Job request: 4916
- Organisation:
- University of Bristol
- Workspace:
- covid-ve-change-over-time--combine-jcvi-groups-in-model
- ID:
- lhv4o3hjfveiyjyg
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:
-
zbukaiq6gbpmkhum
-
- Job identifier:
-
syu7cqkgu4n3n4va
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 100000
actions:
## ####################################
## preliminaries
## ####################################
design:
run: r:latest analysis/design.R
outputs:
moderately_sensitive:
study_dates_json: output/lib/study_parameters.json
study_dates_rds: output/lib/study_parameters.rds
jcvi_groups: output/lib/jcvi_groups.csv
elig_dates: output/lib/elig_dates.csv
regions: output/lib/regions.csv
model_varlist: output/lib/model_varlist.rds
outcomes: output/lib/outcomes.rds
subgroups: output/lib/subgroups.rds
## ####################################
## study definition
## ####################################
## generate dummy data for study_definition
dummy_data:
run: r:latest analysis/dummy_data.R
needs:
- design
outputs:
moderately_sensitive:
dummy_data: analysis/dummy_data.feather
## study definition
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition
--output-format feather
dummy_data_file: analysis/dummy_data.feather
needs:
- design
- dummy_data
outputs:
highly_sensitive:
cohort: output/input.feather
## ####################################
## preprocessing
## ####################################
## process data from study_definition
data_input_process:
run: r:latest analysis/preprocess/data_input_process.R
needs:
- design
- dummy_data
- generate_study_population
outputs:
highly_sensitive:
data_all: output/data/data_*.rds
moderately_sensitive:
data_properties: output/tables/data_*_tabulate.txt
## apply eligiblity criteria from boxes a and b
data_eligible_ab:
run: r:latest analysis/preprocess/data_eligible_ab.R
needs:
- design
- 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: output/lib/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:
- design
- 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
## plot second vaccination time periods
plot_2nd_vax_dates:
run: r:latest analysis/second_vax_period/plot_2nd_vax_dates.R
needs:
- design
- data_eligible_ab
- data_2nd_vax_dates
outputs:
moderately_sensitive:
plots_by_region: output/second_vax_period/images/plot_by_region_*.png
## apply eligiblity criteria from boxes c, d and e
data_eligible_cde:
run: r:latest analysis/second_vax_period/data_eligible_cde.R
needs:
- design
- 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
## ####################################
## comparisons
## ####################################
## process comparisons data
data_comparisons_process:
run: r:latest analysis/comparisons/data_comparisons_process.R
needs:
- design
- data_input_process
- data_2nd_vax_dates
- data_eligible_cde
outputs:
highly_sensitive:
data_comparisons: output/comparisons/data/data_comparisons_*.rds
## process tte data
data_tte_process:
run: r:latest analysis/comparisons/data_tte_process.R
needs:
- design
- data_input_process
- data_comparisons_process
outputs:
highly_sensitive:
data_tte_brand_outcome: output/tte/data/data_tte_*.rds
event_counts: output/tte/tables/event_counts.rds
## process event counts tables
process_event_count_tables:
run: r:latest analysis/comparisons/process_event_count_tables.R
needs:
- design
- data_tte_process
outputs:
moderately_sensitive:
tables_events: output/tte/tables/events_*.csv
tidy_tables_events: output/tte/tables/tidy_events_*.txt
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 01:29:25
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
- combine-jcvi-groups-in-model
- Force run dependencies
- No
- Git commit hash
- b0203c7
- Requested actions
-
-
design
-
data_input_process
-
Code comparison
Compare the code used in this Job Request