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project.yaml
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project.yaml
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version: '3.0'
expectations:
population_size: 100000
actions:
# Extract data
# When argument --index-date-range is changed, change has to be made in ./analysis/config.json too
generate_study_population:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition
--skip-existing
--output-format=csv.gz
--index-date-range "2020-03-01 to 2022-02-01 by month"
outputs:
highly_sensitive:
cohort: output/input_*.csv.gz
# Extract ethnicity
generate_study_population_ethnicity:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_ethnicity
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_ethnicity.csv.gz
# Join data
join_cohorts:
run: >
cohort-joiner:v0.0.7
--lhs output/input_202*.csv.gz
--rhs output/input_ethnicity.csv.gz
--output-dir=output/joined
needs: [generate_study_population, generate_study_population_ethnicity]
outputs:
highly_sensitive:
cohort: output/joined/input_202*.csv.gz
# Calculate mortality rates (crude + subgroup specific)
calculate_measures:
run: >
cohortextractor:latest generate_measures
--study-definition study_definition
--skip-existing
--output-dir=output/joined
needs: [join_cohorts]
outputs:
moderately_sensitive:
measure: output/joined/measure_*_mortality_rate.csv
# Calculate mortality rates ckd_rrt subgroup
calculate_measures_ckd_rrt:
run: r:latest analysis/measures_calc_ckd_rrt.R
needs: [join_cohorts]
outputs:
moderately_sensitive:
measure: output/joined/measure_ckd_rrt_mortality_rate.csv
# Redact rates
redact_rates:
run: r:latest analysis/utils/redact_rates.R
needs: [calculate_measures, calculate_measures_ckd_rrt]
outputs:
moderately_sensitive:
csvs: output/rates/redacted/*_redacted.csv
# Standardise crude mortality rate
standardise_crude_rates:
run: r:latest analysis/crude_rates_standardise.R
needs: [redact_rates]
outputs:
moderately_sensitive:
csvs: output/rates/standardised/crude_*std.csv
# Standardise subgroup specific mortality rates
standardise_subgroup_rates:
run: r:latest analysis/subgroups_rates_standardise.R
needs: [redact_rates]
outputs:
moderately_sensitive:
csvs: output/rates/standardised/*_std.csv
# Process subgroup specific mortality rates
process_subgroup_rates:
run: r:latest analysis/utils/process_rates.R
needs: [standardise_subgroup_rates, standardise_subgroup_rates]
outputs:
moderately_sensitive:
csvs: output/rates/processed/*.csv
# Calculate standardised rate ratios
calculate_rate_ratios:
run: r:latest analysis/subgroups_ratios.R
needs: [standardise_subgroup_rates, process_subgroup_rates]
outputs:
moderately_sensitive:
csvs: output/ratios/*.csv
# Plot and save graphs depicting the crude rates
visualise_crude_rates:
run: r:latest analysis/crude_rates_visualise.R
needs: [standardise_crude_rates]
outputs:
moderately_sensitive:
pngs: output/figures/rates_crude/*.png
# Plot and save graphs depicting the subgroup specific mortality rates
visualise_subgroup_rates:
run: r:latest analysis/subgroups_rates_visualise.R
needs: [standardise_subgroup_rates, process_subgroup_rates]
outputs:
moderately_sensitive:
pngs: output/figures/rates_subgroups/*.png
# Plot and save graphs depicting the subgroup specific mortality ratios
visualise_subgroup_ratios:
run: r:latest analysis/subgroups_ratios_visualise.R
needs: [calculate_rate_ratios]
outputs:
moderately_sensitive:
pngs: output/figures/ratios_subgroups/*.png
# SECOND PART OF STUDY
generate_study_population_flowchart:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_flowchart
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_flowchart.csv.gz
