Job request: 337
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- covid-vs-non-covid-deaths-research
- ID:
- ele3hv6zzjgzsiqo
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 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
-
- Job identifier:
-
4fpcr44q23e3q6pv
-
- Job identifier:
-
nhpt344xe6p5vkv7
-
- Job identifier:
-
g4s7ljbv3fqqrjca
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
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: 00:01:21
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- covid-vs-non-covid-deaths-research
- Requested by
- Krishnan Bhaskaran
- Branch
- master
- Force run dependencies
- No
- Git commit hash
- ae77507
- Requested actions
-
-
generate_cohorts
-
generate_flowchartdata
-
generate_sep2020data
-
Code comparison
Compare the code used in this Job Request