Job request: 380
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- covid-vs-non-covid-deaths-research
- ID:
- 2cnduwhjfkw33ngj
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:
-
iaullqbt4d343y5e
-
- Job identifier:
-
fruqjqgxihihy5i4
-
- Job identifier:
-
wdt6nyv7pjwhajq3
-
- Job identifier:
-
76bnlf7brcd3iuy5
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- Job identifier:
-
tcdbma5ubtcdk6ls
Pipeline
Show project.yaml
version: "3.0"
expectations:
population_size: 100000
actions:
generate_cohortMAIN:
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_cohortSEPT2020:
run: cohortextractor:latest generate_cohort --study-definition study_definition_SEPT2020
outputs:
highly_sensitive:
cohort: output/input_SEPT2020.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_GENERAL.do MAIN
needs: [generate_cohortMAIN]
outputs:
highly_sensitive:
data: analysis/cr_create_analysis_dataset_MAIN_STSET.dta
moderately_sensitive:
log: analysis/output/cr_create_analysis_datasetMAIN.log
crSEPT2020:
run: stata-mp:latest analysis/cr_create_analysis_dataset_GENERAL.do SEPT2020
needs: [generate_cohortSEPT2020]
outputs:
highly_sensitive:
data: analysis/cr_create_analysis_dataset_SEPT2020_STSET.dta
moderately_sensitive:
log: analysis/output/cr_create_analysis_datasetSEPT2020.log
cr2019:
run: stata-mp:latest analysis/cr_create_analysis_dataset_GENERAL.do 2019
needs: [generate_cohort2019]
outputs:
highly_sensitive:
data: analysis/cr_create_analysis_dataset_2019_STSET.dta
moderately_sensitive:
log: analysis/output/cr_create_analysis_dataset2019.log
imputedataMAIN:
run: stata-mp:latest analysis/an_impute_GENERAL.do MAIN
needs: [crMAIN]
outputs:
highly_sensitive:
data: analysis/an_impute_imputeddata_MAIN.dta
moderately_sensitive:
log: analysis/output/an_impute_MAIN.log
imputedataSEPT2020:
run: stata-mp:latest analysis/an_impute_GENERAL.do SEPT2020
needs: [crSEPT2020]
outputs:
highly_sensitive:
data: analysis/an_impute_imputeddata_SEPT2020.dta
moderately_sensitive:
log: analysis/output/an_impute_SEPT2020.log
imputedata2019:
run: stata-mp:latest analysis/an_impute_GENERAL.do 2019
needs: [cr2019]
outputs:
highly_sensitive:
data: analysis/an_impute_imputeddata_2019.dta
moderately_sensitive:
log: analysis/output/an_impute_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
agesexmodelsMAIN:
run: stata-mp:latest analysis/an_covidvsnoncovid_agesex_GENERAL.do MAIN
needs: [crMAIN]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_agesex_MAIN.log
models: analysis/output/models/an_covidvsnoncovid_agesex_MAIN*.ster
agesexmodelsSEPT2020:
run: stata-mp:latest analysis/an_covidvsnoncovid_agesex_GENERAL.do SEPT2020
needs: [crSEPT2020]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_agesex_SEPT2020.log
models: analysis/output/models/an_covidvsnoncovid_agesex_SEPT2020*.ster
agesexmodels2019:
run: stata-mp:latest analysis/an_covidvsnoncovid_agesex_GENERAL.do 2019
needs: [cr2019]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_agesex_2019.log
models: analysis/output/models/an_covidvsnoncovid_agesex_2019*.ster
agesexmodelsSA_anyonDC:
run: stata-mp:latest analysis/an_covidvsnoncovid_agesex_GENERAL.do MAIN SA_anywhereonDC
needs: [crMAIN]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_agesex_MAINSA_anywhereonDC.log
models: analysis/output/models/an_covidvsnoncovid_agesex_MAINSA_anywhereonDC*.ster
agesexmodelsSA_u071only:
run: stata-mp:latest analysis/an_covidvsnoncovid_agesex_GENERAL.do MAIN SA_u071only
needs: [crMAIN]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_agesex_MAINSA_u071only.log
models: analysis/output/models/an_covidvsnoncovid_agesex_MAINSA_u071only*.ster
fullmodelsMAIN:
run: stata-mp:latest analysis/an_covidvsnoncovid_full_GENERAL.do MAIN
needs: [crMAIN]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_full_MAIN.log
models: analysis/output/models/an_covidvsnoncovid_full_MAIN*.ster
fullmodelsSEPT2020:
run: stata-mp:latest analysis/an_covidvsnoncovid_full_GENERAL.do SEPT2020
needs: [crSEPT2020]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_full_SEPT2020.log
models: analysis/output/models/an_covidvsnoncovid_full_SEPT2020*.ster
fullmodels2019:
run: stata-mp:latest analysis/an_covidvsnoncovid_full_GENERAL.do 2019
needs: [cr2019]
outputs:
moderately_sensitive:
log: analysis/output/an_covidvsnoncovid_full_2019.log
models: analysis/output/models/an_covidvsnoncovid_full_2019*.ster
ethnicity_model_and_graph:
run: stata-mp:latest analysis/an_ethnicitybycod_logisticversion.do
needs: [imputedataMAIN]
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
run_model:
run: stata-mp:latest analysis/model.do
needs: [generate_cohortMAIN]
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: 00:01:47
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Workspace
- covid-vs-non-covid-deaths-research
- Requested by
- Krishnan Bhaskaran
- Branch
- master
- Force run dependencies
- No
- Git commit hash
- 3f6285c
- Requested actions
-
-
generate_cohortSEPT2020
-
crSEPT2020
-
imputedataSEPT2020
-
agesexmodelsSEPT2020
-
fullmodelsSEPT2020
-
Code comparison
Compare the code used in this Job Request