A: Drug X B: Placebo C: Combination
Parameter Change from Change from Change from
Analysis Visit Value at Visit Baseline Value at Visit Baseline Value at Visit Baseline
———————————————————————————————————————————————————————————————————————————————————————————————————————————————————————
BFI All Questions
BASELINE
n 134 134 132
Mean (SD) 49.93 (7.44) 49.74 (8.29) 50.30 (9.06)
Median 48.69 49.28 49.74
Min - Max 33.72 - 65.91 25.82 - 71.47 26.04 - 69.99
WEEK 1 DAY 8
n 134 134 134 134 132 132
Mean (SD) 54.51 (8.61) 4.58 (11.23) 56.33 (7.86) 6.59 (11.81) 54.03 (8.31) 3.72 (12.66)
Median 55.15 5.47 56.39 6.96 53.76 3.71
Min - Max 34.26 - 75.42 -25.52 - 29.68 36.82 - 74.45 -25.10 - 31.05 26.89 - 75.95 -26.81 - 33.75
WEEK 2 DAY 15
n 134 134 134 134 132 132
Mean (SD) 60.98 (10.31) 11.05 (12.46) 59.68 (9.59) 9.94 (12.84) 60.11 (8.76) 9.80 (12.59)
Median 60.60 10.45 58.18 8.95 61.08 10.04
Min - Max 35.94 - 96.53 -14.02 - 45.01 40.44 - 84.70 -17.59 - 40.52 32.76 - 78.25 -26.57 - 39.56
WEEK 3 DAY 22
n 134 134 134 134 132 132
Mean (SD) 64.64 (9.88) 14.72 (11.99) 65.78 (10.17) 16.04 (13.80) 63.65 (10.50) 13.35 (13.39)
Median 65.21 15.10 66.28 15.49 63.79 12.24
Min - Max 40.49 - 95.35 -16.76 - 43.40 42.16 - 92.32 -17.70 - 46.85 29.29 - 88.41 -22.40 - 39.94
WEEK 4 DAY 29
n 134 134 134 134 132 132
Mean (SD) 69.43 (11.12) 19.51 (13.83) 69.79 (11.46) 20.05 (14.38) 70.68 (10.23) 20.37 (12.99)
Median 69.22 19.90 70.37 20.99 70.85 20.94
Min - Max 38.38 - 95.48 -17.34 - 49.18 45.79 - 93.33 -19.66 - 58.05 30.53 - 90.61 -14.01 - 60.23
WEEK 5 DAY 36
n 134 134 134 134 132 132
Mean (SD) 74.31 (12.44) 24.38 (14.75) 74.73 (12.96) 24.99 (14.67) 75.89 (13.54) 25.59 (17.18)
Median 76.12 25.20 74.13 22.81 76.70 25.32
Min - Max 39.45 - 103.92 -7.53 - 56.23 38.19 - 109.61 -18.42 - 64.15 43.79 - 102.40 -16.11 - 67.78
Experimental use!
WebR is a tool allowing you to run R code in the web browser. Modify the code below and click run to see the results. Alternatively, copy the code and click here to open WebR in a new tab.
Code
library(tern)library(dplyr)adsl <- random.cdisc.data::cadsladqs <- random.cdisc.data::cadqs# Ensure character variables are converted to factors and empty strings and NAs are explicit missing levels.adsl <-df_explicit_na(adsl)adqs <-df_explicit_na(adqs)# This example focuses on "BFI All Questions" starting from baseline.adqs <- adqs %>% dplyr::filter( PARAM =="BFI All Questions", AVISIT !="SCREENING" )# Define the split function for AVISITsplit_fun <- drop_split_levels
library(teal.modules.clinical)## Data reproducible codedata <-teal_data()data <-within(data, { ADSL <- random.cdisc.data::cadsl ADQS <- random.cdisc.data::cadqs# Ensure character variables are converted to factors and empty strings and NAs are explicit missing levels. ADSL <-df_explicit_na(ADSL) ADQS <-df_explicit_na(ADQS)})datanames <-c("ADSL", "ADQS")datanames(data) <- datanamesjoin_keys(data) <- default_cdisc_join_keys[datanames]## Reusable Configuration For ModulesADSL <- data[["ADSL"]]ADQS <- data[["ADQS"]]## Setup Appapp <-init(data = data,modules =modules(tm_t_summary_by(label ="Efficacy Data and Change from Baseline by Visit",dataname ="ADQS",arm_var =choices_selected(choices =variable_choices(ADSL, c("ARM", "ARMCD")),selected ="ARM" ),by_vars =choices_selected(choices =variable_choices(ADQS, c("PARAM", "AVISIT")),selected =c("AVISIT") ),summarize_vars =choices_selected(choices =variable_choices(ADQS, c("AVAL", "CHG")),selected =c("AVAL", "CHG") ),useNA ="ifany",paramcd =choices_selected(choices =value_choices(ADQS, "PARAMCD", "PARAM"),selected ="BFIALL" ),add_total =FALSE,parallel_vars =TRUE ) ),filter =teal_slices(teal_slice("ADQS", "AVISIT", selected =NULL),teal_slice("ADQS", "AVAL", selected =NULL) ))shinyApp(app$ui, app$server)
Experimental use!
shinylive allow you to modify to run shiny application entirely in the web browser. Modify the code below and click re-run the app to see the results. The performance is slighly worse and some of the features (e.g. downloading) might not work at all.
