Job request: 21822
- Organisation:
- Bennett Institute
- Workspace:
- paxlovid_sotrovimab_molnupiravir_followup
- ID:
- yudg5bl6f227d255
This page shows the technical details of what happened when the authorised researcher Qing Wen 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:
-
7oyxauj2czslmof3
-
- Job identifier:
-
jr2i6zqhbthrordc
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_preparation:
run: stata-mp:latest analysis/data_preparation_and_descriptives.do
needs: [generate_study_population]
outputs:
moderately_sensitive:
log: logs/data_preparation.log
highly_sensitive:
data: output/main.dta
data2: output/sensitivity.dta
cox_regression:
run: stata-mp:latest analysis/cox.do
needs: [data_preparation]
outputs:
moderately_sensitive:
log: logs/cox.log
figure1: output/phtest.svg
figure2: output/phtest_psw.svg
figure3: output/psgraph.svg
multiple_imputation:
run: stata-mp:latest analysis/multiple_imputation.do
needs: [data_preparation]
outputs:
moderately_sensitive:
log: logs/MI.log
data_preparation_molnupiravir:
run: stata-mp:latest analysis/data_preparation_and_descriptives_molnupiravir.do
needs: [generate_study_population]
outputs:
moderately_sensitive:
log: logs/data_preparation_mol.log
highly_sensitive:
data: output/main_mol.dta
cox_regression_molnupiravir:
run: stata-mp:latest analysis/cox_molnupiravir.do
needs: [data_preparation_molnupiravir]
outputs:
moderately_sensitive:
log: logs/cox_mol.log
figure1: output/psgraph_mol.svg
plot:
run: stata-mp:latest analysis/plot.do
needs: [data_preparation, data_preparation_molnupiravir]
outputs:
moderately_sensitive:
log: logs/plot.log
figure1: output/kmcurve.svg
figure2: output/kmcurve_mol.svg
generate_study_population_update:
run: cohortextractor:latest generate_cohort --study-definition study_definition_update
outputs:
highly_sensitive:
cohort: output/input_update.csv
data_preparation_update:
run: stata-mp:latest analysis/data_preparation_and_descriptives_update.do
needs: [generate_study_population_update]
outputs:
moderately_sensitive:
log: logs/data_preparation_update.log
highly_sensitive:
data: output/main_update.dta
data2: output/sensitivity_update.dta
cox_regression_update:
run: stata-mp:latest analysis/cox_update.do
needs: [data_preparation_update]
outputs:
moderately_sensitive:
log: logs/cox_update.log
figure1: output/phtest_update.svg
figure2: output/phtest_psw_update.svg
figure3: output/psgraph_update.svg
multiple_imputation_update:
run: stata-mp:latest analysis/multiple_imputation_update.do
needs: [data_preparation_update]
outputs:
moderately_sensitive:
log: logs/MI_update.log
data_preparation_molnupiravir_update:
run: stata-mp:latest analysis/data_preparation_and_descriptives_molnupiravir_update.do
needs: [generate_study_population_update]
outputs:
moderately_sensitive:
log: logs/data_preparation_mol_update.log
highly_sensitive:
data: output/main_mol_update.dta
cox_regression_molnupiravir_update:
run: stata-mp:latest analysis/cox_molnupiravir_update.do
needs: [data_preparation_molnupiravir_update]
outputs:
moderately_sensitive:
log: logs/cox_mol_update.log
figure1: output/psgraph_mol_update.svg
generate_study_population_raw_rate:
run: cohortextractor:latest generate_cohort --study-definition study_definition_raw_rate
outputs:
highly_sensitive:
cohort: output/input_raw_rate.csv
data_preparation_raw_rate:
run: stata-mp:latest analysis/data_preparation_and_descriptives_raw_rate.do
needs: [generate_study_population_raw_rate]
outputs:
moderately_sensitive:
log: logs/data_preparation_raw_rate.log
table1: output/table.csv
generate_study_population_feasibility:
run: cohortextractor:latest generate_cohort --study-definition study_definition_feasibility
outputs:
highly_sensitive:
cohort: output/input_feasibility.csv
data_preparation_feasibility:
run: stata-mp:latest analysis/data_preparation_and_descriptives_feasibility.do
needs: [generate_study_population_feasibility]
outputs:
moderately_sensitive:
log: logs/data_preparation_feasibility.log
generate_study_population_feasibility_update:
run: cohortextractor:latest generate_cohort --study-definition study_definition_feasibility_update
outputs:
highly_sensitive:
cohort: output/input_feasibility_update.csv
data_preparation_feasibility_update:
run: stata-mp:latest analysis/data_preparation_and_descriptives_feasibility_update.do
needs: [generate_study_population_feasibility_update]
outputs:
moderately_sensitive:
log: logs/data_preparation_feasibility_update.log
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 22:47:29
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Requested by
- Qing Wen
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 2d5b5a0
- Requested actions
-
-
generate_study_population
-
data_preparation
-
Code comparison
Compare the code used in this Job Request