Epidemiology and Diagnostic Tests
roc auc confidence interval statistical calculator
ROC AUC Confidence Interval Statistical Calculator
ROC AUC Confidence Interval Calculator calculate a normal-approximation confidence interval for a ROC area under the curve. It is part of the Salar Cafe collection of free statistical calculators.
Quick Answer
The roc auc confidence interval statistical calculator calculate a normal-approximation confidence interval for a ROC area under the curve.
Epidemiology and Diagnostic Tests
ROC AUC Confidence Interval Statistical Calculator
Calculate a normal-approximation confidence interval for a ROC area under the curve.
Calculated result
When to use
Calculate a normal-approximation confidence interval for a ROC area under the curve.
Formula or algorithm
Hanley–McNeil variance uses AUC, positive cases, negative cases, Q1=AUC/(2-AUC), and Q2=2AUC²/(1+AUC).
Assumptions and limits
Use the variable scales and sampling design required by this named statistical method. Review missing values, independence or pairing, outliers, and distribution or model assumptions before interpretation. Confirm that the selected dependent, independent, grouping, time, item, rater, or matrix variables match the research design.
Use Raw Data, Excel, or CSV
Upload XLSX, CSV, TSV, TXT, JSON, or pasted data where applicable; inspect cleaning, select the required variable roles, and review mapped inputs before calculation.
Uploaded files are processed locally in the browser. The cleaning report appears before variable dropdowns, and the selected cleaned columns are placed into this exact calculator rather than a generic fallback method.
About the ROC AUC Confidence Interval Calculator
Calculate a normal-approximation confidence interval for a ROC area under the curve. This calculator applies the displayed method to the requested inputs and reports the intermediate values used in the result.
When to Use the ROC AUC Confidence Interval Calculator
Calculate a normal-approximation confidence interval for a ROC area under the curve.
How the ROC AUC Confidence Interval Calculator Works
Hanley–McNeil variance uses AUC, positive cases, negative cases, Q1=AUC/(2-AUC), and Q2=2AUC²/(1+AUC).
The calculation runs in your browser. Submitted values are validated for the required numeric range, data shape, units, and method-specific restrictions before a result is shown.
Assumptions and Checks
- Use the variable scales and sampling design required by this named statistical method.
- Review missing values, independence or pairing, outliers, and distribution or model assumptions before interpretation.
- Confirm that the selected dependent, independent, grouping, time, item, rater, or matrix variables match the research design.
Required Inputs
- Observed AUC (required)
- Positive cases (required)
- Negative cases (required)
- Confidence level percent (required)
Results Reported
The result panel shows the final answer together with the intermediate quantities needed to audit the calculation. Depending on this method, reported values include:
- AUC
auc - Standard Error
standard_error - CI Lower
ci_lower - CI Upper
ci_upper - Z Versus 0.5
z_vs_half - P Value
p_value
ROC AUC Confidence Interval Calculator Example
Load the verified example or upload cleaned data, assign variable roles, calculate, and review the method-specific result and chart.
| Input | Example value |
|---|---|
| Observed AUC | 0.82 |
| Positive cases | 60 |
| Negative cases | 80 |
| Confidence level percent | 95 |
How to Use the Calculator
- Confirm that the calculator title and method match the quantity, test, conversion, or planning question you need to solve.
- Enter values with compatible units and the requested sample, group, matrix, count, date, or option format.
- Select Example Data to inspect a valid input layout, or enter your own values and select Calculate.
- Review the result table, formula, worked substitutions, warnings, and interpretation rather than using only the headline number.
- Use Copy Result or Download CSV when you need a reusable record of the displayed calculation.
Understanding the Result
Interpret the estimate, uncertainty, test statistic, p-value, effect size, and diagnostics for the selected variables and design.
Review the formula, units, assumptions, and result interpretation before using the calculation.
Keep the entered values, units, selected options, and any warning shown beside the result. For a hypothesis test, report the statistic, degrees of freedom where applicable, p-value, alpha level, effect size, and decision. For an estimate or conversion, report the formula convention and final unit.
How to Report the Result
Report the method, selected variables, sample information, estimate or statistic, uncertainty, p-value when applicable, and practical conclusion.
Accuracy and Limitations
The calculator keeps full browser precision during calculation and rounds only for display. Accuracy still depends on correct inputs and on whether the displayed model represents the real problem. Educational calculators cannot replace required professional review, current official rules, field measurements, laboratory methods, or specialist statistical software where those are necessary.
Frequently Asked Questions
What does the ROC AUC Confidence Interval Calculator calculate?
Calculate a normal-approximation confidence interval for a ROC area under the curve.
Which formula does the ROC AUC Confidence Interval Calculator use?
Hanley–McNeil variance uses AUC, positive cases, negative cases, Q1=AUC/(2-AUC), and Q2=2AUC²/(1+AUC).
Related Search Questions and Calculator Terms
This page answers the following closely related statistical calculator searches without creating duplicate competing URLs:
- roc auc confidence interval calculator
- statistical calculator
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What does the roc auc confidence interval statistical calculator calculate?
Calculate a normal-approximation confidence interval for a ROC area under the curve.
Can the roc auc confidence interval statistical calculator upload Excel or CSV data?
Yes. The web application cleans supported files locally in the browser and maps compatible variables to the calculator.
Does the roc auc confidence interval statistical calculator show a chart?
Yes. The result panel renders a method-specific chart or diagnostic visual from the entered or uploaded data.
How should I report the roc auc confidence interval statistical calculator result?
Report the method, variables, sample information, estimate or statistic, uncertainty, p-value where applicable, assumptions, and conclusion.