generate_study_population_flowchart2:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_flowchart2
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_flowchart2.csv.gz
generate_study_population_flowchart3:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_flowchart3
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_flowchart3.csv.gz
generate_study_population_flowchart4:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_flowchart4
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_flowchart4.csv.gz
generate_study_population_flowchart5:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_flowchart5
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_flowchart5.csv.gz
# Process data flowchart
process_data_flowchart:
run: r:latest analysis/data_flowchart_process.R
needs: [generate_study_population_flowchart, generate_study_population_flowchart2, generate_study_population_flowchart3, generate_study_population_flowchart4, generate_study_population_flowchart5]
outputs:
highly_sensitive:
rds1: output/processed/input_flowchart_wave1.rds
rds2: output/processed/input_flowchart_wave2.rds
rds3: output/processed/input_flowchart_wave3.rds
rds4: output/processed/input_flowchart_wave4.rds
rds5: output/processed/input_flowchart_wave5.rds
# Skim data flowchart
skim_data_flowchart:
run: r:latest analysis/data_skim.R output/processed/input_flowchart_wave1.rds output/data_properties
needs: [process_data_flowchart]
outputs:
moderately_sensitive:
txt1: output/data_properties/input_flowchart_wave1_skim.txt
txt2: output/data_properties/input_flowchart_wave1_coltypes.txt
txt3: output/data_properties/input_flowchart_wave1_tabulate.txt
# Numbers for flowchart
calc_numbers_flowchart_wave1:
run: r:latest analysis/flowchart.R wave1 output/tables/flowchart
needs: [process_data_flowchart]
outputs:
moderately_sensitive:
cohort: output/tables/flowchart/wave1_flowchart.csv
# Numbers for flowchart
calc_numbers_flowchart_wave2:
run: r:latest analysis/flowchart.R wave2 output/tables/flowchart
needs: [process_data_flowchart]
outputs:
moderately_sensitive:
cohort: output/tables/flowchart/wave2_flowchart.csv
# Numbers for flowchart
calc_numbers_flowchart_wave3:
run: r:latest analysis/flowchart.R wave3 output/tables/flowchart
needs: [process_data_flowchart]
outputs:
moderately_sensitive:
cohort: output/tables/flowchart/wave3_flowchart.csv
# Numbers for flowchart
calc_numbers_flowchart_wave4:
run: r:latest analysis/flowchart.R wave4 output/tables/flowchart
needs: [process_data_flowchart]
outputs:
moderately_sensitive:
cohort: output/tables/flowchart/wave4_flowchart.csv
# Numbers for flowchart
calc_numbers_flowchart_wave5:
run: r:latest analysis/flowchart.R wave5 output/tables/flowchart
needs: [process_data_flowchart]
outputs:
moderately_sensitive:
cohort: output/tables/flowchart/wave5_flowchart.csv
generate_study_population_wave1:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_wave1
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_wave1.csv.gz
generate_study_population_wave2:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_wave2
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_wave2.csv.gz
generate_study_population_wave3:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_wave3
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_wave3.csv.gz
generate_study_population_wave4:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_wave4
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_wave4.csv.gz
generate_study_population_wave5:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_wave5
--skip-existing
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_wave5.csv.gz
