This combines the covariates simulation via simul_covariates() with 10
categorical covariates, and the PFS simulation via simul_pfs().
Arguments
- n
(
count)
number of patients.- add_interaction
(
flag)
whether to add interaction terms between covariates 1 and 2.- coefs
(
numeric)
named vector of coefficients to set.- ...
additional parameters apart from the linear predictor values needed for
simul_pfs().
Details
Regression coefficients are for an AFT with over-parametrized dummy coding for arm-subgroup interactions.
Examples
set.seed(321)
simul_data(
n = 100,
coefs = c(arm1 = 1),
sigma_aft = 1,
recr_duration = 0.2,
rate_cens = 2,
n_events = 20
)
#> id arm x_1 x_2 x_3 x_4 x_5 x_6 x_7 x_8 x_9 x_10 tt_pfs ev_pfs
#> 1 1 1 a a b a b b b c b c 0.1282226880 0
#> 2 2 1 b a b b c b b c a c 0.1767947720 0
#> 3 3 1 b a b c a b a a a c 0.0375620848 0
#> 4 4 1 b b a c d b a b b a 0.0992460062 0
#> 5 5 0 a a a a d b b b b b 0.1145271123 1
#> 6 6 0 b a b a d b a c b b 0.3823918472 0
#> 7 7 0 b b b c c b a a b c 0.2811471708 1
#> 8 8 1 a b b b d a b b b b 0.3410860911 0
#> 9 9 1 a b b a d a a c b c 0.3240451190 0
#> 10 10 1 b b b c d b b c b b 0.3425044641 0
#> 11 11 1 a b b c a b b c b c 0.3511962811 0
#> 12 12 1 a b a a a b b a b c 0.1720379323 0
#> 13 13 0 a a b c b b a b b a 0.0142147441 0
#> 14 14 0 b b b b a a a c b c 0.2089344005 0
#> 15 15 0 a a b c d a a a a b 0.4003985470 0
#> 16 16 1 b b b b d b a c b a 0.3419909916 0
#> 17 17 0 b a b c a b b b b c 0.3065957316 0
#> 18 18 0 b a b b a b b b b c 0.2223906196 1
#> 19 19 0 b b b b a b b c b c 0.1309563036 0
#> 20 20 0 a b a b c a b b b c 0.1047233675 0
#> 21 21 1 b b b b d a a b b c 0.1308613061 0
#> 22 22 0 b a b a d b a c b a 0.3584195273 0
#> 23 23 0 a b b c d b b c b c 0.2639375285 0
#> 24 24 0 a a b b d b b c b a 0.2968136585 0
#> 25 25 0 a a b b c a a c b a 0.2376888166 0
#> 26 26 1 a a a c b a a b b b 0.0223674499 0
#> 27 27 1 b a b a a b b a a a 0.1512378014 0
#> 28 28 1 b b b b b a a a b c 0.4510755855 0
#> 29 29 0 b b b c d b a b b a 0.2887533091 0
#> 30 30 1 b a b b a a a c b b 0.3471475349 1
#> 31 31 1 b a b a c b b b b a 0.1164908712 0
#> 32 32 0 b a b b d a a a b b 0.3362654296 0
#> 33 33 1 b a b c c a b b b c 0.0815441038 0
#> 34 34 1 a b b b b b a c b c 0.3417314538 0
#> 35 35 0 b b a c d b a c b c 0.2940085382 0
#> 36 36 0 a b b b b a a a b b 0.3067394565 0
#> 37 37 0 a b a a c b b b a a 0.0320812880 0
#> 38 38 1 b b b b a b a c b c 0.2967510092 0
#> 39 39 1 a b b c d b a c b c 0.2821629285 0
#> 40 40 1 a b a a c b b a b c 0.3989537274 0
#> 41 41 0 b b b a c b b c a a 0.1349419758 0
#> 42 42 0 b b b b b a b b b c 0.0110019193 1
