Job request: 18465
- Organisation:
- University of Manchester
- Workspace:
- main_pregnancy_tx_pathways
- ID:
- dshyreyfhntcbwsp
This page shows the technical details of what happened when the authorised researcher Dexter Hayes 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:
-
npkwfni7ltktszwo
-
- Job identifier:
-
iyxc6lotpi2olswe
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
# this is for number of matches
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition
outputs:
highly_sensitive:
cohort: output/input.csv
# this is to generate a date file for each month
# generate_study_population_monthly:
# run: cohortextractor:latest generate_cohort
# --study-definition study_definition_monthly
# --index-date-range "2019-01-01 to today by month"
# --output-dir=output
# --output-format=csv.gz
# outputs:
# highly_sensitive:
# cohort: output/input_*.csv.gz
generate_study_population_measures:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_measures
--index-date-range "2019-01-01 to today by month" --skip-existing
--output-dir=output/measures
--output-format=csv.gz
--param num_days=84
outputs:
highly_sensitive:
cohort: output/measures/input_*.csv.gz
## num_days added to study def measures, converted to integer,
## and added to pn_8wk_present variable in study defs
generate_12wk_cohort:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_measures
--index-date-range "2019-01-01 to today by month" --skip-existing
--output-format csv.gz
--param num_days=84
--output-dir=output/pn12wk
outputs:
highly_sensitive:
cohort: output/pn12wk/input_*.csv.gz
generate_8wk_cohort:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_measures
--index-date-range "2019-01-01 to today by month" --skip-existing
--output-format csv.gz
--param num_days=56
--output-dir=output/pn8wk
outputs:
highly_sensitive:
cohort: output/pn8wk/input_*.csv.gz
generate_6wk_cohort:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_measures
--index-date-range "2019-01-01 to today by month" --skip-existing
--output-format csv.gz
--param num_days=42
--output-dir=output/pn6wk
outputs:
highly_sensitive:
cohort: output/pn6wk/input_*.csv.gz
## generate measures for each param (above)
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition_measures --skip-existing --output-dir=output/measures --param num_days=84
needs: [generate_study_population_measures]
outputs:
moderately_sensitive:
measure_csv: output/measures/measure_*.csv
generate_measures_12wk:
run: cohortextractor:latest generate_measures
--study-definition study_definition_measures
--skip-existing
--output-dir=output/pn12wk
--param num_days=84
needs: [generate_12wk_cohort]
outputs:
moderately_sensitive:
measure_csv: output/pn12wk/measure_*.csv
generate_measures_8wk:
run: cohortextractor:latest generate_measures
--study-definition study_definition_measures
--skip-existing
--output-dir=output/pn8wk
--param num_days=56
needs: [generate_8wk_cohort]
outputs:
moderately_sensitive:
measure_csv: output/pn8wk/measure*.csv
generate_measures_6wk:
run: cohortextractor:latest generate_measures
--study-definition study_definition_measures
--skip-existing
--output-dir=output/pn6wk
--param num_days=42
needs: [generate_6wk_cohort]
outputs:
moderately_sensitive:
measure_csv: output/pn6wk/measure_*.csv
## code frequencies
describe_del_code_freq:
run: r:latest analysis/del_code_frequency.R
needs: [generate_study_population]
outputs:
moderately_sensitive:
hist1: output/del_code_histogram.jpeg
table1: output/table_del_codes.csv
describe_del_code_freq_with_names:
run: r:latest analysis/del_code_frequency_with_names.R
needs: [generate_study_population, describe_del_code_freq]
outputs:
moderately_sensitive:
table1: output/table_del_codes_with_names.csv
describe_del_code_freq_with_names_reduced:
run: r:latest analysis/del_code_frequency_with_names_reduced.R
needs: [generate_study_population, describe_del_code_freq_with_names]
outputs:
moderately_sensitive:
table1: output/table_del_codes_with_names_reduced.csv
describe_pn_code_freq:
run: r:latest analysis/pn_code_frequency.R
needs: [generate_study_population]
outputs:
moderately_sensitive:
table1: output/table_pn_codes.csv
describe_pn_code_freq_with_names:
run: r:latest analysis/pn_code_frequency_with_names.R
needs: [generate_study_population, describe_pn_code_freq]
outputs:
moderately_sensitive:
table1: output/table_pn_codes_with_names.csv
describe_pn_code_freq_with_names_reduced:
run: r:latest analysis/pn_code_frequency_with_names_reduced.R
needs: [generate_study_population, describe_pn_code_freq_with_names]
outputs:
moderately_sensitive:
table1: output/table_pn_codes_with_names_reduced.csv
## rate plots - overall using old code
## hashed out below to check this works as wasnt running on server
describe_pn_rate_plots:
run: r:latest analysis/pn_check_using_measures_overall.R
needs: [generate_study_population_measures, generate_measures]
outputs:
moderately_sensitive:
plot1: output/monthly_pn_rate_measures_overall.jpeg
describe_pn_rate_plots_8wk:
run: r:latest analysis/pn_check_using_measures_8wk.R
needs: [generate_8wk_cohort, generate_measures_8wk]
outputs:
moderately_sensitive:
plot1: output/monthly_pn_rate_measures_8wk.jpeg
## rate plots by category
describe_pn_rate_plots_by_age_cat:
run: r:latest analysis/pn_check_using_measures_by_age_cat.R
needs: [generate_study_population_measures, generate_measures]
outputs:
moderately_sensitive:
plot2: output/monthly_pn_rate_measures8wkcode_by_age_cat.jpeg
#describe_pn_rate_plots_by_age_cat_12/8/6wk etc?
