Calculate PCS Score

for each symptom-row in long data, apply corresponding the detect_symptom_complex and summarise long symptom data frame by PCSS symptom complex returns a dataframe with one row per pid containing the results of PCS Score

calculate_pcs_score_suep(
  trial_data,
  pid,
  days_of_pcss_time_diff,
  vector_of_pcss_fup_visits
)

Arguments

trial_data

SecuTrial Data

pid

column name of patient ID in data

days_of_pcss_time_diff

Time difference since COVID-19 diagnosis, for which PCSS should be calculated, in days

vector_of_pcss_fup_visits

Vector of Follow-Up Visits that are sufficient to evaluate PCSS, based on PCSS time difference

Value

A dataframe with symptom complexes and PCSS-score for specified Follow-Up visits