#> 43 43 0 a a a c c b b c b c 0.3356035645 1
#> 44 44 0 a b b a b b b a b b 0.0840718392 0
#> 45 45 1 b a b a d a b a b c 0.0007563204 0
#> 46 46 1 b b b c b b b a b c 0.2927920389 0
#> 47 47 0 b a b b d b b c b b 0.2686126485 0
#> 48 48 1 a b b b a a a b b c 0.2726582417 0
#> 49 49 1 a b b a b a a a b c 0.2925882018 0
#> 50 50 0 b b b c d b b c b a 0.0997201689 0
#> 51 51 1 b b b c a b a c b a 0.0012828808 0
#> 52 52 0 b a b c d a a c b a 0.3211381594 1
#> 53 53 1 a a b c c b a c b b 0.3044618473 0
#> 54 54 0 a b b a d a b b b b 0.2497000496 0
#> 55 55 0 b a a a c a b a b b 0.1484089068 0
#> 56 56 1 a b b b c b b c a b 0.2958200850 0
#> 57 57 0 b b a b c b a c b c 0.2617488988 0
#> 58 58 1 a a b a a b a c b c 0.0247151775 1
#> 59 59 0 b b b b b b a b b c 0.3748451991 0
#> 60 60 0 a a b b a a a c b c 0.0041083358 1
#> 61 61 1 b b b c d b a b b c 0.0157443425 0
#> 62 62 1 a b b c a b a c b c 0.3235550944 0
#> 63 63 0 b a a b d b a b b c 0.4148607902 0
#> 64 64 1 a a b b d a b a b a 0.0961596484 1
#> 65 65 0 a b b a d b b c b c 0.0626320161 0
#> 66 66 1 b b b c d b b c a a 0.0067666320 0
#> 67 67 1 b b b b d a a c b b 0.4421577878 0
#> 68 68 1 a a b c c b b a b c 0.2270726904 0
#> 69 69 0 b b b a a b b b b c 0.3785837055 0
#> 70 70 1 b b b c d b a c a a 0.0191520654 0
#> 71 71 1 a b b b c b b b b a 0.3382673208 0
#> 72 72 0 a b b c c b b a b b 0.0863618422 0
#> 73 73 0 a a b a b b b c a c 0.3639538628 1
#> 74 74 0 a b b a c b b c b c 0.0875243735 1
#> 75 75 0 a b b b c a b b b c 0.1582868357 1
#> 76 76 1 b b b c a b b c b c 0.2628716063 0
#> 77 77 0 b a b a b b b b b c 0.0432361315 0
#> 78 78 0 a b a b c b a b b c 0.3048109831 1
#> 79 79 0 b a b b c a b a b c 0.1022586054 1
#> 80 80 0 a b b c d b a b b c 0.1071161874 1
#> 81 81 0 b b b c d b a a b b 0.1200884324 0
#> 82 82 1 b b b b d b a b b b 0.3196011651 0
#> 83 83 1 a b b c b a a a b b 0.0801926630 0
#> 84 84 0 b a b a a b a c a b 0.0066999029 1
#> 85 85 1 b a b b c b b c b c 0.0092246926 0
#> 86 86 0 a a b a a a b b a b 0.0025413876 1
#> 87 87 1 a a a b b b b c a a 0.3294185575 0
#> 88 88 1 b b b b d b b c b a 0.3826538677 0
#> 89 89 1 b b b a c b b b b b 0.0171878384 0
#> 90 90 1 b a b c b b b a b b 0.0153720826 0
#> 91 91 1 a a b c a b b c a a 0.4214402233 0
#> 92 92 1 a b b b c b b a b c 0.0229397770 0
#> 93 93 1 a b a b c b b c b c 0.4620108881 0
#> 94 94 0 b b b b c b a c b a 0.1225403841 0
#> 95 95 0 b a a a c a b b b a 0.1053230008 0
#> 96 96 0 a b b b c b b b b c 0.2340241512 0
#> 97 97 0 b a b c c a b c b c 0.0879261284 1
#> 98 98 0 a b a c b b a b b c 0.2531817962 0
#> 99 99 1 b b b c d a b a b c 0.0648335167 0
#> 100 100 1 b b b c d b b c b a 0.2363842877 1