Log-rank Test Statistical Calculator

Log-Rank Test Calculator Workspace Features

• Dedicated Log-Rank Test Calculator variable mapping, calculation contract, result explanation, and diagnostics
• Dedicated formula and calculator function
• Manual and browser-local spreadsheet input
• Visible variable roles and selected column names
• Method-specific chart and downloadable results
• Assumptions, warnings and reporting guidance
• Canonical URL with no synonym duplication

About the Log-Rank Test Calculator

Compare two independent survival curves. Use Log-Rank Test Calculator to validate follow-up time, event indicator (1/0), independent group code, alpha and report observed group 1, expected group 1, variance, z statistic, chi square, p value with method-specific calculations, diagnostics, and interpretation. This calculator applies the displayed method to the requested inputs and reports the intermediate values used in the result.

When to Use the Log-Rank Test Calculator

Compare two independent survival curves.

How the Log-Rank Test Calculator Works

Sum observed minus expected events across event times and standardize by its variance.

The calculation runs in the browser. Submitted values are validated for required numeric ranges, data shape, units and method-specific restrictions before results are shown.

Assumptions and Checks

• The study design and variable scales match the named method.
• Independence, pairing, ordering, censoring, grouping or rater structure is represented correctly.
• Missing values and influential observations are reviewed before inference.

Required Inputs

• Follow-up time (required)
• Event indicator (1/0) (required)
• Independent group code (required)
• Alpha (required)

Results Reported

The result workspace shows the final answer and intermediate quantities needed to audit the calculation. Depending on the method, reported values include:

• Observed Group 1 observed_group_1
• Expected Group 1 expected_group_1
• Variance variance
• Z Statistic z_statistic
• Chi Square chi_square
• P Value p_value
• Decision decision

Log-Rank Test Calculator Worked Example

Load the example or upload cleaned data, map variables, calculate, and review the method-specific result and chart.

Verified Worked Result

The packaged automated fixture produces the following checked values from the example inputs. Display rounding can differ from the full-precision browser result.

How to Use This Workspace

1. Confirm that the method matches the quantity, hypothesis, model or planning question you need to solve.
2. Enter values with compatible units and the requested sample, group, matrix, count, date or option format.
3. Use Example Data to inspect a valid input layout, or enter your own values and run the calculation.
4. Review the result table, formula, substitutions, warnings and interpretation rather than relying only on the headline number.
5. Copy, download or print the result when you need a reusable analysis record.

Understanding and Reporting the Result

Review the Log-Rank Test estimate or test statistic, uncertainty or p-value where applicable, assumptions, chart and research-question interpretation. In the Log-Rank Test Calculator result workspace, interpret Observed Group 1, Expected Group 1, Variance, Z Statistic, Chi Square, P Value together with the method assumptions, warning messages, confidence information, effect magnitude, and diagnostic plots shown for the selected variables.

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 Log-Rank Test, the analyzed variables and valid sample size, the principal estimate or statistic, degrees of freedom and p-value or confidence interval where available, assumptions, and a conclusion tied to the research question. A reproducible Log-Rank Test Calculator report should identify the mapped variables, valid observations, exclusions or missing-data handling, selected options, principal outputs, uncertainty, diagnostics, and the practical conclusion supported by the analysis.

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 Log-Rank Test Calculator calculate?

Compare two independent survival curves. Use Log-Rank Test Calculator to validate follow-up time, event indicator (1/0), independent group code, alpha and report observed group 1, expected group 1, variance, z statistic, chi square, p value with method-specific calculations, diagnostics, and interpretation.

Which formula does the Log-Rank Test Calculator use?

Sum observed minus expected events across event times and standardize by its variance.

When should I use the Log-Rank Test Statistical Calculator?

Compare two independent survival curves.

What formula does the Log-Rank Test Statistical Calculator use?

Sum observed minus expected events across event times and standardize by its variance.

Which variables does the Log-Rank Test Statistical Calculator require?

The upload panel identifies compatible variable types and shows the exact dependent, independent, grouping, paired, time, item, rater or study roles required by this method.

Can the Log-Rank Test Statistical Calculator analyze Excel or CSV data?

Yes. XLSX, CSV, TSV or pasted data are cleaned locally, then selected columns are mapped to this exact calculator and chart.