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The function combines terms from a regression model, and replaces the terms
with a single row in the output table. The p-value is calculated using
stats::anova()
.
combine_terms(x, formula_update, label = NULL, quiet = NULL, ...)
a tbl_regression
object
formula update passed to the stats::update.
This updated formula is used to construct a reduced model, and is
subsequently passed to stats::anova()
to calculate the p-value for the
group of removed terms. See the stats::update help file for proper syntax.
function's formula.=
argument
Option string argument labeling the combined rows
Logical indicating whether to print messages in console. Default is
FALSE
Additional arguments passed to stats::anova
tbl_regression
object
Example 1
Review list, formula, and selector syntax used throughout gtsummary
Other tbl_regression tools:
add_global_p()
,
add_q()
,
bold_italicize_labels_levels
,
inline_text.tbl_regression()
,
modify
,
tbl_merge()
,
tbl_regression()
,
tbl_split()
,
tbl_stack()
,
tbl_strata()
# NOT RUN {
# Example 1 ----------------------------------
# Logistic Regression Example, LRT p-value
combine_terms_ex1 <-
glm(
response ~ marker + I(marker^2) + grade,
trial[c("response", "marker", "grade")] %>% na.omit(), # keep complete cases only!
family = binomial
) %>%
tbl_regression(label = grade ~ "Grade", exponentiate = TRUE) %>%
# collapse non-linear terms to a single row in output using anova
combine_terms(
formula_update = . ~ . - marker - I(marker^2),
label = "Marker (non-linear terms)",
test = "LRT"
)
# }
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