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Job request: 8438

Workspace:
covid-ve-change-over-time--include-prev-infection
ID:
2fz6gtaqmc7eqfvx

This page shows the technical details of what happened when authorised researcher Elsie Horne requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what security level various outputs were written to. Outputs marked as highly_sensitive can never be viewed directly by a researcher; 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

  • Action:
    check_episodes
    Status:
    Status: Succeeded
    Job identifier:
    g34t3356isa734ts

Pipeline

Show project.yaml
version: '3.0'

expectations:

  population_size: 100000

actions:

  ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # 
  ## DO NOT EDIT project.yaml 
  ## This file is created by create_project.R 
  ## Edit and run create_project.R to update the project.yaml 
  ## # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # 
  ## #################################### 
  ## study definition 
  ## #################################### 
  ## generate dummy data for study_definition 

  dummy_data_vax:
    run: r:latest analysis/dummy_data_vax.R
    outputs:
      moderately_sensitive:
        dummy_data: analysis/dummy_data_vax.feather

  ## study definition 

  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_vax
      --output-format feather
    dummy_data_file: analysis/dummy_data_vax.feather
    needs:
    - dummy_data_vax
    outputs:
      highly_sensitive:
        cohort: output/input_vax.feather

  ## #################################### 
  ## preprocessing 
  ## #################################### 
  ## process data from study_definition 

  data_input_process:
    run: r:latest analysis/preprocess/data_input_process.R
    needs:
    - dummy_data_vax
    - generate_study_population
    outputs:
      highly_sensitive:
        data_wide_vax_dates: output/data/data_wide_vax_dates.rds
        data_processed: output/data/data_processed.rds
      moderately_sensitive:
        data_properties: output/tables/data_*_tabulate.txt

  ## check number of events for defining prior covid 

  check_prior_covid:
    run: r:latest analysis/preprocess/check_prior_covid.R
    needs:
    - data_input_process
    outputs:
      highly_sensitive:
        prior_covid_n: output/lib/prior_covid_n.json
      moderately_sensitive:
        prior_covid_outcomes_n: output/eda/prior_covid_outcomes_n.png

  ## apply eligiblity criteria from boxes a and b 

  data_eligible_ab:
    run: r:latest analysis/preprocess/data_eligible_ab.R
    needs:
    - data_input_process
    outputs:
      highly_sensitive:
        data_eligible_a: output/data/data_eligible_a.rds
        data_eligible_b: output/data/data_eligible_b.rds
      moderately_sensitive:
        eligibility_count_ab: output/tables/eligibility_count_ab.csv
        group_age_ranges: output/lib/group_age_ranges.csv

  ## #################################### 
  ## second_vax_period 
  ## #################################### 
  ## identify second vaccination time periods 
  ## create dataset for identifying second vaccination time periods 

  data_2nd_vax_dates:
    run: r:latest analysis/second_vax_period/data_2nd_vax_dates.R
    needs:
    - data_input_process
    - data_eligible_ab
    outputs:
      highly_sensitive:
        data_vax_plot: output/second_vax_period/data/data_vax_plot.rds
        second_vax_period_dates_rds: output/second_vax_period/data/second_vax_period_dates.rds
      moderately_sensitive:
        second_vax_period_dates_txt: output/second_vax_period/tables/second_vax_period_dates.txt

  ## apply eligiblity criteria from boxes c, d and e 

  data_eligible_cde:
    run: r:latest analysis/preprocess/data_eligible_cde.R
    needs:
    - data_input_process
    - data_eligible_ab
    - data_2nd_vax_dates
    outputs:
      highly_sensitive:
        data_eligible_e_vax: output/data/data_eligible_e_vax.rds
        data_eligible_e_unvax: output/data/data_eligible_e_unvax.rds
        data_eligible_e: output/data/data_eligible_e.csv
      moderately_sensitive:
        eligibility_count_cde: output/tables/eligibility_count_cde.csv

  ## #################################### 
  ## study definition covs 
  ## #################################### 

  generate_covs_data:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_covs
      --output-format feather
    needs:
    - check_prior_covid
    - data_eligible_cde
    outputs:
      highly_sensitive:
        cohort: output/input_covs.feather

  ## #################################### 
  ## process covariates data 
  ## #################################### 
  ## (includes anytest_date) 

  data_covariates_process:
    run: r:latest analysis/preprocess/data_covariates_process.R
    needs:
    - data_input_process
    - data_eligible_cde
    - generate_covs_data
    outputs:
      highly_sensitive:
        data_covariates: output/data/data_all.rds
        data_episodes: output/data/data_episodes.rds
      moderately_sensitive:
        data_min_max_fu_csv: output/lib/data_min_max_fu.csv

  ## check covid episodes 

  check_episodes:
    run: r:latest analysis/preprocess/check_episodes.R
    needs:
    - data_covariates_process
    outputs:
      moderately_sensitive:
        episode_triggers: output/eda/episode_triggers.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime:

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Elsie Horne
Branch
include-prev-infection
Force run dependencies
No
Git commit hash
33595d4
Requested actions
  • check_episodes