@@ -5,38 +5,15 @@ expectations:
55 population_size : 1000
66
77actions :
8- generate_dm_reg_atamborska :
9- run : ehrql:v1
10- generate-dataset analysis/dm_reg_dataset_atamborska.py
11- --output output/dm/dm_reg_atamborska.csv.gz
12- outputs :
13- highly_sensitive :
14- dataset : output/dm/dm_reg_atamborska.csv.gz
15-
16- generate_registry_dm_jaidip :
17- run : ehrql:v1 generate-dataset analysis/dm_reg_dataset_jaidip_gill.py --output output/dm/registry_dm_jaidip.csv.gz
18- outputs :
19- highly_sensitive :
20- dataset : output/dm/registry_dm_jaidip.csv.gz
21-
228 generate_hyp_reg_dataset :
239 run : >
2410 ehrql:v1
2511 generate-dataset analysis/hyp_reg_dataset.py
2612 --test-data-file analysis/test_hyp_reg_dataset.py
27- --output output/hyp/hyp001_viveck .csv.gz
13+ --output output/hyp/hyp001 .csv.gz
2814 outputs :
2915 highly_sensitive :
30- cohort : output/hyp/hyp001_viveck.csv.gz
31-
32- generate_dm_reg_dataset_viveck :
33- run : >
34- ehrql:v1
35- generate-dataset analysis/dm_reg_dataset_viveck.py
36- --output output/dm/dm017_viveck.csv.gz
37- outputs :
38- highly_sensitive :
39- cohort : output/dm/dm017_viveck.csv.gz
16+ cohort : output/hyp/hyp001.csv.gz
4017
4118 generate_dm_reg_dataset_milan :
4219 run : >
@@ -48,32 +25,6 @@ actions:
4825 highly_sensitive :
4926 cohort : output/dm/dm017_milan.csv.gz
5027
51- generate_dem_reg_measures :
52- run : >
53- ehrql:v1
54- generate-measures analysis/dem_reg_measures.py
55- --output output/dem/dem_reg_measures.csv
56- outputs :
57- moderately_sensitive :
58- dem_reg_measures : output/dem/dem_reg_measures.csv
59-
60- visualise_dem_rates :
61- run : >
62- r:latest
63- analysis/dem_reg_plots.R
64- --output output/dem/dem_reg_rates.png
65- --output output/dem/dem_reg_rates_imd.png
66- needs : [generate_dem_reg_measures]
67- outputs :
68- moderately_sensitive :
69- dem_reg_rates_unstratified : output/dem/dem_reg_rates.png
70- dem_reg_rates_imd : output/dem/dem_reg_rates_imd.png
71-
72- generate_dep_reg_measures_jaidip :
73- run : ehrql:v1 generate-measures analysis/dep_reg_measures_jaidip.py --output output/dep/dep_jaidip.csv.gz
74- outputs :
75- highly_sensitive :
76- measure : output/dep/dep_jaidip.csv.gz
7728 generate_dep_reg_dataset :
7829 run : ehrql:v1 generate-dataset analysis/dep_reg_dataset.py --output output/dep/dep_reg_dataset.csv.gz
7930 outputs :
0 commit comments