computes the PheWAS analysis on concepts (UMLS concepts extracted from free text)
1 2 3 4 | compute_phewas(concepts, patients, concepts_min_occur = 5,
zero_controls_add = 2, min_concept = NULL, with_boot = FALSE,
perm = 1000, boot_all = FALSE, fdr_threshold = 0.05, progress = NULL,
cores = 1)
|
concepts |
concepts data.frame from the 'get_data_from_num' function |
patients |
patients data.frame from the 'get_data_from_num' function |
concepts_min_occur |
integer. minimum number of occurrences of the concept in the dataset to be analyzed |
zero_controls_add |
integer. number of simulated patients to add to the control group for a given if there is no occurrence of this concept in the control group. This trick allows to compute a pvalue in this situation. |
min_concept |
integer. minimum number of unique concept for a patient to be included in the analysis |
with_boot |
logical. perform a bootstrap on the results |
perm |
integer. number of permutations for the bootstrap |
boot_all |
logical. perform a bootstrap on all the results or only on the results with FDR corrected p.value < fdr_threshold |
fdr_threshold |
maximum FDR corrected p.value to perform the bootstrap |
progress |
progress bar object |
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