Funnel Plot Analysis with Normal Approximation - Predicted Boundaries.

Applies a funnel plot analysis with normal approximation to site-level data, and then calculates predicted percentages/rates and upper- and lower-bounds across the full range of sample sizes/total exposure values.

Usage

Analyze_NormalApprox_PredictBounds(
  dfTransformed,
  vThreshold = c(-3, -2, 2, 3),
  strType = "binary",
  nStep = NULL
)

Arguments

dfTransformed

data.frame Transformed data for analysis. Data should have one record per site with expected columns: GroupID, GroupLevel, Numerator, Denominator, and Metric. For more details see the Data Model vignette: vignette("DataModel", package = "gsm"). For this function, dfTransformed should typically be created using Transform_Rate().

vThreshold

numeric upper and lower boundaries based on standard deviation. Should be identical to the thresholds used in *_Assess() functions.

strType

character Statistical method. Valid values:

• "binary" (default)

• "rate"

nStep

numeric step size of imputed bounds.

Value

data.frame containing predicted boundary values with upper and lower bounds across the range of observed values.

Statistical Methods

This function applies a funnel plot analysis with normal approximation to site-level data and then calculates predicted percentages/rates and upper- and lower- bounds (funnels) based on the standard deviation from the mean across the full range of sample sizes/total exposure values.

Examples

# Binary
dfTransformed <- Transform_Rate(analyticsInput)

dfAnalyzed <- Analyze_NormalApprox(dfTransformed, strType = "binary")
#> `OverallMetric`, `Factor`, and `Score` columns created from normal
#> approximation.
dfBounds <- Analyze_NormalApprox_PredictBounds(dfTransformed, c(-3, -2, 2, 3), strType = "binary")
#> nStep was not provided. Setting default step to 43.44.

# Rate
dfAnalyzed <- Analyze_NormalApprox(dfTransformed, strType = "rate")
#> `OverallMetric`, `Factor`, and `Score` columns created from normal
#> approximation.
dfBounds <- Analyze_NormalApprox_PredictBounds(dfTransformed, c(-3, -2, 2, 3), strType = "rate")
#> nStep was not provided. Setting default step to 43.44.