ff_remove_p(.data)
finalfit_remove_p(.data)Output from finalfit or similar.
Data frame.
explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = 'mort_5yr'
colon_s %>%
finalfit(dependent, explanatory) %>%
ff_remove_p()
#> Note: dependent includes missing data. These are dropped.
#> Waiting for profiling to be done...
#> Waiting for profiling to be done...
#> Waiting for profiling to be done...
#> Waiting for profiling to be done...
#> Waiting for profiling to be done...
#> Dependent: Mortality 5 year Alive Died OR (univariable)
#> Age <40 years 31 (46.3) 36 (53.7) -
#> 40-59 years 208 (61.4) 131 (38.6) 0.54 (0.32-0.92)
#> 60+ years 272 (53.4) 237 (46.6) 0.75 (0.45-1.25)
#> Sex Female 243 (55.6) 194 (44.4) -
#> Male 268 (56.1) 210 (43.9) 0.98 (0.76-1.27)
#> Obstruction No 408 (56.7) 312 (43.3) -
#> Yes 89 (51.1) 85 (48.9) 1.25 (0.90-1.74)
#> Perforation No 497 (56.0) 391 (44.0) -
#> Yes 14 (51.9) 13 (48.1) 1.18 (0.54-2.55)
#> OR (multivariable)
#> -
#> 0.57 (0.34-0.98)
#> 0.81 (0.48-1.36)
#> -
#> 0.98 (0.75-1.28)
#> -
#> 1.25 (0.90-1.76)
#> -
#> 1.12 (0.51-2.44)