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Job request: 23905

Organisation:
King's College London
Workspace:
incidence_longtermconditions
ID:
2ddbqcpdwahumgzr
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 within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

  • Action:
    run_sarima
    Status:
    Status: Succeeded
    Job identifier:
    6xbnhzy4wzpowkyq

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:
    run: ehrql:v1 generate-measures analysis/dataset_definition_measures.py
      --output output/measures/measures_dataset.csv
      --
      --start-date "2015-03-01"
      --intervals 96
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        measure_csv: output/measures/measures_dataset.csv

  run_incidence_graphs:
    run: stata-mp:latest analysis/100_incidence_graphs.do
    needs: [measures_dataset]
    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: [measures_dataset, 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

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:47

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

Job request

Status
Succeeded
Backend
TPP
Workspace
incidence_longtermconditions
Requested by
Mark Russell
Branch
main
Force run dependencies
No
Git commit hash
37ee12a
Requested actions
  • run_sarima

Code comparison

Compare the code used in this job request