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Job request: 17782

Organisation:
Bennett Institute
Workspace:
paxlovid_sotrovimab
ID:
qehtt4rliazzbgmm
View repo View project.yaml

This page shows the technical details of what happened when 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 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: 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 


  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_raw_rate:
    run: stata-mp:latest analysis/data_preparation_and_descriptives_raw_rate.do
    needs: [generate_study_population_raw_rate]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation_raw_rate.log
        table1: output/table.dta
        table2: output/table.csv

  generate_study_population_feasibility:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_feasibility
    outputs:
      highly_sensitive:
        cohort: output/input_feasibility.csv

  data_preparation_feasibility:
    run: stata-mp:latest analysis/data_preparation_and_descriptives_feasibility.do
    needs: [generate_study_population_feasibility]
    outputs:
      moderately_sensitive:
        log: logs/data_preparation_feasibility.log

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:35

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

Job information

Status
Succeeded
Backend
TPP
Workspace
paxlovid_sotrovimab
Requested by
Bang Zheng
Branch
main
Force run dependencies
No
Git commit hash
d30c00b
Requested actions
  • data_preparation_feasibility

Code comparison

Compare the code used in this Job Request