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Welcome To PowerGPT

PowerGPT is an intelligent assistant designed to guide researchers through power analysis for their studies. It provides clear, step-by-step explanations to help you calculate sample sizes, determine statistical power, and understand key concepts in your research design.

Select Your Institution

Welcome to the Institution Access Portal for PowerGPT. Please select your institution below to proceed. If your institution is not listed, please select "Other Institutions" to proceed and input your institution.

Tutorials

1. Select Your Institution:

In the university access portal, choose your affiliated institution (or select "Other Institutions" if not listed).

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2. Enter Your Details :

Provide your name and institution (if not pre-listed), then click “Start Chat” to begin.

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3. Ask Your Question :

Enter your query and provide some background to initiate the discussion with PowerGPT.

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4. Initial Guidance :

PowerGPT interprets your input and outlines key parameters it needs for further analysis.

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5. Refine Your Input :

Provide additional details to help PowerGPT improve its understanding.

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6. Iterative Refinement :

PowerGPT adjusts its interpretation and highlights missing information.

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7. Further Input :

Continue refining your details for more precise guidance.

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8. Finalize Results:

PowerGPT finalizes its interpretation and computes the minimum required sample size.

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9. Explore the Computation (Optional) :

Click the tab “Used …” to see the underlying statistical computations.

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10. Give Feedback:

Click the "Help Us Improve" tab (bottom right) to share your experience.

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11. Try out with the following question:

Recent literature indicates that patients with psoriatic arthritis have a relatively high prevalence of diabetes compared to the general population in cross-sectional studies. You hypothesize that diabetes is a risk factor for higher disease activity in psoriatic arthritis, with the mean disease activity (measured by cDAPSA) in the group with diabetes (Group A) being greater than that in the group without diabetes (Group B). To test this hypothesis, you plan to conduct a study and randomly assign patients to one of the two groups. The disease activity measure, cDAPSA, ranges from 0 to 154 . In your clinic, the standard deviations for both groups of cDAPSA are equal to 10. Which statistical test should be used? How many patients would be needed in each group to detect a 5-unit difference in cDAPSA between the two groups?

Tests Supported by PowerGPT

One-sample t-test

One-sample t-test
Two-sample t-test
Two-sample t-test
Paired t-test
Paired t-test
One-way ANOVA
One-way ANOVA
Single-proportion z-test
Single-proportion z-test
Two-proportion z-test
Two-proportion z-test
Chi-squared test
Chi-squared test
Cox proportional hazard model
Cox proportional hazard model
Logrank test
Logrank test