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

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

summaryvars

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

lbl_overall

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

...

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%)