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Sampling Plans

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

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Published on: February 15, 2017

Identifying tinnitus subgroups with cluster analysis.

Richard Tyler¹, Claudia Coelho, Pan Tao

¹The University of Iowa, 200 Hawkins Drive, Iowa City, IA 52242, USA. rich-tyler@uiowa.edu

American Journal of Audiology

|December 6, 2008

Summary

This summary is machine-generated.

Identifying tinnitus subgroups is crucial for personalized treatment. A cluster analysis revealed four distinct patient groups, aiding in targeted therapeutic strategies for tinnitus management.

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Area of Science:

Audiology and Otolaryngology
Data Science in Healthcare

Background:

Tinnitus heterogeneity necessitates subgroup identification for effective treatment.
Current treatment approaches often lack personalization due to a lack of defined patient subgroups.

Purpose of the Study:

To explore strategies for subgrouping tinnitus patients.
To identify distinct tinnitus patient subgroups likely to benefit from specific interventions.

Main Methods:

Utilized a 2-step cluster analysis on data from 246 participants.
Analyzed 26 categorical and 25 continuous variables for subgroup identification.

Main Results:

A four-cluster solution identified distinct tinnitus subgroups.
Subgroups include: constant distressing tinnitus, tinnitus worse in noise, somatic modulation, and tinnitus worse in quiet.

Conclusions:

Statistical approaches can effectively identify tinnitus subgroups.
These preliminary subgroups can inform future clinical trials and patient selection criteria for tinnitus treatments.