneumonia_2019_rates_cohort:
    run: stata-mp:latest analysis/000_cr_define_covariates_simple_rates.do "pneumonia_2019" --output-dir=output/cohorts
    needs: [generate_study_population_pneumonia_2019]
    outputs:
      highly_sensitive:
        analysis_dataset: output/cohorts/cohort_rates_pneumonia_2019.dta

  covid_2020_rates:
    run: stata-mp:latest analysis/100_cr_simple_rates.do "covid_2020" --output-dir=output/tabfig
    needs: [covid_2020_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_covid_2020.csv

  general_2019_rates:
    run: stata-mp:latest analysis/100_cr_simple_rates.do "general_2019" --output-dir=output/tabfig
    needs: [general_2019_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_general_2019.csv

  general_2020_rates:
    run: stata-mp:latest analysis/100_cr_simple_rates.do "general_2020" --output-dir=output/tabfig
    needs: [general_2020_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_general_2020.csv

  pneumonia_2019_rates:
    run: stata-mp:latest analysis/100_cr_simple_rates.do "pneumonia_2019" --output-dir=output/tabfig
    needs: [pneumonia_2019_rates_cohort]
    outputs:
      moderately_sensitive:
        rates: output/tabfig/rates_summary_pneumonia_2019.csv

  append_cohorts:
    run: stata-mp:latest analysis/200_cr_data_management_matching.do --output-dir=output/cohorts
    needs: [covid_2020_rates_cohort, pneumonia_2019_rates_cohort, general_2020_rates_cohort, general_2019_rates_cohort]
    outputs:
      moderately_sensitive:
        log: output/cohorts/append_cohorts.txt
      highly_sensitive: 
        dataset: output/cohorts/combined_covid_pneumonia.dta
        dataset2: output/cohorts/combined_covid_general_2019.dta
        dataset3: output/cohorts/combined_covid_general_2020.dta

  cox_models:
    run: stata-mp:latest analysis/201_cox_models.do
    needs: [append_cohorts]
    outputs:
      moderately_sensitive:
        log: output/cohorts/cox_models.txt
        dataset: output/tabfig/cox_model_summary.csv

  describe_duration:
    run: jupyter:latest jupyter nbconvert /workspace/notebooks/describe_duration.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [reconcile_sick_note_spells_covid_2020, reconcile_sick_note_spells_general_2019, reconcile_sick_note_spells_general_2020, reconcile_sick_note_spells_pneumonia_2019]
    outputs:
      moderately_sensitive:
        notebook: output/describe_duration.html
        table: output/tabfig/med_iqr_overall.csv
        table2: output/tabfig/med_iqr_age_group.csv
        table3: output/tabfig/med_iqr_sex.csv
        table4: output/tabfig/med_iqr_ethnicity.csv
        table5: output/tabfig/med_iqr_imd.csv
        table6: output/tabfig/med_iqr_region.csv

  rates_over_time:
    run: jupyter:latest jupyter nbconvert /workspace/notebooks/rates_over_time.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [generate_study_population_covid_2020, generate_study_population_general_2019, generate_study_population_general_2020, generate_study_population_pneumonia_2019]
    outputs:
      moderately_sensitive:
        notebook: output/rates_over_time.html

Timeline

  • Created:

  • Finished:

  • Runtime:

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

Job information

Status
Succeeded
Backend
TPP
Workspace
long-covid-sick-notes
Requested by
Robin Park
Branch
master
Force run dependencies
No
Git commit hash
7dfaabc
Requested actions
  • describe_duration

Code comparison

Compare the code used in this Job Request