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DMT01 Table 1 (Default) Demographics and Baseline Characteristics Table 1.

dmt01.Rd

For each variable, summary statistics are by default based on the number of patients in the corresponding n row.

Usage 

dmt01_main(
  adam_db,
  arm_var = "ARM",
  lbl_overall = "All {Patient_label}",
  summaryvars = c("AAGE", "AGEGR1", "SEX", "ETHNIC", "RACE"),
  ...
)

dmt01_pre(adam_db, ...)

dmt01_post(tlg, prune_0 = TRUE, ...)

dmt01

Format

An object of class chevron_t of length 1.

Arguments

adam_db

(list of data.frames) object containing the ADaM datasets

arm_var

(string) variable used for column splitting

lbl_overall

(string) label used for overall column, if set to NULL the overall column is omitted

summaryvars

(character) variables summarized in demographic table. The label attribute of the corresponding column in adsl table of adam_db is used as label.

...

not used.

tlg

(TableTree, Listing or ggplot) object typically produced by a main function.

prune_0

(flag) remove 0 count rows

Details

  • Information from ADSUB are generally included into ADSL before analysis.

  • Default demographic and characteristics table

  • If not specified otherwise, numbers represent absolute numbers of patients and fraction of N

  • Remove zero-count rows

  • Split columns by arm (planned or actual / code or description)

  • Include a total column by default

Functions

  • dmt01_main(): Main TLG function

  • dmt01_pre(): Preprocessing

  • dmt01_post(): Postprocessing

Note

  • adam_db object must contain an adsl table with the columns specified in summaryvars.

Examples 

run(dmt01, syn_data)
#>                                         A: Drug X    B: Placebo    C: Combination   All Patients
#>                                          (N=134)       (N=134)        (N=132)         (N=400)   
#>   ——————————————————————————————————————————————————————————————————————————————————————————————
#>   Age (yr)                                                                                      
#>     n                                      134           134            132             400     
#>     Mean (SD)                          33.8 (6.6)    35.4 (7.9)      35.4 (7.7)      34.9 (7.4) 
#>     Median                                33.0          35.0            35.0            34.0    
#>     Min - Max                          21.0 - 50.0   21.0 - 62.0    20.0 - 69.0     20.0 - 69.0 
#>   Age Group                                                                                     
#>     n                                      134           134            132             400     
#>     <65                                134 (100%)    134 (100%)     131 (99.2%)     399 (99.8%) 
#>     >=65                                    0             0           1 (0.8%)        1 (0.2%)  
#>   Sex                                                                                           
#>     n                                      134           134            132             400     
#>     Male                               55 (41.0%)    52 (38.8%)      62 (47.0%)     169 (42.2%) 
#>     Female                             79 (59.0%)    82 (61.2%)      70 (53.0%)     231 (57.8%) 
#>   Ethnicity                                                                                     
#>     n                                      134           134            132             400     
#>     NOT REPORTED                        6 (4.5%)      10 (7.5%)      11 (8.3%)       27 (6.8%)  
#>     HISPANIC OR LATINO                 15 (11.2%)    18 (13.4%)      15 (11.4%)      48 (12.0%) 
#>     NOT HISPANIC OR LATINO             104 (77.6%)   103 (76.9%)    101 (76.5%)     308 (77.0%) 
#>     UNKNOWN                             9 (6.7%)      3 (2.2%)        5 (3.8%)       17 (4.2%)  
#>   RACE                                                                                          
#>     n                                      134           134            132             400     
#>     AMERICAN INDIAN OR ALASKA NATIVE    8 (6.0%)      11 (8.2%)       6 (4.5%)       25 (6.2%)  
#>     ASIAN                              68 (50.7%)    68 (50.7%)      73 (55.3%)     209 (52.2%) 
#>     BLACK OR AFRICAN AMERICAN          31 (23.1%)    28 (20.9%)      32 (24.2%)      91 (22.8%) 
#>     WHITE                              27 (20.1%)    27 (20.1%)      21 (15.9%)      75 (18.8%)