The CFBT01 table provides an
overview of the actual values and its change from baseline of each respective arm
over the course of the trial.
Usage
cfbt01_main(
adam_db,
dataset,
arm_var = "ACTARM",
lbl_overall = NULL,
row_split_var = NULL,
summaryvars = c("AVAL", "CHG"),
visitvar = "AVISIT",
precision = list(default = 2L),
page_var = "PARAMCD",
.stats = c("n", "mean_sd", "median", "range"),
skip = list(CHG = "BASELINE"),
...
)
cfbt01_pre(adam_db, dataset, ...)
cfbt01_post(tlg, prune_0 = TRUE, ...)
cfbt01Arguments
- adam_db
(
listofdata.frames) object containing theADaMdatasets- dataset
(
string) the name of a table in theadam_dbobject.- arm_var
(
string) variable used for column splitting- lbl_overall
(
string) label used for overall column, if set toNULLthe overall column is omitted- row_split_var
(
character) additional row split variables.- summaryvars
(
character) variables to be analyzed. The label attribute of the corresponding column in table ofadam_dbis used as label.- visitvar
(
string) typically one of"AVISIT"or user-defined visit incorporating"ATPT".- precision
(named
listofinteger) where names are values found in thePARAMCDcolumn and the values indicate the number of digits in statistics. Ifdefaultis set, and parameter precision not specified, the value fordefaultwill be used.- page_var
(
string) variable name prior to which the row split is by page.- .stats
(
character) statistics names, seetern::analyze_vars().- skip
Named (
list) of visit values that need to be inhibited.- ...
additional arguments like
.indent_mods,.labels.- tlg
(
TableTree,Listingorggplot) object typically produced by amainfunction.- prune_0
(
flag) remove 0 count rows
Value
the main function returns an rtables object.
the preprocessing function returns a list of data.frame.
the postprocessing function returns an rtables object or an ElementaryTable (null report).
Details
The
Analysis Valuecolumn, displays the number of patients, the mean, standard deviation, median and range of the analysis value for each visit.The
Change from Baselinecolumn, displays the number of patient and the mean, standard deviation, median and range of changes relative to the baseline.Remove zero-count rows unless overridden with
prune_0 = FALSE.Split columns by arm, typically
ACTARM.Does not include a total column by default.
Sorted based on factor level; first by
PARAMlabels in alphabetic order then by chronological time point given byAVISIT. Re-level to customize order
Functions
cfbt01_main(): Main TLG functioncfbt01_pre(): Preprocessingcfbt01_post(): Postprocessing
Examples
library(dunlin)
proc_data <- log_filter(
syn_data,
PARAMCD %in% c("DIABP", "SYSBP"), "advs"
)
run(cfbt01, proc_data, dataset = "advs")
#> A: Drug X B: Placebo C: Combination
#> Change from Change from Change from
#> Value at Visit Baseline Value at Visit Baseline Value at Visit Baseline
#> Analysis Visit (N=15) (N=15) (N=15) (N=15) (N=15) (N=15)
#> ————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————————
#> Diastolic Blood Pressure
#> SCREENING
#> n 15 0 15 0 15 0
#> Mean (SD) 47.754 (6.827) NE (NE) 52.552 (8.234) NE (NE) 52.587 (5.051) NE (NE)
#> Median 47.973 NE 54.453 NE 53.344 NE
#> Min - Max 32.28 - 58.80 NE - NE 34.09 - 62.76 NE - NE 43.31 - 60.87 NE - NE
#> BASELINE
#> n 15 15 15
#> Mean (SD) 48.453 (8.983) 53.244 (6.030) 51.260 (7.901)
#> Median 47.331 53.581 51.140
