Check the Clinical Significance Cutoff Based on Population Descriptives

Usage

check_cutoff(
  object = NULL,
  m_clinical,
  sd_clinical,
  m_functional = NA,
  sd_functional = NA,
  type = c("a", "b", "c"),
  better_is = c("lower", "higher"),
  resolution = 300
)

Arguments

object

An object of class clinisig. This is optional and can be used to visualize cutoffs after conducting a clinical significance analysis.

m_clinical

Mean of clinical population

sd_clinical

SD of clinical population

m_functional

M of functional population

sd_functional

SD of functional population

type

Cutoff type. Available are "a", "b", and "c". Defaults to "a" (see details for further information in which cutoff to choose)

better_is

Which direction means a better outcome for the employed outcome? Available are

"lower" (lower outcome scores are desirable, the default) and
"higher" (higher outcome scores are desirable)

resolution

Curve resolution (number of points to be drawn). This may improve smoothness of highly peaked curves.

Value

A ggplot2

Examples

# Check cutoff with manually specified values
check_cutoff(m_clinical = 40, sd_clinical = 12, m_functional = 10, sd_functional = 12)



# Or check the cutoff after you conducted a clinical significance analysis
results <- jacobson_1989 |>
  clinical_significance(
    id = subject,
    time = time,
    outcome = gds,
    pre = "pre",
    reliability = 0.80,
    m_functional = 30,
    sd_functional = 7,
    type = "c"
  )

check_cutoff(results)