When the suspected_cases_R is > 0, but suspected_cases = NA, should we have NA suspected_cases in Table 1 of the report?
BEN 2020, suspected_cases = 198 (checked the observation_data after pulling info from SQL). Then, in censoring process, the suspected_cases changes to NA and suspected_cases_R changes to 198. I could not understand what censoring does exactly. I checked the report and saw that the suspected_cases is NA which is correct because censoring changed the 198 to NA for this variable.
When the suspected_cases_R is > 0, but suspected_cases = NA, should we have NA suspected_cases in Table 1 of the report?
BEN 2020, suspected_cases = 198 (checked the observation_data after pulling info from SQL). Then, in censoring process, the suspected_cases changes to NA and suspected_cases_R changes to 198. I could not understand what censoring does exactly. I checked the report and saw that the suspected_cases is NA which is correct because censoring changed the 198 to NA for this variable.