Job request: 260
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- covid-vs-non-covid-deaths-research
- ID:
- j6xjiprj2a6r7zi2
This page shows the technical details of what happened when the authorised researcher Krishnan Bhaskaran requested one or more actions to be run against real patient data within a secure environment.
By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.
The output security levels are:
-
highly_sensitive
- Researchers can never directly view these outputs
- Researchers can only request code is run against them
-
moderately_sensitive
- Can be viewed by an approved researcher by logging into a highly secure environment
- These are the only outputs that can be requested for public release via a controlled output review service.
Jobs
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- Job identifier:
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mwa4dhp6jlpj2xqo-manually-set
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- Job identifier:
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67luazdrttddvlg4-manually-set
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- Job identifier:
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jodvwrwsxgig4vab-manually-set
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- Job identifier:
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nnfosydefubsct7b-manually-set
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- Job identifier:
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hcba7hae2nz5azts-manually-set
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- Job identifier:
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7uoyutzzhyishrtf-manually-set
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
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
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.do
needs: [crmain]
outputs:
moderately_sensitive:
log: analysis/output/an_ethnicitybycod.log
graph: analysis/output/an_ethnicitybycod.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:
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Finished:
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Runtime: 09:00:12
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- covid-vs-non-covid-deaths-research
- Requested by
- Krishnan Bhaskaran
- Branch
- master
- Force run dependencies
- No
- Git commit hash
- 2cae583
- Requested actions
-
-
agesex2019models -
covnoncov_appxestimatestable -
deathsonly_ORfigure -
deathsonly_models -
fulladj2019models -
fulladjmodels
-
Code comparison
Compare the code used in this job request