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oxford-pharmacoepi
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THIN_incidence_prevalence_colorectal_cancer
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"Y axis" plots
#21
patripedregal
opened
1 week ago
0
update table 1 comorbs
#20
daniellenewby
opened
1 month ago
0
remove prevalence from study
#19
daniellenewby
opened
1 month ago
0
should we include prevalence results?
#18
daniellenewby
closed
1 month ago
4
remove survival code from study
#17
daniellenewby
opened
1 month ago
0
remove dsr package for age standardization
#16
daniellenewby
opened
1 month ago
1
check start dates for databases
#15
daniellenewby
opened
1 month ago
0
make sure small sample numbers are suppressed for inc/prev counts < 5
#14
daniellenewby
opened
3 months ago
1
update figures in shiny to make them publication ready
#13
daniellenewby
opened
3 months ago
0
tidy up shiny names for outcome_cohort_name
#12
daniellenewby
opened
3 months ago
0
review comorbs for characterisation table 1 and if others are wanted for study
#11
daniellenewby
opened
3 months ago
10
remove filter for diagnosis year in characterisation for demographics/medications/comorbs
#10
daniellenewby
opened
3 months ago
1
matched cohort characteristics comparison code to be implemented
#9
daniellenewby
opened
3 months ago
1
review medications for characterisation and if others are wanted for study
#8
daniellenewby
opened
3 months ago
1
check shiny inputs for outcome_cohort_name for demographics
#7
daniellenewby
opened
3 months ago
0
add age standardization for prevalence to shiny
#6
daniellenewby
opened
3 months ago
1
add age standardization to analyical code for prevalence
#5
daniellenewby
opened
3 months ago
1
to remove the filters to grab the participants from incidenceprevalence and do it directly
#4
daniellenewby
opened
3 months ago
1
remove filters for survival analysis
#3
daniellenewby
closed
1 month ago
1
remove characterising by year of diagnosis for characterisation.R
#2
daniellenewby
opened
3 months ago
1
Code review for repo
#1
daniellenewby
opened
3 months ago
0