Nothing
Code
lm(age ~ marker + grade, trial) %>% tbl_regression() %>% add_vif() %>%
as.data.frame()
Output
**Characteristic** **Beta** **95% CI** **p-value** **GVIF**
1 Marker Level (ng/mL) -0.04 -2.6, 2.5 >0.9 1.0
2 Grade <NA> <NA> <NA> 1.0
3 I <NA> <NA> <NA> <NA>
4 II 0.64 -4.7, 6.0 0.8 <NA>
5 III 2.4 -2.8, 7.6 0.4 <NA>
**Adjusted GVIF**
1 1.0
2 1.0
3 <NA>
4 <NA>
5 <NA>
Code
lm(age ~ marker + response, trial) %>% tbl_regression() %>% add_vif() %>%
as.data.frame()
Output
**Characteristic** **Beta** **95% CI** **p-value** **VIF**
1 Marker Level (ng/mL) 0.03 -2.5, 2.6 >0.9 1.0
2 Tumor Response 3.9 -0.90, 8.6 0.11 1.0
Code
lm(age ~ marker + grade, trial) %>% tbl_regression() %>% add_vif(statistic = "aGVIF") %>%
as.data.frame()
Output
**Characteristic** **Beta** **95% CI** **p-value** **Adjusted GVIF**
1 Marker Level (ng/mL) -0.04 -2.6, 2.5 >0.9 1.0
2 Grade <NA> <NA> <NA> 1.0
3 I <NA> <NA> <NA> <NA>
4 II 0.64 -4.7, 6.0 0.8 <NA>
5 III 2.4 -2.8, 7.6 0.4 <NA>
Code
lm(age ~ marker + grade, trial) %>% tbl_regression() %>% add_vif(statistic = c(
"aGVIF", "df")) %>% as.data.frame()
Output
**Characteristic** **Beta** **95% CI** **p-value** **Adjusted GVIF** **df**
1 Marker Level (ng/mL) -0.04 -2.6, 2.5 >0.9 1.0 1
2 Grade <NA> <NA> <NA> 1.0 2
3 I <NA> <NA> <NA> <NA> <NA>
4 II 0.64 -4.7, 6.0 0.8 <NA> <NA>
5 III 2.4 -2.8, 7.6 0.4 <NA> <NA>
Code
lm(age ~ marker + response, trial) %>% tbl_regression() %>% add_vif(statistic = "VIF") %>%
as.data.frame()
Output
**Characteristic** **Beta** **95% CI** **p-value** **VIF**
1 Marker Level (ng/mL) 0.03 -2.5, 2.6 >0.9 1.0
2 Tumor Response 3.9 -0.90, 8.6 0.11 1.0
Code
lm(age ~ marker + response, trial) %>% tbl_regression() %>% add_vif(statistic = "VIF") %>%
as.data.frame()
Output
**Characteristic** **Beta** **95% CI** **p-value** **VIF**
1 Marker Level (ng/mL) 0.03 -2.5, 2.6 >0.9 1.0
2 Tumor Response 3.9 -0.90, 8.6 0.11 1.0
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