Job request: 18869
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- safety-sotrovimab-paxlovid-molnupiravir
- ID:
- w5ywqcsjinpqco4t
This page shows the technical details of what happened when the authorised researcher Katie Bechman 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
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- Job identifier:
-
d4pkyjyztzjeh55y
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- Job identifier:
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dnmjbuw7vywencsi
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- Job identifier:
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7gdkua2katznhsxt
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- Job identifier:
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2ewlsjasx4rh6k5j
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- Job identifier:
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rfe5kfqajzlfbx27
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- Job identifier:
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jz5dchsnxud35xfj
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- Job identifier:
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bhwgiwktja3x3pj4
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_properties:
run: r:latest analysis/data_properties.R output/input.csv output
needs: [generate_study_population]
outputs:
moderately_sensitive:
cohort: output/input*.txt
define_covariates:
run: stata-mp:latest analysis/000_define_covariates.do
needs: [generate_study_population]
outputs:
moderately_sensitive:
log: logs/cleaning_dataset.log
highly_sensitive:
data: output/data/main.dta
baseline_characteristic:
run: stata-mp:latest analysis/100_baseline_characteristics.do
needs: [define_covariates]
outputs:
moderately_sensitive:
log: logs/baseline_characterisitcs.log
cox_model:
run: stata-mp:latest analysis/200_cox_model.do
needs: [define_covariates]
outputs:
moderately_sensitive:
log: logs/cox_model.log
data: output/tables/cox_model_summary.dta
survrisk_ae_all: output/figures/survrisk_ae_all.svg
survrisk_ae_spc_all: output/figures/survrisk_ae_spc_all.svg
survrisk_ae_drug_all: output/figures/survrisk_ae_drug_all.svg
survrisk_ae_imae_all: output/figures/survrisk_ae_imae_all.svg
survrisk_allcause_emerg_aande: output/figures/survrisk_allcause_emerg_aande.svg
survrisk_covid_hosp_date: output/figures/survrisk_covid_hosp_date.svg
survrisk_all_hosp_date: output/figures/survrisk_all_hosp_date.svg
survrisk_died_date_ons: output/figures/survrisk_died_date_ons.svg
survhaz_ae_all: output/figures/survhaz_ae_all.svg
survhaz_ae_spc_all: output/figures/survhaz_ae_spc_all.svg
survhaz_ae_drug_all: output/figures/survhaz_ae_drug_all.svg
survhaz_ae_imae_all: output/figures/survhaz_ae_imae_all.svg
survhaz_allcause_emerg_aande: output/figures/survhaz_allcause_emerg_aande.svg
survhaz_covid_hosp_date: output/figures/survhaz_covid_hosp_date.svg
survhaz_all_hosp_date: output/figures/survhaz_all_hosp_date.svg
survhaz_died_date_ons: output/figures/survhaz_died_date_ons.svg
survcur_ae_all: output/figures/survcur_ae_all.svg
survcur_ae_spc_all: output/figures/survcur_ae_spc_all.svg
survcur_ae_drug_all: output/figures/survcur_ae_drug_all.svg
survcur_ae_imae_all: output/figures/survcur_ae_imae_all.svg
survcur_allcause_emerg_aande: output/figures/survcur_allcause_emerg_aande.svg
survcur_covid_hosp_date: output/figures/survcur_covid_hosp_date.svg
survcur_all_hosp_date: output/figures/survcur_all_hosp_date.svg
survcur_died_date_ons: output/figures/survcur_died_date_ons.svg
PS_model:
run: stata-mp:latest analysis/300_ps_model.do
needs: [define_covariates]
outputs:
moderately_sensitive:
log: logs/ps_model.log
data: output/tables/cox_model_propensity.dta
histogram_agesex: output/figures/histogram_agesex.svg
histogram_adj: output/figures/histogram_adj.svg
histogram_fuladj1: output/figures/histogram_fulladj1.svg
histogram_fulladj2: output/figures/histogram_fulladj2.svg
match_agesex: output/figures/match_agesex.svg
match_adj: output/figures/match_adj.svg
match_fulladj1: output/figures/match_fulladj1.svg
match_fulladj2: output/figures/match_fulladj2.svg
preceed_rate:
run: stata-mp:latest analysis/400_preceeding_rate.do
needs: [define_covariates]
outputs:
moderately_sensitive:
log: logs/preceed_rate.log
data: output/tables/comparator_rate_summary.dta
Timeline
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Created:
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Started:
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Finished:
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Runtime: 25:21:37
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Workspace
- safety-sotrovimab-paxlovid-molnupiravir
- Requested by
- Katie Bechman
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- d7e6959
- Requested actions
-
-
generate_study_population
-
data_properties
-
define_covariates
-
baseline_characteristic
-
cox_model
-
PS_model
-
preceed_rate
-
run_all
-
Code comparison
Compare the code used in this Job Request