# Join data
join_cohorts_waves:
run: >
cohort-joiner:v0.0.7
--lhs output/input_wave*.csv.gz
--rhs output/input_ethnicity.csv.gz
--output-dir=output/joined
needs: [generate_study_population_wave1, generate_study_population_wave2, generate_study_population_wave3, generate_study_population_wave4, generate_study_population_wave5, generate_study_population_ethnicity]
outputs:
highly_sensitive:
cohort: output/joined/input_wave*.csv.gz
# Process data
process_data_wave1:
run: r:latest analysis/data_process.R wave1
needs: [join_cohorts_waves]
outputs:
highly_sensitive:
rds: output/processed/input_wave1.rds
process_data_wave2:
run: r:latest analysis/data_process.R wave2
needs: [join_cohorts_waves]
outputs:
highly_sensitive:
rds: output/processed/input_wave2.rds
process_data_wave3:
run: r:latest analysis/data_process.R wave3
needs: [join_cohorts_waves]
outputs:
highly_sensitive:
rds: output/processed/input_wave3.rds
process_data_wave4:
run: r:latest analysis/data_process.R wave4
needs: [join_cohorts_waves]
outputs:
highly_sensitive:
rds: output/processed/input_wave4.rds
process_data_wave5:
run: r:latest analysis/data_process.R wave5
needs: [join_cohorts_waves]
outputs:
highly_sensitive:
rds: output/processed/input_wave5.rds
# Skim data
skim_data_wave1:
run: r:latest analysis/data_skim.R output/processed/input_wave1.rds output/data_properties
needs: [process_data_wave1]
outputs:
moderately_sensitive:
txt1: output/data_properties/input_wave1_skim.txt
txt2: output/data_properties/input_wave1_coltypes.txt
txt3: output/data_properties/input_wave1_tabulate.txt
skim_data_wave2:
run: r:latest analysis/data_skim.R output/processed/input_wave2.rds output/data_properties
needs: [process_data_wave2]
outputs:
moderately_sensitive:
txt1: output/data_properties/input_wave2_skim.txt
txt2: output/data_properties/input_wave2_coltypes.txt
txt3: output/data_properties/input_wave2_tabulate.txt
skim_data_wave3:
run: r:latest analysis/data_skim.R output/processed/input_wave3.rds output/data_properties
needs: [process_data_wave3]
outputs:
moderately_sensitive:
txt1: output/data_properties/input_wave3_skim.txt
txt2: output/data_properties/input_wave3_coltypes.txt
txt3: output/data_properties/input_wave3_tabulate.txt
skim_data_wave4:
run: r:latest analysis/data_skim.R output/processed/input_wave4.rds output/data_properties
needs: [process_data_wave4]
outputs:
moderately_sensitive:
txt1: output/data_properties/input_wave4_skim.txt
txt2: output/data_properties/input_wave4_coltypes.txt
txt3: output/data_properties/input_wave4_tabulate.txt
skim_data_wave5:
run: r:latest analysis/data_skim.R output/processed/input_wave5.rds output/data_properties
needs: [process_data_wave5]
outputs:
moderately_sensitive:
txt1: output/data_properties/input_wave5_skim.txt
txt2: output/data_properties/input_wave5_coltypes.txt
txt3: output/data_properties/input_wave5_tabulate.txt
# Missings in bmi, ethnicity and smoking
calc_missings:
run: r:latest analysis/calc_missings.R
needs: [process_data_wave1, process_data_wave2, process_data_wave3, process_data_wave4, process_data_wave5]
outputs:
moderately_sensitive:
csvs: output/tables/missings/waves_missings.csv
# Incidence rates (crude)
calc_irs:
run: r:latest analysis/waves_irs.R
needs: [process_data_wave1, process_data_wave2, process_data_wave3, process_data_wave4, process_data_wave5]
outputs:
moderately_sensitive:
csvs: output/tables/wave*_ir.csv
csv: output/tables/ir_crude.csv
# Create table one
create_table_one:
run: r:latest analysis/table_one.R
needs: [process_data_wave1, process_data_wave2, process_data_wave3, process_data_wave4, process_data_wave5, calc_irs]
outputs:
moderately_sensitive:
