Job request: 9820
This page shows the technical details of what happened when authorised researcher Will Hulme 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
various outputs were written to. Outputs marked as
can never be viewed directly by a researcher; they can only
request that code runs against them. Outputs marked as
can be viewed by an approved researcher by logging into a highly
secure environment. Only outputs marked as
can be requested for release to the public, via a controlled
output review service.
version: '3.0' expectations: population_size: 2000 actions: generate_cohort: run: cohortextractor:latest generate_cohort --study-definition study_definition_cohort outputs: highly_sensitive: cohort: output/input_cohort.csv count_by_strata: run: python:latest python analysis/all_time_counts.py needs: [generate_cohort] outputs: moderately_sensitive: table: output/counts_table.csv practice_distribution: output/practice_distribution.csv per_week: output/code_use_per_week_long_covid.csv per_week_pvf: output/code_use_per_week_post_viral_fatigue.csv code_table: output/all_long_covid_codes.csv practice_summ: output/practice_summ.txt # # to be run locally generate_report_notebook: run: jupyter:latest jupyter nbconvert /workspace/analysis/long_covid_coding_report.ipynb --execute --to html --output-dir=/workspace/released_outputs --ExecutePreprocessor.timeout=86400 --no-input outputs: moderately_sensitive: notebook: released_outputs/long_covid_coding_report.html
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