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Job request: 351

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
covid-vs-non-covid-deaths-research
ID:
byp6q4zo54v22iue

This page shows the technical details of what happened when authorised researcher Krishnan Bhaskaran 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

  • Action:
    cr2019
    Status:
    Status: Succeeded
    Job identifier:
    oma2yydhc66lwdmb
  • Action:
    crsept2020
    Status:
    Status: Failed
    Job identifier:
    gbex2nokzrc5ut56
  • Action:
    crmain
    Status:
    Status: Failed
    Job identifier:
    sonwhxqcjowicsh6

Pipeline

Show project.yaml
version: "3.0"

expectations:
  population_size: 10000

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

  generate_cohort2019:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_2019
    outputs:
      highly_sensitive:
        cohort: output/input_2019.csv
        
  generate_flowchartdata:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_flow_chart
    outputs:
      highly_sensitive:
        cohort: output/input_flow_chart.csv

  generate_sep2020data:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_sept2020
    outputs:
      highly_sensitive:
        cohort: output/input_sept2020.csv

  crmain:
    run: stata-mp:latest analysis/cr_create_analysis_dataset.do
    needs: [generate_cohorts]
    outputs:
      highly_sensitive:
        data: analysis/cr_create_analysis_dataset.dta
        stsetdata: analysis/cr_create_analysis_dataset_STSET_ONSCSDEATH.dta
      moderately_sensitive:
        log: analysis/output/cr_create_analysis_dataset.log
  
  cr2019:
    run: stata-mp:latest analysis/cr_create_analysis_dataset_2019.do
    needs: [generate_cohort2019]
    outputs:
      highly_sensitive:
        data: analysis/cr_create_analysis_dataset_2019.dta
      moderately_sensitive:
        log: analysis/output/cr_create_analysis_dataset_2019.log
 
  crsept2020:
    run: stata-mp:latest analysis/cr_create_analysis_dataset_sept2020.do
    needs: [generate_sep2020data]
    outputs:
      highly_sensitive:
        data: analysis/cr_create_analysis_dataset_sept2020_STSET_ONSCSDEATH.dta
      moderately_sensitive:
        log: analysis/output/cr_create_analysis_dataset_sept2020.log
 
  descriptive_table1:
    run: stata-mp:latest analysis/an_tablecontent_PublicationDescriptivesTable.do
    needs: [crmain]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_tablecontent_PublicationDescriptivesTable.txt
  
  absoluterisksbycause:
    run: stata-mp:latest analysis/an_covid_vs_othercauses_abs_AGE.do
    needs: [crmain]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_covid_vs_othercauses_abs_AGE.log
        graph: analysis/output/an_covid_vs_othercauses_abs_AGE_GRAPH.svg
        estimates: analysis/output/an_covid_vs_othercauses_abs_AGE_ESTIMATES.dta

  agesexmodels:
    run: stata-mp:latest analysis/an_covidvsnoncovid_agesex.do
    needs: [crmain]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_covidvsnoncovid_agesex.log
        models: analysis/output/models/an_covidvsnoncovid_agesex_*.ster
  
  fulladjmodels:
    run: stata-mp:latest analysis/an_covidvsnoncovid_full.do
    needs: [crmain]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_covidvsnoncovid_full.log
        models: analysis/output/models/an_covidvsnoncovid_full_*.ster  
  
  agesex2019models:
    run: stata-mp:latest analysis/an_noncovid_2019_agesex.do
    needs: [cr2019]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_noncovid_2019_agesex.log
        models: analysis/output/models/an_noncovid_2019_agesex_*.ster  
  
  
  fulladj2019models:
    run: stata-mp:latest analysis/an_noncovid_2019_full.do
    needs: [cr2019]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_noncovid_2019_full.log
        models: analysis/output/models/an_noncovid_2019_full_*.ster  
    
  covnoncov_forestplot:
    run: stata-mp:latest analysis/an_processout_agesex_covvsnon_forestplots.do
    needs: [agesexmodels]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_processout_agesex_covvsnon_forestplots_TABLE.txt
        graph: analysis/output/an_processout_agesex_covvsnon_forestplots_GRAPH.svg
 
  covnoncov_appxestimatestable:
    run: stata-mp:latest analysis/an_processout_agesex_covvsnon_table.do
    needs: 
      - agesexmodels 
      - fulladjmodels 
      - agesex2019models 
      - fulladj2019models
    outputs:
      moderately_sensitive:
        log: analysis/output/an_processout_agesex_covvsnon_table.txt
 
 
  ethnicity_model_and_graph:
    run: stata-mp:latest analysis/an_ethnicitybycod_logisticversion.do
    needs: [crmain]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_ethnicitybycod_logisticversion.log
        graph: analysis/output/an_ethnicitybycod_logisticversion.svg
 
  deathsonly_models:
    run: stata-mp:latest analysis/an_deathsonlyanalysis.do
    needs: [crmain]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_deathsonlyanalysis.log
        models: analysis/output/models/an_deathsonlyanalysis_*.ster  
   
  deathsonly_ORfigure:
    run: stata-mp:latest analysis/an_processout_deathsonlyanalysis.do
    needs: [deathsonly_models]
    outputs:
      moderately_sensitive:
        log: analysis/output/an_processout_deathsonlyanalysis_TABLE.txt
        graph: analysis/output/an_processout_deathsonlyanalysis_GRAPH.svg 
   
  run_model:
    run: stata-mp:latest analysis/model.do
    needs: [generate_cohorts]
    outputs:
      moderately_sensitive:
        log: logs/model.log

  run_all:
    needs:
      - run_model
    # In order to be valid this action needs to define a run commmand and some
    # output. We don't really care what these are but the below does the trick.
    # In a future release of the platform, this special action won't need to be
    # defined at all.
    run: cohortextractor:latest --version
    outputs:
      moderately_sensitive:
        whatever: project.yaml

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:44

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

Job information

Status
Failed
Backend
TPP
Requested by
Krishnan Bhaskaran
Branch
master
Force run dependencies
No
Git commit hash
d1d6ab6
Requested actions
  • cr2019
  • crmain
  • crsept2020

Code comparison

Compare the code used in this Job Request