#> Min - Max 34.23 - 64.64 43.38 - 62.65 36.42 - 64.62
#> WEEK 1 DAY 8
#> n 15 15 15 15 15 15
#> Mean (SD) 49.591 (8.543) 1.138 (11.242) 51.644 (6.469) -1.601 (8.747) 50.330 (7.611) -0.929 (10.007)
#> Median 46.979 -1.626 53.081 1.291 51.223 -0.990
#> Min - Max 37.02 - 62.15 -13.13 - 19.07 38.36 - 63.15 -21.18 - 11.45 38.02 - 61.47 -22.06 - 16.72
#> WEEK 2 DAY 15
#> n 15 15 15 15 15 15
#> Mean (SD) 49.903 (5.791) 1.450 (8.476) 48.989 (6.919) -4.255 (8.332) 47.709 (6.784) -3.551 (10.892)
#> Median 50.599 0.692 49.800 -3.891 48.715 -4.062
#> Min - Max 38.79 - 59.12 -15.80 - 19.03 31.52 - 60.32 -22.06 - 10.10 35.38 - 56.99 -29.24 - 18.62
#> WEEK 3 DAY 22
#> n 15 15 15 15 15 15
#> Mean (SD) 49.640 (10.443) 1.187 (13.731) 46.794 (6.770) -6.451 (8.753) 47.834 (5.424) -3.425 (8.685)
#> Median 50.458 -0.109 46.497 -5.754 49.359 -6.430
#> Min - Max 29.07 - 74.89 -19.15 - 30.66 37.12 - 57.89 -21.22 - 9.01 39.40 - 56.17 -15.16 - 13.06
#> WEEK 4 DAY 29
#> n 15 15 15 15 15 15
#> Mean (SD) 51.360 (8.909) 2.907 (12.296) 48.587 (7.780) -4.657 (10.369) 53.335 (7.367) 2.075 (8.753)
#> Median 49.267 1.004 48.954 -6.717 53.022 3.186
#> Min - Max 35.24 - 69.30 -15.37 - 24.76 35.34 - 62.63 -22.84 - 19.25 37.51 - 63.01 -13.58 - 16.60
#> WEEK 5 DAY 36
#> n 15 15 15 15 15 15
#> Mean (SD) 47.289 (7.415) -1.164 (11.549) 49.156 (8.281) -4.088 (11.037) 48.127 (6.561) -3.133 (7.931)
#> Median 46.319 -1.354 49.620 -4.528 47.550 -1.866
#> Min - Max 35.42 - 65.64 -19.45 - 18.94 37.79 - 65.06 -21.75 - 15.14 38.76 - 65.42 -17.79 - 11.64
#> Systolic Blood Pressure
#> SCREENING
#> n 15 0 15 0 15 0
#> Mean (SD) 50.524 (9.964) NE (NE) 48.742 (9.375) NE (NE) 53.448 (7.713) NE (NE)
#> Median 48.432 NE 49.563 NE 55.800 NE
#> Min - Max 37.54 - 70.85 NE - NE 33.15 - 61.19 NE - NE 35.15 - 65.39 NE - NE
#> BASELINE
#> n 15 15 15
#> Mean (SD) 48.917 (8.422) 52.206 (7.663) 44.329 (6.177)
#> Median 47.976 50.399 43.480
#> Min - Max 35.92 - 63.83 36.85 - 69.87 35.88 - 55.61
#> WEEK 1 DAY 8
#> n 15 15 15 15 15 15
#> Mean (SD) 49.034 (7.281) 0.118 (12.328) 49.648 (7.885) -2.558 (10.315) 49.845 (10.051) 5.516 (8.410)
#> Median 45.853 -2.350 49.750 -4.912 50.426 7.279
#> Min - Max 38.46 - 62.80 -18.78 - 19.87 37.12 - 62.87 -17.67 - 16.38 32.64 - 63.18 -11.55 - 21.18
#> WEEK 2 DAY 15
#> n 15 15 15 15 15 15
#> Mean (SD) 50.697 (10.111) 1.781 (11.712) 48.917 (6.464) -3.289 (12.641) 44.922 (7.731) 0.593 (8.516)
#> Median 48.793 2.483 48.304 -1.084 46.824 2.724
#> Min - Max 33.60 - 64.41 -20.66 - 23.99 32.77 - 57.63 -37.10 - 15.27 29.39 - 61.47 -18.72 - 13.40
#> WEEK 3 DAY 22
#> n 15 15 15 15 15 15
#> Mean (SD) 47.129 (8.417) -1.787 (10.523) 44.842 (9.839) -7.365 (12.156) 52.240 (6.714) 7.911 (9.955)
#> Median 47.910 -1.677 44.495 -4.628 52.734 7.321
#> Min - Max 33.85 - 59.67 -19.31 - 14.54 15.58 - 58.38 -35.56 - 11.49 40.87 - 64.82 -9.47 - 22.94
#> WEEK 4 DAY 29
#> n 15 15 15 15 15 15
#> Mean (SD) 50.984 (9.702) 2.068 (12.168) 50.001 (10.412) -2.206 (11.420) 51.404 (8.276) 7.075 (10.011)
#> Median 51.783 4.255 51.045 1.095 55.334 6.775
#> Min - Max 38.70 - 66.08 -15.94 - 20.88 33.06 - 67.92 -21.01 - 19.90 32.28 - 60.16 -15.84 - 24.23
#> WEEK 5 DAY 36
#> n 15 15 15 15 15 15
#> Mean (SD) 48.748 (9.820) -0.169 (11.595) 47.553 (7.967) -4.653 (11.661) 51.113 (7.249) 6.784 (9.493)
#> Median 47.844 0.827 46.869 -1.284 51.106 8.107
#> Min - Max 29.55 - 69.66 -18.39 - 18.76 35.50 - 63.63 -27.59 - 13.23 34.27 - 60.01 -14.02 - 21.11