Skip to content

Job request: 17261

Organisation:
ONS
Workspace:
covid_mental_health
ID:
fv54fkl6hvvhfh7t
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Klaudia Rzepnicka 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

Pipeline

Show project.yaml 
# describes how each step in your analysis should be run

version: '3.0'

expectations:
  population_size: 1000

actions:
                
    generate_wide_non_health:
        run: cohortextractor:latest generate_cohort --study-definition study_definition_non_health --with-end-date-fix
        outputs:
            highly_sensitive:
                cohort: output/input_non_health.csv
    
    generate_wide_health_mh:
        run: cohortextractor:latest generate_cohort --study-definition study_definition_health_mh --with-end-date-fix
        outputs:
            highly_sensitive:
                cohort: output/input_health_mh.csv
                
    generate_wide_health_non_mh:
        run: cohortextractor:latest generate_cohort --study-definition study_definition_health_non_mh --with-end-date-fix
        outputs:
            highly_sensitive:
                cohort: output/input_health_non_mh.csv

    generate_wide_ons_cis_new:
        run: >
            databuilder:v0
                generate-dataset
                --output output/dataset_ons_cis_new.csv
                analysis/dataset_definition_ons_cis_new.py
        outputs:
            highly_sensitive:
                dataset: output/dataset_ons_cis_new.csv


    combine_wide_data:
        run: r:latest analysis/1_combine_wide_data.R
        needs: [generate_wide_non_health, generate_wide_health_mh, generate_wide_health_non_mh, generate_wide_ons_cis_new]
        outputs:
            highly_sensitive:
                cohort: output/input_cis_wide.csv
        
    transform_cis_wide_to_long:
        run: r:latest analysis/2_cis_wide_to_long.R
        needs: [combine_wide_data]
        outputs:
            highly_sensitive:
                cohort: output/input_cis_long.csv
    
    reconcile_snomed_ctv3:
        run: r:latest analysis/3_reconcile_snomed_ctv3.R
        needs: [transform_cis_wide_to_long]
        outputs:
            highly_sensitive:
                cohort: output/input_reconciled.csv
                #bmi: output/bmi_summary_table_info_before_cap.csv
    
    derive_exposed:
        run: r:latest analysis/4_exposed_population.R
        needs: [reconcile_snomed_ctv3]
        outputs:
            highly_sensitive:
                cohort: output/cis_exposed.csv
    
    derive_controls:
        run: r:latest analysis/5_control_population.R
        needs: [reconcile_snomed_ctv3]
        outputs:
            highly_sensitive:
                cohort: output/cis_control.csv
                
    perform_matching:
        run: r:latest analysis/6_create_controls.R
        needs: [derive_exposed, derive_controls]
        outputs:
            highly_sensitive:
                incidence: output/incidence_group.csv
                prevalence: output/prevalence_group.csv
                #exacerbated: output/exacerbated_group.csv
    
    adjust_matched_groups:
        run: r:latest analysis/7_adjust_groups.R
        needs: [perform_matching]
        outputs:
            highly_sensitive:
                incidence: output/adjusted_incidence_group.csv
                prevalence: output/adjusted_prevalence_group.csv
    
    descriptive_stats:
        run: r:latest analysis/8_descriptive_statistics.R
        needs: [adjust_matched_groups]
        outputs:
            moderately_sensitive:
                incidence_cat_stats: output/1_descriptives_incidence_cat.csv
                incidence_con_stats: output/2_descriptives_incidence_con.csv
                prevalence_cat_stats: output/3_descriptives_prevalence_cat.csv
                prevalence_con_stats: output/4_descriptives_prevalence_con.csv
    
    cumulative_incidence:
        run: r:latest analysis/9_cumulative_incidence_curves.R
        needs: [adjust_matched_groups]
        outputs:
            highly_sensitive:
                inc_t: output/incidence_t.csv
                prev_t: output/prevalence_t.csv
            moderately_sensitive:
                inc_surv: output/incidence_surv.jpg
                prev_surv: output/prevalence_surv.jpg
                
