Related Experiment Video
Updated: May 4, 2026
09:27
Using Eye Movements Recorded in the Visual World Paradigm to Explore the Online Processing of Spoken Language
Published on: October 13, 2018
10.3K
GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate
Sarah M Kreidler1, Keith E Muller2, Gary K Grunwald1
1University of Colorado Denver.
Journal of Statistical Software
|January 10, 2014
Summary
GLIMMPSE is a free, web-based tool for calculating statistical power and sample size for the general linear multivariate model. It offers a user-friendly interface and accurate computations, validated against existing results and simulations.
Area of Science:
- Biostatistics
- Statistical Software Development
Background:
- Accurate power and sample size calculations are crucial for study design in statistical research.
- Existing tools may lack user-friendliness or specific model capabilities.
Purpose of the Study:
- To introduce GLIMMPSE, a free, web-based software tool for power and sample size calculations.
- To provide a user-friendly interface for the general linear multivariate model with Gaussian errors.
Main Methods:
- Development of a web-based software tool (GLIMMPSE).
- Implementation of algorithms for power and sample size computation for specified statistical models.
- Validation through comparison with published results and simulation studies.
Main Results:
- GLIMMPSE accurately calculates power and sample size for general linear multivariate models.
- The software performs well in validation experiments and simulations.
- Online tutorials are available to guide users.
Conclusions:
- GLIMMPSE is a reliable and accessible tool for researchers needing to determine power and sample size.
- The software supports models with fixed predictors and Gaussian covariates.
- GLIMMPSE can aid in efficient study design, as demonstrated by head and neck cancer research examples.
More Related Videos
Related Concept Videos
01:23Quadratic Models
370
Quadratic models are mathematical representations used to describe relationships in which the rate of change changes at a constant rate. These models appear in a wide variety of natural and engineered systems, especially those involving motion, forces, and optimization. One common application is analyzing the vertical motion of objects influenced by gravity, such as a ball thrown into the air.In such scenarios, the object's height changes over time in a curved pattern, rising to a maximum point...
370
01:26Linearization and Approximation
233
Linearization is a mathematical technique used to approximate complex, nonlinear functions with simpler linear models in the vicinity of a chosen reference point. The method is based on the idea that, although a function may be difficult to evaluate exactly, its behavior near a specific input value can often be closely approximated by the tangent line at that point. This approach is particularly useful when small deviations from a known value are involved.Consider the square root function, for...
233
01:20Calibration Curves: Linear Least Squares
4.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
For data that follow a straight line, the standard method for fitting is the linear...
4.3K
01:24One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
1.5K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
1.5K
01:20Biostatistics: Overview
1.2K
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...
1.2K
01:29Application of Linearization and Approximation
193
A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...
193