n4Studies Plus

n4Studies Plus

n4Studies Plus

1 ratings
1 review
$7.99

Details

  • Released
  • Updated
  • June 26, 2023
  • February 16, 2024

Features

n4Studies Plus screenshot #1 for iPhone
n4Studies Plus screenshot #2 for iPhone
n4Studies Plus screenshot #3 for iPhone
n4Studies Plus screenshot #4 for iPhone
n4Studies Plus screenshot #5 for iPhone
🖼️Get Icon
Icons↘︎

About

This app simplifies sample size and study power calculations for various research designs. It offers tools for regression, survival analysis, diagnostic studies, and more, helping users find calculations in minutes.

Sample size calculation for regression
Sample size for survival analysis
Sample size for diagnostic and cross-over studies
Sample size for population means and proportions
Sample size for case-control and cohort studies
Study power calculations
Email output sharing
Show original description

What's New in n4Studies Plus

1.4

February 16, 2024

Sample size calculations for one-tailed test of one population, two populations and correlation coefficient analysis were added in this version 1.4

User reviews

Need to Add More One-Sided Test Functions and α = 0.025 Support

Although support for one-sided hypothesis testing has been added for some statistical methods, the one-sided calculation for non-inferiority tests comparing two proportions still appears to be missing or incomplete. This is a very important feature for clinical trial design and should be supported explicitly.

In addition, I strongly recommend adding an option for α = 0.025, alongside the currently available α values of 0.01, 0.05, and 0.1. A one-sided α = 0.025 is widely used in confirmatory clinical trials, especially in superiority and non-inferiority study designs following regulatory guidance and common industry practice.
Show more

Developer apps

FAQ

What is n4Studies Plus used for?

n4Studies Plus is designed to help users easily calculate the sample size and statistical power for a wide range of study designs. It covers various statistical methods like regression, survival analysis, and diagnostic studies, aiming to simplify these complex calculations.

What types of study designs does n4Studies Plus support for sample size calculation?

n4Studies Plus supports sample size calculations for simple and multiple linear regression, logistic regression, survival analysis (comparing curves, hazard rates), diagnostic studies, cross-over studies, infinite/finite population means and proportions, comparing two population means and proportions, case-control studies (matched and unmatched), cohort studies, randomized controlled trials, non-inferiority trials, and equivalence trials.

Can n4Studies Plus calculate study power?

Yes, n4Studies Plus can calculate the statistical power of a study. This includes power calculations for comparing two population means and two population proportions, as well as for case-control studies, matched case-control studies, cohort studies, randomized controlled trials, non-inferiority trials, and equivalence trials.

What is the price of n4Studies Plus?

n4Studies Plus is a paid application priced at $7.99. This one-time purchase grants access to all its features for calculating sample size and study power.

On which devices can I use n4Studies Plus?

Currently, n4Studies Plus is supported on iPhones. The app is designed to run on iOS devices, providing its statistical calculation tools for users on the go.

How often is n4Studies Plus updated?

The latest version of n4Studies Plus is 1.4, and it was last updated on February 16, 2024. This indicates regular maintenance and potential feature additions by the developer.

Does n4Studies Plus have ads?

No, n4Studies Plus does not contain advertisements. As a paid application, it offers an ad-free experience, allowing users to focus on their calculations without interruption.

What is the user sentiment for n4Studies Plus based on ratings?

Based on the available data, n4Studies Plus has a rating of 3.0 stars from 1 rating. This suggests a mixed or limited user reception, and more reviews would be needed for a comprehensive understanding of user sentiment.