Sample a patient population

Source: R/pop.R

Sample a patient population for use in the individual patient simulation (sim_iviRA).

sample_pop(n = 1, type = c("homog", "heterog"), age_mean = 55,
  age_sd = 13, male_prop = 0.21, haq0_mean = 1.5, haq0_sd = 0.7,
  wtmale = 89, wtfemale = 75, prev_dmards_mean = 3.28,
  prev_dmards_sd = 1.72, das28_mean = 6, das28_sd = 1.2,
  sdai_mean = 43, sdai_sd = 13, cdai_mean = 41, cdai_sd = 13,
  cor_das28_sdai = 0.86, cor_das28_cdai = 0.86, cor_das28_haq = 0.38,
  cor_sdai_cdai = 0.94, cor_sdai_haq = 0.34, cor_cdai_haq = 0.34)

Arguments

n

Number of samples.
type

Should male and female patients be heterogeneous or homogeneous. Default is homogeneous.
age_mean

Mean age.
age_sd

Standard deviation of age.
male_prop

Proportion male.
haq0_mean

Mean baseline HAQ (i.e., HAQ at the start of the model) score.
haq0_sd

Standard deviation of baseline HAQ score.
wtmale

Male weight.
wtfemale

Female weight.
prev_dmards_mean

Mean number of previous DMARDs.
prev_dmards_sd

Standard deviation of number of previous DMARDs.
das28_mean

Mean of DAS28.
das28_sd

Standard deviation of DAS28.
sdai_mean

Mean of SDAI.
sdai_sd

Standard deviation of SDAI.
cdai_mean

Mean of CDAI.
cdai_sd

Standard deviation of CDAI.
cor_das28_sdai

Correlation between DAS28 and SDAI.
cor_das28_cdai

Correlation between DAS28 and CDAI.
cor_das28_haq

Correlation between DAS28 and baseline HAQ.
cor_sdai_cdai

Correlation between SDAI and CDAI.
cor_sdai_haq

Correlation between SDAI and HAQ.
cor_cdai_haq

Correlation between CDAI and HAQ.

Value

Matrix of patient characteristics. One row for each patient and one column for each variable. Current variables are:

age

Age in years.

male

1 = male, 0 = female.

weight

Patient weight in KG.

prev_dmards

Number of previous DMARDs.

das28

DAS28 score.

sdai

SDAI score.

cdai

CDAI score.

haq0

Baseline HAQ score.

Examples

sample_pop(n = 10, type = "heterog", age_mean = 50)
#>            age male weight prev_dmards    das28     sdai     cdai      haq0
#>  [1,] 57.80100    1     89           3 7.634467 65.35644 62.76758 1.2817643
#>  [2,] 45.49448    0     75           5 6.376763 50.67509 44.82911 2.0146699
#>  [3,] 46.29300    0     75           4 6.998589 43.42228 48.90367 1.2222298
#>  [4,] 41.58052    0     75           3 3.603166 23.54906 18.04258 1.2235002
#>  [5,] 33.46121    0     75           1 7.674845 57.42469 55.57379 0.7902820
#>  [6,] 47.72275    0     75           4 6.395844 54.80798 54.77467 2.2995913
#>  [7,] 21.38285    0     75           5 5.549343 33.93788 29.69137 0.7628540
#>  [8,] 57.53839    0     75           4 7.027274 50.28449 58.01731 2.7244855
#>  [9,] 50.81635    0     75           4 5.079985 48.19259 41.99686 0.6317067
#> [10,] 73.07662    0     75           5 6.645056 46.45549 37.84887 0.8588147