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INTVL

First app for
 Medical Statistics

Enabling medics to perform high level statistics on the fly

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Features

Essential calculators and converters with superior accuracy and precision

Confidence Interval Calculators

Calculate confidence intervals for means and proportions to estimate the range within which the true population parameter lies with a given level of certainty.

P-value to CI Converter

Convert p-values to confidence intervals to provide a range of values that reflect the estimate’s precision and stability, enhancing interpretability.

CI to p-value Converter

Convert confidence intervals to p-values to determine the statistical significance and assess the strength of the evidence against the null hypothesis.

I² Confidence Interval Calculator

Calculate confidence intervals for I² in meta-analyses to assess the degree of heterogeneity and variability among different study results.

Prediction Interval Calculator

Calculate prediction intervals for any type of effect in meta-analyses to provide a range where the true effect is expected to fall in similar studies.

Statistical & Epidemiological Vocabulary

200+ statistical and medical terms defined using reputable sources, such as the ISO and Taber's Cyclopedic Medical Dictionary.

Fast

Experience rapid calculations and instant results, optimizing your workflow and saving valuable time.

Easy-To-Use

User-friendly interface designed for intuitive navigation and effortless interaction, suitable for all skill levels.

Accurate

Rely on precise computations with algorithms that adhere to the latest statistical standards and practices.

No Data Collection

Enjoy complete privacy with a platform that does not collect or store any of your data, ensuring full confidentiality.

Dark Mode

Reduce eye strain and enhance usability in low-light environments with an optional dark mode interface.

Superior to Web Calculators

Offering more features, better reliability, and enhanced accuracy compared to traditional web-based calculators.

Tutorials

We have created some real-life examples of how INTVL could be used when dealing with heterogeneity in meta-analyses.

Example 1

Is asthma really a protective factor against COVID-19 mortality? Odds ratios and moderate I² levels

Example 2

Latest meta-analysis of RCTs: only mRNA COVID-19 vaccines are certain to reduce chances of infection