csv: output/tables/table1.csv
# Incidence rates (crude)
calc_irs_std:
run: r:latest analysis/waves_std_irs.R
needs: [process_data_wave1, process_data_wave2, process_data_wave3, process_data_wave4, process_data_wave5]
outputs:
moderately_sensitive:
csvs: output/tables/wave*_ir_std.csv
# Create table A1 (table with IRs)
create_table_A1:
run: r:latest analysis/table_A1.R
needs: [calc_irs, calc_irs_std]
outputs:
moderately_sensitive:
csv: output/tables/table_A1.csv
# Kaplan-Meier
create_kaplan_meier:
run: r:latest analysis/waves_kaplan_meier.R
needs: [process_data_wave1, process_data_wave2, process_data_wave3, process_data_wave4, process_data_wave5]
outputs:
moderately_sensitive:
pngs: output/figures/kaplan_meier/wave*_*.png
# COX ph models
model_cox_ph_wave1:
run: r:latest analysis/waves_model_survival.R wave1 output/tables
needs: [process_data_wave1]
outputs:
moderately_sensitive:
csvs1: output/tables/wave1_effect_estimates.csv
csvs2: output/tables/wave1_ph_tests.csv
csvs3: output/tables/wave1_log_file.csv
model_cox_ph_wave2:
run: r:latest analysis/waves_model_survival.R wave2 output/tables
needs: [process_data_wave2]
outputs:
moderately_sensitive:
csvs1: output/tables/wave2_effect_estimates.csv
csvs2: output/tables/wave2_ph_tests.csv
csvs3: output/tables/wave2_log_file.csv
model_cox_ph_wave3:
run: r:latest analysis/waves_model_survival.R wave3 output/tables
needs: [process_data_wave3]
outputs:
moderately_sensitive:
csvs1: output/tables/wave3_effect_estimates.csv
csvs2: output/tables/wave3_ph_tests.csv
csvs3: output/tables/wave3_log_file.csv
model_cox_ph_wave4:
run: r:latest analysis/waves_model_survival.R wave4 output/tables
needs: [process_data_wave4]
outputs:
moderately_sensitive:
csvs1: output/tables/wave4_effect_estimates.csv
csvs2: output/tables/wave4_ph_tests.csv
csvs3: output/tables/wave4_log_file.csv
model_cox_ph_wave5:
run: r:latest analysis/waves_model_survival.R wave5 output/tables
needs: [process_data_wave5]
outputs:
moderately_sensitive:
csvs1: output/tables/wave5_effect_estimates.csv
csvs2: output/tables/wave5_ph_tests.csv
csvs3: output/tables/wave5_log_file.csv
# Create table two
create_table_two:
run: r:latest analysis/table_two.R
needs: [model_cox_ph_wave1, model_cox_ph_wave2, model_cox_ph_wave3, model_cox_ph_wave4, model_cox_ph_wave5]
outputs:
moderately_sensitive:
csv: output/tables/table2.csv
# Tidy absrisks (IRs) for viz
tidy_absrisks_for_viz:
run: r:latest analysis/absrisks_tidy_for_viz.R
needs: [calc_irs, calc_irs_std]
outputs:
moderately_sensitive:
csv: output/tables/absrisks_for_viz_tidied.csv
# Tidy relrisks (HRs) for viz
tidy_relrisks_for_viz:
run: r:latest analysis/relrisks_tidy_for_viz.R
needs: [model_cox_ph_wave1, model_cox_ph_wave2, model_cox_ph_wave3, model_cox_ph_wave4, model_cox_ph_wave5]
outputs:
moderately_sensitive:
csv: output/tables/relrisks_for_viz_tidied.csv
# Vaccine data
vax_analysis:
run: r:latest analysis/waves_vax_coverage.R
needs: [process_data_wave1, process_data_wave2, process_data_wave3, process_data_wave4, process_data_wave5]
outputs:
moderately_sensitive:
csv1: output/tables/vax/wave*_vax_*.csv
# Pos test x covid mort
describe_pos_tests:
run: r:latest analysis/waves_pos_tests.R
needs: [process_data_wave1, process_data_wave2, process_data_wave3, process_data_wave4, process_data_wave5]
outputs:
moderately_sensitive:
csv: output/tables/pos_test_in_covid_deaths.csv
# Wave-specific HR plots
# plot_relrisks:
# run: r:latest -e 'rmarkdown::render("analysis/wave_HRs.Rmd", knit_root_dir = "/workspace", output_dir="/workspace/output/markdown")'
# needs: [tidy_relrisks_for_viz]
# outputs:
# moderately_sensitive:
# csv: output/markdown/wave_HRs.html