OpenEpi tool in the field of research

Summary

This video tutorial introduces Open API, a versatile online tool for statistical and epidemiological calculations. It covers how to access the tool, use it for sample size calculation, and perform various epidemiological tests like sensitivity, specificity, and t-tests. The tool is platform-independent, supporting JavaScript and HTML, and can be used offline by downloading the package. It's also easy to cite for research purposes.

Takeaways

• 🌐 Open API is a free online tool for statistical and epidemiological calculations.
• 🔗 Visit openAPI.com to access various epidemiological study options.
• 📊 It offers calculators for 2x2 tables, screening, sample size calculations, and more.
• 🖥️ Compatible across platforms like Windows, Mac, Linux, and others that support JavaScript and HTML.
• 🔢 Sample size calculation can be done by inputting population size, prevalence, confidence interval, and design effect.
• 📉 The tool provides real-time sample size calculations as you adjust confidence levels.
• 📝 It allows for epidemiological calculations such as sensitivity, specificity, and predictive values.
• 📊 For continuous variables, it can perform t-tests and provide immediate results including T statistic, p-value, and confidence intervals.
• 💾 The tool can be downloaded for offline use on any browser that supports JavaScript and HTML.
• 📝 When citing Open API in research, refer to the suggested citation format provided on the website, noting the version and date of access.

Q & A

What is Open API?

Open API is a free online tool that can be used to carry out various statistical and epidemiological calculations.

What types of calculations can be performed using Open API?

Open API can be used for sample size calculations, epidemiological calculations, and statistical tests such as t-tests.

Is Open API compatible with multiple platforms?

Yes, Open API is compatible with multiple platforms as it is a web-based tool that works across browsers that support JavaScript and HTML.

What are the benefits of using Open API for sample size calculation?

Open API allows for sample size calculations with various parameters such as population size, prevalence, confidence interval, and design effect.

How does Open API handle large population sizes in sample size calculations?

For large population sizes, Open API uses an approximation of infinite population for the calculations.

What is the default prevalence rate used in sample size calculations if it's unknown?

If the prevalence rate is unknown, Open API uses a default of 50% for the calculations.

Can Open API be used offline?

Yes, Open API can be used offline by downloading the complete package and running it in any web browser that supports JavaScript and HTML.

How do you cite Open API in a research paper?

You can cite Open API by referring to the author's name, the name of the tool, the date it was created, and the version number.

What is the suggested citation format for Open API?

The suggested citation format includes the author's name, the name of the tool, the creation date, and the version number, which can be found on the Open API home page.

Can Open API perform calculations for screening tests?

Yes, Open API can perform calculations related to screening tests, including sensitivity, specificity, positive predictive value, and negative predictive value.

What statistical parameters can be calculated using Open API for a t-test?

Open API can calculate the T statistic, p-value, mean difference, and the lower and upper levels of the 95% confidence intervals for a t-test.