Job request: 7361
- Organisation:
- University of Leeds
- Workspace:
- all_cause_mortality_with_stratification
- ID:
- 6yob64nqdzmoktnk
This page shows the technical details of what happened when the authorised researcher Ciarán D. McInerney 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:
-
a2ji7ymx57zd7uv6
-
- Job identifier:
-
pztaxpuyzwyegi7k
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
# generate_study_population:
# run: cohortextractor:latest generate_cohort --study-definition study_definition
# outputs:
# highly_sensitive:
# cohort: output/input.csv
generate_study_population_2:
run: cohortextractor:latest generate_cohort --study-definition study_definition_2
outputs:
highly_sensitive:
cohort: output/input_2.csv
# generate_study_population_cohort_check:
# run: cohortextractor:latest generate_cohort --study-definition study_definition_flow_chart
# outputs:
# highly_sensitive:
# cohort: output/input_*.csv
# generate_study_population_codelist_check:
# run: cohortextractor:latest generate_cohort --study-definition study_definition_codelist_check
# outputs:
# highly_sensitive:
# cohort: output/input_*.csv
# generate_study_population_vacc_check_anyTest:
# run: cohortextractor:latest generate_cohort --study-definition study_definition_vacc_check_anyTest
# outputs:
# highly_sensitive:
# cohort: output/input_vacc_check.csv
# generate_study_population_vacc_check_posTest:
# run: cohortextractor:latest generate_cohort --study-definition study_definition_vacc_check_posTest
# outputs:
# highly_sensitive:
# cohort: output/input_vacc_check_posTest.csv
# check_cohort:
# run: r:latest analysis/check_cohort.R
# needs: [generate_study_population_cohort_check]
# outputs:
# moderately_sensitive:
# cohort: output/check_cohort.csv
# check_codelist:
# run: r:latest analysis/check_codelist.R
# needs: [generate_study_population_codelist_check]
# outputs:
# moderately_sensitive:
# cohort: output/check_codelist.csv
# 4wk_onboarding:
# run: r:latest analysis/report.R
# needs: [generate_study_population]
# outputs:
# moderately_sensitive:
# n_patients: output/count_patients.csv
##cohort1: output/plot_postOp_mortality_30day.png
# subtable_table1_ageGroup: output/table1_ageGroup.csv
# subtable_table1_Sex: output/table1_Sex.csv
# subtable_table1_30dayMortality: output/table1_postOp_mortality_30day.csv
# table1_df_4wk: output/table1_4wk_onboarding.csv
##table1_kable_4wk: output/Table1_4wk_onboarding.png
# subtable_table1_ageGroup_3mths: output/table1_ageGroup_3mths.csv
# subtable_table1_Sex_3mths: output/table1_Sex_3mths.csv
# subtable_table1_30dayMortality_3mths: output/table1_postOp_mortality_30day_3mths.csv
# table1_df_4wk_3mths: output/table1_4wk_onboarding_3mths.csv
##table1_kable_4wk_3mths: output/Table1_4wk_onboarding_3mths.png
# subtable_table1_ageGroup_6mths: output/table1_ageGroup_6mths.csv
# subtable_table1_Sex_6mths: output/table1_Sex_6mths.csv
# subtable_table1_30dayMortality_6mths: output/table1_postOp_mortality_30day_6mths.csv
# table1_df_4wk_6mths: output/table1_4wk_onboarding_6mths.csv
##table1_kable_4wk_6mths: output/Table1_4wk_onboarding_6mths.png
# tableVacc_30dayMortality: output/tableVacc_postOp_mortality_30day.csv
# tableVacc_df: output/table_Vaccination_status.csv
##tableVacc_kable: output/TableVacc.png
# tableVacc_30dayMortality_3mths: output/tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_df_3mths: output/table_Vaccination_status_3mths.csv
##tableVacc_kable_3mths: output/TableVacc_3mths.png
# tableVacc_30dayMortality_6mths: output/tableVacc_postOp_mortality_30day_6mths.csv
# tableVacc_df_6mths: output/table_Vaccination_status_6mths.csv
##tableVacc_kable_6mths: output/TableVacc_6mths.png
# vacc_definition_check_anyTest:
# run: r:latest analysis/vacc_check.R
# needs: [generate_study_population_vacc_check_anyTest]
# outputs:
# moderately_sensitive:
# tableVacc_30dayMortality_3mths_SNOMED: output/SNOMED_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_30dayMortality_3mths_TPP: output/TPP_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_30dayMortality_3mths_AlwynSNOMED: output/AlwynSNOMED_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_30dayMortality_3mths_AlwynTPP: output/AlwynTPP_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_df_check_3mths_SNOMED: output/SNOMED_table_Vaccination_status_3mths.csv
# tableVacc_df_check_3mths_TPP: output/TPP_table_Vaccination_status_3mths.csv
# tableVacc_df_check_3mths_AlwynSNOMED: output/AlwynSNOMED_table_Vaccination_status_3mths.csv
# tableVacc_df_check_3mths_AlwynTPP: output/AlwynTPP_table_Vaccination_status_3mths.csv
# vacc_definition_check_posTest:
# run: r:latest analysis/vacc_check.R
# needs: [generate_study_population_vacc_check_posTest]
# outputs:
# moderately_sensitive:
# tableVacc_30dayMortality_3mths_SNOMED: output/SNOMED_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_30dayMortality_3mths_TPP: output/TPP_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_30dayMortality_3mths_AlwynSNOMED: output/AlwynSNOMED_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_30dayMortality_3mths_AlwynTPP: output/AlwynTPP_tableVacc_postOp_mortality_30day_3mths.csv
# tableVacc_df_check_3mths_SNOMED: output/SNOMED_table_Vaccination_status_3mths.csv
# tableVacc_df_check_3mths_TPP: output/TPP_table_Vaccination_status_3mths.csv
# tableVacc_df_check_3mths_AlwynSNOMED: output/AlwynSNOMED_table_Vaccination_status_3mths.csv
# tableVacc_df_check_3mths_AlwynTPP: output/AlwynTPP_table_Vaccination_status_3mths.csv
COVIDSurg_compare:
run: r:latest analysis/Make_table_COVIDSurg_compare.R
needs: [generate_study_population_2]
outputs:
moderately_sensitive:
table_counts: output/table_Count_of_patients_in_each_cohort_in_each_era_across_all_intervals.csv
table_mortality_intervals: output/table_30day_post-op_mortality_in_each_era_across_all_intervals.csv
table_mortality_totals: output/table_30day_post-op_mortality_for_each_cohort_in_each_era.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:25:57
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Workspace
- all_cause_mortality_with_stratification
- Requested by
- Ciarán D. McInerney
- Branch
- main
- Force run dependencies
- Yes
- Git commit hash
- 270203a
- Requested actions
-
-
COVIDSurg_compare
-
Code comparison
Compare the code used in this Job Request