Job request: 8465
- Organisation:
- University of Bristol
- Workspace:
- covid-ve-change-over-time--include-prev-infection
- ID:
- 7amz4q4xoamgs2yz
This page shows the technical details of what happened when the 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 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
-
- Job identifier:
-
uix7bkrctb75wqfu
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
episode_lengths: output/eda/episode_lengths_*.png
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:00:54
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Requested by
- Elsie Horne
- Branch
- include-prev-infection
- Force run dependencies
- No
- Git commit hash
- 5d83f8b
- Requested actions
-
-
check_episodes
-
Code comparison
Compare the code used in this Job Request