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Job request: 23925

Organisation:
King's College London
Workspace:
incidence_longtermconditions
ID:
tw67ytpktq7cr2mt
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Mark Russell 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

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 10000

actions:
             
  generate_dataset:
    run: ehrql:v1 generate-dataset analysis/dataset_definition.py
      --output output/dataset_definition.csv
    outputs:
      highly_sensitive:
        cohort: output/dataset_definition.csv 

  measures_dataset_2016:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2016.csv
      --
      --start-date "2016-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2016.csv

  measures_dataset_2017:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2017.csv
      --
      --start-date "2017-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2017.csv

  measures_dataset_2018:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2018.csv
      --
      --start-date "2018-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2018.csv

  measures_dataset_2019:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2019.csv
      --
      --start-date "2019-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2019.csv

  measures_dataset_2020:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2020.csv
      --
      --start-date "2020-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2020.csv

  measures_dataset_2021:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2021.csv
      --
      --start-date "2021-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2021.csv

  measures_dataset_2022:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2022.csv
      --
      --start-date "2022-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2022.csv

  measures_dataset_2023:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2023.csv
      --
      --start-date "2023-04-01"
      --intervals 12
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2023.csv
   
  measures_dataset_2024:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset_2024.csv
      --
      --start-date "2024-04-01"
      --intervals 6
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset_2024.csv

  run_incidence_graphs:
    run: stata-mp:latest analysis/100_incidence_graphs.do
    needs: [generate_dataset, measures_dataset_2016, measures_dataset_2017, measures_dataset_2018, measures_dataset_2019, measures_dataset_2020, measures_dataset_2021, measures_dataset_2022, measures_dataset_2023, measures_dataset_2024]
    outputs:
      moderately_sensitive:
        log1: logs/descriptive_tables.log   
        figure1: output/figures/incidence_*.svg
        figure2: output/figures/prevalence_*.svg
        figure3: output/figures/inc_comp_*.svg
        figure4: output/figures/prev_comp_*.svg
        figure5: output/figures/inc_adj_*.svg
        figure6: output/figures/inc_ma_sex_*.svg
        figure7: output/figures/prev_adj_*.svg
        figure8: output/figures/inc_adj_ma_*.svg
        figure9: output/figures/inc_adj_ma2_*.svg
        figure10: output/figures/adj_ma_sex_*.svg
        figure11: output/figures/adj_ma_sex2_*.svg
        figure12: output/figures/adj_ma_age_*.svg
        data1: output/data/arima_nonstandardised.csv

  run_sarima:
    run: r:latest analysis/200_sarima.R
    needs: [run_incidence_graphs]
    outputs:
      moderately_sensitive:
        log1: logs/sarima_log.txt   
        figure1: output/figures/observed_*.svg
        figure2: output/figures/raw_pre_covid_*.svg
        figure3: output/figures/differenced_pre_covid_*.svg
        figure4: output/figures/seasonal_pre_covid_*.svg
        figure5: output/figures/raw_acf_*.svg
        figure6: output/figures/differenced_acf_*.svg
        figure7: output/figures/seasonal_acf_*.svg
        figure8: output/figures/auto_residuals_*.svg
        figure9: output/figures/obs_pred_*.svg
        table1: output/tables/change_incidence_byyear.csv
        table2: output/tables/values_*.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 29:23:49

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job information

Status
Succeeded
Backend
TPP
Workspace
incidence_longtermconditions
Requested by
Mark Russell
Branch
main
Force run dependencies
Yes
Git commit hash
022292f
Requested actions
  • run_all

Code comparison

Compare the code used in this Job Request