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

Source: R/dmt01.R
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"),
  stats = list(default = c("n", "mean_sd", "median", "range", "count_fraction")),
  precision = list(),
  ...
)

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.

stats

(named list of character) where names of columns found in .df_row and the values indicate the statistical analysis to perform. If default is set, and parameter precision not specified, the value for default will be used.

precision

(named list of integer) where names are strings found in summaryvars and the values indicate the number of digits in statistics for numeric variables. If default is set, and parameter precision not specified, the value for default will be used. If neither are provided, auto determination is used. See tern::format_auto.

...

not used.

tlg

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

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

  • 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=15)       (N=15)         (N=15)          (N=45)   
#>   ————————————————————————————————————————————————————————————————————————————————————————————
#>   Age (yr)                                                                                    
#>     n                                      15           15             15              45     
#>     Mean (SD)                          31.3 (5.3)   35.1 (9.0)     36.6 (6.4)      34.3 (7.3) 
#>     Median                                31.0         35.0           35.0            34.0    
#>     Min - Max                           24 - 40      24 - 57        24 - 49         24 - 57   
#>   Age Group                                                                                   
#>     n                                      15           15             15              45     
#>     <65                                15 (100%)    15 (100%)      15 (100%)       45 (100%)  
#>   Sex                                                                                         
#>     n                                      15           15             15              45     
#>     Male                               3 (20.0%)    7 (46.7%)      5 (33.3%)       15 (33.3%) 
#>     Female                             12 (80.0%)   8 (53.3%)      10 (66.7%)      30 (66.7%) 
#>   Ethnicity                                                                                   
#>     n                                      15           15             15              45     
#>     NOT REPORTED                           0            0          2 (13.3%)        2 (4.4%)  
#>     HISPANIC OR LATINO                 2 (13.3%)        0              0            2 (4.4%)  
#>     NOT HISPANIC OR LATINO             13 (86.7%)   15 (100%)      13 (86.7%)      41 (91.1%) 
#>   RACE                                                                                        
#>     n                                      15           15             15              45     
#>     AMERICAN INDIAN OR ALASKA NATIVE       0        2 (13.3%)       1 (6.7%)        3 (6.7%)  
#>     ASIAN                              8 (53.3%)    10 (66.7%)     8 (53.3%)       26 (57.8%) 
#>     BLACK OR AFRICAN AMERICAN          4 (26.7%)     1 (6.7%)      4 (26.7%)       9 (20.0%)  
#>     WHITE                              3 (20.0%)    2 (13.3%)      2 (13.3%)       7 (15.6%)