Job request: 1902
- Organisation:
- Bennett Institute
- Workspace:
- immunosuppressant-meds-research
- ID:
- g5qvvc5ginvbv2ax
This page shows the technical details of what happened when the authorised researcher Anna Rowan 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:
-
a6q5jsl2ts4hd3ro
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
create_cohorts:
run: stata-mp:latest analysis/000_define_covariates.do
needs: [generate_study_population]
outputs:
highly_sensitive:
log1: logs/start_create_analysis_dataset.smcl
data1: output/data/file_imid.dta
data2: output/data/file_joint.dta
data3: output/data/file_skin.dta
data4: output/data/file_bowel.dta
data5: output/data/file_imiddrugcategory.dta
data6: output/data/file_standtnf.dta
data7: output/data/file_standtnf3m.dta
data8: output/data/file_tnfmono.dta
data9: output/data/file_standil6.dta
data10: output/data/file_standil17.dta
data11: output/data/file_standil23.dta
data12: output/data/file_standjaki.dta
data13: output/data/file_standritux.dta
data14: output/data/file_standinflix.dta
run_baseline_tables:
run: stata-mp:latest analysis/100_baseline_characteristics.do
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/descriptive_tables.smcl
run_cox_models_imid:
run: stata-mp:latest analysis/202_cox_models.do "imid"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_imid.smcl
data1: output/data/cox_model_summary_imid.dta
data2: output/data/cox_model_summary_haemonc_imid.dta
run_cox_models_joint:
run: stata-mp:latest analysis/202_cox_models.do "joint"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_joint.smcl
data1: output/data/cox_model_summary_joint.dta
data2: output/data/cox_model_summary_haemonc_joint.dta
run_cox_models_skin:
run: stata-mp:latest analysis/202_cox_models.do "skin"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_skin.smcl
data1: output/data/cox_model_summary_skin.dta
data2: output/data/cox_model_summary_haemonc_skin.dta
run_cox_models_bowel:
run: stata-mp:latest analysis/202_cox_models.do "bowel"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_bowel.smcl
data1: output/data/cox_model_summary_bowel.dta
data2: output/data/cox_model_summary_haemonc_bowel.dta
run_cox_models_imiddrugcategory:
run: stata-mp:latest analysis/202_cox_models.do "imiddrugcategory"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_imiddrugcategory.smcl
data1: output/data/cox_model_summary_imiddrugcategory.dta
data2: output/data/cox_model_summary_haemonc_imiddrugcategory.dta
run_cox_models_standtnf:
run: stata-mp:latest analysis/202_cox_models.do "standtnf"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standtnf.smcl
data1: output/data/cox_model_summary_standtnf.dta
data2: output/data/cox_model_summary_haemonc_standtnf.dta
run_cox_models_standtnf3m:
run: stata-mp:latest analysis/202_cox_models.do "standtnf3m"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standtnf3m.smcl
data1: output/data/cox_model_summary_standtnf3m.dta
data2: output/data/cox_model_summary_haemonc_standtnf3m.dta
run_cox_models_tnfmono:
run: stata-mp:latest analysis/202_cox_models.do "tnfmono"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_tnfmono.smcl
data1: output/data/cox_model_summary_tnfmono.dta
data2: output/data/cox_model_summary_haemonc_tnfmono.dta
run_cox_models_standil6:
run: stata-mp:latest analysis/202_cox_models.do "standil6"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standil6.smcl
data1: output/data/cox_model_summary_standil6.dta
data2: output/data/cox_model_summary_haemonc_standil6.dta
run_cox_models_standil17:
run: stata-mp:latest analysis/202_cox_models.do "standil17"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standil17.smcl
data1: output/data/cox_model_summary_standil17.dta
data2: output/data/cox_model_summary_haemonc_standil17.dta
run_cox_models_standil23:
run: stata-mp:latest analysis/202_cox_models.do "standil23"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standil23.smcl
data1: output/data/cox_model_summary_standil23.dta
data2: output/data/cox_model_summary_haemonc_standil23.dta
run_cox_models_standjaki:
run: stata-mp:latest analysis/202_cox_models.do "standjaki"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standjaki.smcl
data1: output/data/cox_model_summary_standjaki.dta
data2: output/data/cox_model_summary_haemonc_standjaki.dta
run_cox_models_standritux:
run: stata-mp:latest analysis/202_cox_models.do "standritux"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standritux.smcl
data1: output/data/cox_model_summary_standritux.dta
data2: output/data/cox_model_summary_haemonc_standritux.dta
run_cox_models_standinflix:
run: stata-mp:latest analysis/202_cox_models.do "standinflix"
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/cox_models_standinflix.smcl
data1: output/data/cox_model_summary_standinflix.dta
data2: output/data/cox_model_summary_haemonc_standinflix.dta
run_survival_curves:
run: stata-mp:latest analysis/301_survival_curves.do
needs: [create_cohorts]
outputs:
moderately_sensitive:
log1: logs/graphs.smcl
figure1: output/figures/survcurv_imiddrugcategory_icuordeath.svg
figure2: output/figures/imiddrugcategory_graph.gph
figure3: output/figures/survcurv_imiddrugcategory_died.svg
figure4: output/figures/survcurv_bowel_icuordeath.svg
figure5: output/figures/bowel_graph.gph
figure6: output/figures/survcurv_bowel_died.svg
figure7: output/figures/survcurv_skin_icuordeath.svg
figure8: output/figures/skin_graph.gph
figure9: output/figures/survcurv_skin_died.svg
figure10: output/figures/survcurv_joint_icuordeath.svg
figure11: output/figures/joint_graph.gph
figure12: output/figures/survcurv_joint_died.svg
figure13: output/figures/survcurv_imid_icuordeath.svg
figure14: output/figures/imid_graph.gph
figure15: output/figures/survcurv_imid_died.svg
figure16: output/figures/survcurv_imiddrugcategory_hospital.svg
figure17: output/figures/survcurv_bowel_hospital.svg
figure18: output/figures/survcurv_skin_hospital.svg
figure19: output/figures/survcurv_joint_hospital.svg
figure20: output/figures/survcurv_imid_hospital.svg
run_outcomes_check:
run: r:latest analysis/outcomes_check_withandwithoutpositivetest.R
needs: [create_cohorts]
outputs:
moderately_sensitive:
data1: output/data/outcomes_check.csv
Timeline
-
Created:
-
Finished:
-
Runtime:
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Workspace
- immunosuppressant-meds-research
- Requested by
- Anna Rowan
- Branch
- master
- Force run dependencies
- No
- Git commit hash
- bed4970
- Requested actions
-
-
run_cox_models_skin
-
Code comparison
Compare the code used in this Job Request