describe_pn_rate_plots_by_ethnicity:
run: r:latest analysis/pn_check_using_measures_by_ethnicity.R
needs: [generate_study_population_measures, generate_measures]
outputs:
moderately_sensitive:
plot3: output/monthly_pn_rate_measures8wkcode_by_ethnicity.jpeg
describe_pn_rate_plots_by_imd:
run: r:latest analysis/pn_check_using_measures_by_imd.R
needs: [generate_study_population_measures, generate_measures]
outputs:
moderately_sensitive:
plot4: output/monthly_pn_rate_measures8wkcode_by_imd.jpeg
describe_pn_rate_plots_by_practice:
run: r:latest analysis/pn_check_using_measures_by_practice.R
needs: [generate_study_population_measures, generate_measures]
outputs:
moderately_sensitive:
plot5: output/monthly_pn_rate_measures8wkcode_by_practice.jpeg
describe_pn_rate_plots_by_practice_8wk:
run: r:latest analysis/pn_check_using_measures_by_practice_8wk.R
needs: [generate_8wk_cohort, generate_measures_8wk]
outputs:
moderately_sensitive:
plot5: output/monthly_pn_rate_measures8wkcode_by_practice_8wk.jpeg
describe_pn_rate_plots_by_region:
run: r:latest analysis/pn_check_using_measures_by_region.R
needs: [generate_study_population_measures, generate_measures]
outputs:
moderately_sensitive:
plot6: output/monthly_pn_rate_measures8wkcode_by_region.jpeg
### Generating baseline tables ###
#################################
# describe_baseline_table:
# run: r:latest analysis/baseline_table.R
# needs: [generate_study_population_measures, generate_measures]
# outputs:
# moderately_sensitive:
# table_overall: output/blt_overall.csv
# table_before: output/blt_before.csv
# table_after: output/blt_after.csv
# table_overall_counts: output/overall_counts.csv
# table_counts_before: output/overall_counts_before.csv
# table_counts_after: output/overall_counts_after.csv
describe_baseline_table_12wk_cohort:
run: r:latest analysis/baseline_table_12wk.R
needs: [generate_12wk_cohort]
outputs:
moderately_sensitive:
table_overall: output/blt_overall_12wk.csv
table_before: output/blt_before_12wk.csv
table_after: output/blt_after_12wk.csv
table_overall_counts: output/overall_counts_12wk.csv
table_counts_before: output/overall_counts_before_12wk.csv
table_counts_after: output/overall_counts_after_12wk.csv
describe_baseline_table_8wk_cohort:
run: r:latest analysis/baseline_table_8wk.R
needs: [generate_8wk_cohort]
outputs:
moderately_sensitive:
table_overall: output/blt_overall_8wk.csv
table_before: output/blt_before_8wk.csv
table_after: output/blt_after_8wk.csv
table_overall_counts: output/overall_counts_8wk.csv
table_counts_before: output/overall_counts_before_8wk.csv
table_counts_after: output/overall_counts_after_8wk.csv
describe_baseline_table_6wk_cohort:
run: r:latest analysis/baseline_table_6wk.R
needs: [generate_6wk_cohort]
outputs:
moderately_sensitive:
table_overall: output/blt_overall_6wk.csv
table_before: output/blt_before_6wk.csv
table_after: output/blt_after_6wk.csv
table_overall_counts: output/overall_counts_6wk.csv
table_counts_before: output/overall_counts_before_6wk.csv
table_counts_after: output/overall_counts_after_6wk.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 01:56:08
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- main_pregnancy_tx_pathways
- Requested by
- Dexter Hayes
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 0a4c63d
- Requested actions
-
-
describe_baseline_table_8wk_cohort
-
describe_baseline_table_6wk_cohort
-
Code comparison
Compare the code used in this Job Request