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Related Experiment Video

Updated: Nov 16, 2025

Design and Implementation of an fMRI Study Examining Thought Suppression in Young Women with, and At-risk, for Depression

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Published on: May 19, 2015

Editorial overview: Analytic and methodological innovations for suicide-focused research.

Brian W Bauer¹, Keyne C Law², Megan L Rogers³

¹Department of Psychology, University of Southern Mississippi, Hattiesburg, MS, USA.

Suicide & Life-Threatening Behavior

|February 24, 2021

Summary

This special issue introduces analytic and methodological innovations for suicide research. It offers accessible guidelines and strategies to enhance the rigor of suicide-focused studies.

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Area of Science:

Psychiatry and Behavioral Sciences
Quantitative Psychology
Research Methodology

Background:

Modern suicidology faces challenges integrating diverse analytical techniques with unique data complexities.
There is a need for updated methodological and analytical guidelines tailored for suicide research.
This special issue addresses these challenges by presenting accessible information for researchers and clinicians.

Discussion:

The issue covers advanced topics including power analyses, large dataset utilization, experimental therapeutics, and covariate selection.
It explores open science, decision-making models, ordinal regression, machine learning, network analysis, and measurement considerations.
Articles provide practical, step-by-step walkthroughs with code examples in R for broader accessibility.

Key Insights:

Provides practical, up-to-date methodological and analytical guidelines for suicide research.
Enhances understanding and application of advanced quantitative methods in suicidology.
Offers strategies to overcome past limitations and improve the rigor of suicide research.

Outlook:

Aims to equip suicidologists with valuable tools and strategies to advance the field.
Encourages the adoption of innovative analytical and methodological approaches.
Facilitates more robust and impactful suicide prevention research through improved methodological rigor.