    hazard_ratios:
        run: r:latest analysis/10_new_hazard_ratio_code.R
        needs: [cumulative_incidence]
        outputs:
            moderately_sensitive:
                temp: output/5_cox_hazard_ratio_incidence_table.csv
                temp2: output/6_cox_hazard_ratio_prevalence_table.csv
                surv1: output/1_survfit_plot_incidence_noadj.jpg
                surv2: output/2_survfit_plot_prevalence_noadj.jpg
                surv3: output/3_survfit_plot_incidence_min.jpg
                surv4: output/4_survfit_plot_prevalence_min.jpg
                surv5: output/5_survfit_plot_incidence_full.jpg
                surv6: output/6_survfit_plot_prevalence_full.jpg
                shoen_1: output/inc_no_adj_schoenfeld_res.csv
                shoen_2: output/inc_min_adj_schoenfeld_res.csv
                shoen_3: output/inc_full_adj_schoenfeld_res.csv
                shoen_4: output/prev_no_adj_schoenfeld_res.csv
                shoen_5: output/prev_min_adj_schoenfeld_res.csv
                shoen_6: output/prev_full_adj_schoenfeld_res.csv
                shoen_jp1: output/inc_no_adj_schoenfeld_res.jpg
                shoen_jp2: output/inc_min_adj_schoenfeld_res.jpg
                shoen_jp3: output/inc_full_adj_schoenfeld_res.jpg
                shoen_jp4: output/prev_no_adj_schoenfeld_res.jpg
                shoen_jp5: output/prev_min_adj_schoenfeld_res.jpg
                shoen_jp6: output/prev_full_adj_schoenfeld_res.jpg

    distribution_of_follow_up_time:
        run: r:latest analysis/11_distribution_of_follow_up_time.R
        needs: [cumulative_incidence]
        outputs:
            moderately_sensitive:
                distribution_inc: output/distribution_of_follow_up_time_incidence.jpg
                distribution_prev: output/distribution_of_follow_up_time_prevalence.jpg
                density1: output/distribution_of_follow_up_time_incidence_density.jpg
                density2: output/distribution_of_follow_up_time_prevalence_density.jpg
  
    event_rates_incidence:
        run: r:latest analysis/12_event_rates_incidence.R
        needs: [cumulative_incidence]
        outputs:
            moderately_sensitive:
                incidence_event_rates: output/event_counts_and_rates_incidence.csv

    event_rates_prevalence:
        run: r:latest analysis/13_event_rates_prevalence.R
        needs: [cumulative_incidence]
        outputs:
            moderately_sensitive:
                incidence_event_rates: output/event_counts_and_rates_prevalence.csv

    temporary_test_effects_of_time:
        run: r:latest analysis/14_testing_waves.R
        needs: [cumulative_incidence]
        outputs:
            moderately_sensitive:
                d1: output/99_coeff_exposed_spline_time_fulladj_incidence.csv
                d2: output/99_anova_exposed_spline_time_interactions.csv
                d3: output/99_coeff_exposed_spline_time_fulladj_prev.csv
                d4: output/99_anova_exposed_spline_time_fulladj_prev.csv
                d5: output/99_coefficients_for_waves_incidence.csv
                d6: output/99_anova_waves_time_interaction.csv

    emmeans:
        run: r:latest analysis/15_emmeans.R
        needs: [cumulative_incidence]
        outputs:
            moderately_sensitive:
                d1: output/99_emmeans_incidence.csv
                d2: output/99_emmeans_incidence.jpg
                d3: output/99_emmeans_3df_incidence.csv
                d4: output/99_emmeans_3df_incidence.jpg
                d5: output/99_emmeans_4df_incidence.csv
                d6: output/99_emmeans_4df_incidence.jpg
                d7: output/BIC_all_3models.cvs
                d8: output/different_degrees_of_freedom_avova_all_adjustments.cvs

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 23:19:10

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

Job request

Status
Succeeded
Backend
TPP
Workspace
covid_mental_health
Requested by
Klaudia Rzepnicka
Branch
main
Force run dependencies
No
Git commit hash
4dc747e
Requested actions
  • generate_wide_ons_cis_new
  • combine_wide_data
  • transform_cis_wide_to_long
  • reconcile_snomed_ctv3
  • derive_exposed
  • derive_controls
  • perform_matching
  • adjust_matched_groups
  • descriptive_stats
  • cumulative_incidence
  • hazard_ratios
  • distribution_of_follow_up_time
  • event_rates_incidence
  • event_rates_prevalence
  • temporary_test_effects_of_time
  • emmeans

Code comparison

Compare the code used in this job request