Create a data table of patients to model.

create_patients(n, female_prop = 0.48, age_mean = 70.39,
  age_sd = 11.68, mutation_prob = 0.52)

Arguments

n

Number of patients to model.

female_prop

The proportion of patients that are female.

age_mean

Mean age. Based on sources cited in age_dist.

age_sd

Standard deviation of age. Based on sources cited in age_dist.

mutation_prob

The probability of a T790M mutation. The default value is based on Table 3 from the article by Ma et al. cited below.

Value

An object of class "patients", which is a data.table containing each modeled patient. Columns are:

patient_id

An integer from 1 to n denoting a unique patient.

mutation

1 if a patient has a T790M mutation and 0 otherwise.

female

1 if a patient is female and 0 otherwise.

References

Ma C, Wei S, Song Y. T790M and acquired resistance of EGFR TKI: a literature review of clinical reports. Journal of thoracic disease. 2011 Mar;3(1):10.

https://seer.cancer.gov/csr/1975_2015/results_merged/topic_age_dist.pdf

See also

Examples

create_patients(n = 10)
#> patient_id female age mutation #> 1: 1 1 59.36289 0 #> 2: 2 1 49.58720 1 #> 3: 3 1 62.02643 0 #> 4: 4 1 81.03140 0 #> 5: 5 0 61.37080 1 #> 6: 6 0 61.25533 1 #> 7: 7 1 65.34196 0 #> 8: 8 1 62.59284 0 #> 9: 9 0 86.61943 1 #> 10: 10 0 81.04069 0