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Job request: 26887

Organisation:
NICE
Workspace:
nice001-simulation-cohort
ID:
6apwxp2vkoif74xi

This page shows the technical details of what happened when the authorised researcher Xi Xiong 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:
    sequential_conditional_models
    Status:
    Succeeded
    Job identifier:
    5vyrzirmiog5h6l6

Pipeline

Show project.yaml
version: '5.0'

actions:
  generate_dataset:
    run: >
      ehrql:v1 generate-dataset 
      analysis/dataset_definition_qfracture.py 
      --output output/qfracture_variables.csv
    outputs:
      highly_sensitive:
        dataset: output/qfracture_variables.csv

  identify_dxa_eligible:
    run: stata-mp:v1 analysis/identify_dxa_eligible.do
    needs: [generate_dataset]
    outputs:
      highly_sensitive:
        cohort_with_dxa_flags: output/qfracture_cohort_with_dxa_flags.dta
        dxa_eligible_population: output/dxa_eligible_population.dta

  create_table1_dxa:
    run: stata-mp:v1 analysis/table1_dxa.do
    needs: [identify_dxa_eligible]
    outputs:
      moderately_sensitive:
        table1_qfracture: output/table1_dxa.csv  

  calibrate_women:
    run: stata-mp:v1 analysis/women_calibration_weighting.do
    needs: [identify_dxa_eligible]
    outputs:
      highly_sensitive:
        patient_weights: output/dxa_eligible_women_calibration_weights.dta
      moderately_sensitive:
        balance: output/women_calibration_balance.csv
        weight_diagnostics: output/women_calibration_weight_diagnostics.csv
        missingness_exact: output/women_calibration_missingness.csv
        weighted_missingness_exact: output/women_calibration_weighted_missingness.csv
        feasibility: output/women_calibration_feasibility.csv

  calibrate_men:
    run: stata-mp:v1 analysis/men_calibration_weighting.do
    needs: [identify_dxa_eligible]
    outputs:
      highly_sensitive:
        patient_weights: output/dxa_eligible_men_calibration_weights.dta
      moderately_sensitive:
        balance: output/men_calibration_balance.csv
        weight_diagnostics: output/men_calibration_weight_diagnostics.csv
        missingness_exact: output/men_calibration_missingness.csv
        weighted_missingness_exact: output/men_calibration_weighted_missingness.csv
        feasibility: output/men_calibration_feasibility.csv

  sequential_conditional_models:
    run: stata-mp:v1 analysis/sequential_conditional_models.do
    needs:
      - calibrate_women
      - calibrate_men
    outputs:
      moderately_sensitive:
        coefficients_release: output/release/sequential_model_coefficients_release.csv
        manifest_release: output/release/sequential_model_manifest.csv
        mapping_rules_release: output/release/sequential_model_mapping_rules.csv
        model_diagnostics_internal: output/internal/sequential_model_diagnostics_internal.csv
        category_diagnostics_internal: output/internal/sequential_model_category_diagnostics_internal.csv
        cohort_diagnostics_internal: output/internal/sequential_model_cohort_diagnostics_internal.csv

Job statistics

Status Count Percentage
Pending 0 0%
Running 0 0%
Succeeded 1 100%
Failed 0 0%

1 / 1 (100%) complete

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:23:52

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

Job request

Status
Succeeded
Backend
TPP
Requested by
Xi Xiong
Branch
main
Force run dependencies
No
Git commit hash
f43c4e5
Requested actions
  • sequential_conditional_models

Code comparison

Compare the code used in this job request