cotest | R Documentation |
Function for analyzing combined results of two concurrent diagnostic tests. Calculates post-test probabilities based on various scenarios (either test positive, both positive, both negative).
cotest(
test1_sens = 0.8,
test1_spec = 0.9,
test2_sens = 0.75,
test2_spec = 0.95,
indep = TRUE,
cond_dep_pos = 0.05,
cond_dep_neg = 0.05,
prevalence = 0.1,
fnote = FALSE,
fagan = FALSE
)
test1_sens |
Sensitivity (true positive rate) of Test 1. |
test1_spec |
Specificity (true negative rate) of Test 1. |
test2_sens |
Sensitivity (true positive rate) of Test 2. |
test2_spec |
Specificity (true negative rate) of Test 2. |
indep |
Assume tests are conditionally independent (default is true). |
cond_dep_pos |
Conditional dependence between tests for subjects with disease. Value between 0 (independence) and 1 (complete dependence). |
cond_dep_neg |
Conditional dependence between tests for subjects without disease. Value between 0 (independence) and 1 (complete dependence). |
prevalence |
Prior probability (disease prevalence in the population). Requires a value between 0.001 and 0.999. |
fnote |
. |
fagan |
. |
A results object containing:
results$testParamsTable | a table | ||||
results$cotestResultsTable | a table | ||||
results$dependenceInfo | a html | ||||
results$dependenceExplanation | a html | ||||
results$explanation | a html | ||||
results$plot1 | an image | ||||
Tables can be converted to data frames with asDF
or as.data.frame
. For example:
results$testParamsTable$asDF
as.data.frame(results$testParamsTable)
# example will be added
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