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Job request: 16585

Organisation:
Bennett Institute
Workspace:
paxlovid_sotrovimab
ID:
5xqckci2h6gvkj3s

This page shows the technical details of what happened when the authorised researcher Bang Zheng 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: 50000

actions:

  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition
    outputs:
      highly_sensitive:
        cohort: output/input.csv

  data_preparation:
    run: stata-mp:latest analysis/data_preparation_and_descriptives.do
    needs: [generate_study_population]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation.log
      highly_sensitive:
        data: output/main.dta
        data2: output/sensitivity.dta

  cox_regression:
    run: stata-mp:latest analysis/cox.do
    needs: [data_preparation]
    outputs:
      moderately_sensitive:
        log: logs/cox.log
        figure1: output/phtest.svg  
        figure2: output/phtest_psw.svg
        figure3: output/psgraph.svg 

  multiple_imputation:
    run: stata-mp:latest analysis/multiple_imputation.do
    needs: [data_preparation]
    outputs:
      moderately_sensitive:
        log: logs/MI.log


  data_preparation_molnupiravir:
    run: stata-mp:latest analysis/data_preparation_and_descriptives_molnupiravir.do
    needs: [generate_study_population]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation_mol.log
      highly_sensitive:
        data: output/main_mol.dta

  cox_regression_molnupiravir:
    run: stata-mp:latest analysis/cox_molnupiravir.do
    needs: [data_preparation_molnupiravir]
    outputs:
      moderately_sensitive:
        log: logs/cox_mol.log
        figure1: output/psgraph_mol.svg 


  generate_study_population_update:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_update
    outputs:
      highly_sensitive:
        cohort: output/input_update.csv

  data_preparation_update:
    run: stata-mp:latest analysis/data_preparation_and_descriptives_update.do
    needs: [generate_study_population_update]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation_update.log
      highly_sensitive:
        data: output/main_update.dta
        data2: output/sensitivity_update.dta

  cox_regression_update:
    run: stata-mp:latest analysis/cox_update.do
    needs: [data_preparation_update]
    outputs:
      moderately_sensitive:
        log: logs/cox_update.log
        figure1: output/phtest_update.svg  
        figure2: output/phtest_psw_update.svg
        figure3: output/psgraph_update.svg 

  multiple_imputation_update:
    run: stata-mp:latest analysis/multiple_imputation_update.do
    needs: [data_preparation_update]
    outputs:
      moderately_sensitive:
        log: logs/MI_update.log

  data_preparation_molnupiravir_update:
    run: stata-mp:latest analysis/data_preparation_and_descriptives_molnupiravir_update.do
    needs: [generate_study_population_update]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation_mol_update.log
      highly_sensitive:
        data: output/main_mol_update.dta

  cox_regression_molnupiravir_update:
    run: stata-mp:latest analysis/cox_molnupiravir_update.do
    needs: [data_preparation_molnupiravir_update]
    outputs:
      moderately_sensitive:
        log: logs/cox_mol_update.log
        figure1: output/psgraph_mol_update.svg 

  data_preparation_update_raw_rate:
    run: stata-mp:latest analysis/data_preparation_and_descriptives_update_raw_rate.do
    needs: [generate_study_population_update]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation_update_raw_rate.log

  generate_study_population_raw_rate:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_raw_rate
    outputs:
      highly_sensitive:
        cohort: output/input_raw_rate.csv

  data_preparation_update_raw_rate_untreated:
    run: stata-mp:latest analysis/data_preparation_and_descriptives_update_raw_rate_untreated.do
    needs: [generate_study_population_raw_rate]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation_update_raw_rate_untreated.log

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 01:06:42

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

Job information

Status
Failed
Backend
TPP
Requested by
Bang Zheng
Branch
main
Force run dependencies
No
Git commit hash
5a9222a
Requested actions
  • generate_study_population_raw_rate

Code comparison

Compare the code used in this Job Request