How to find nothing 2.0.

IF 2.3 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Journal of Public Health Policy Pub Date : 2024-12-11 DOI:10.1057/s41271-024-00538-6

David Hemenway

引用次数: 0

Abstract

Various problematic statistical approaches can be used in regression analyses to help find no significant relationship between explanatory variables and response variables-"to find nothing." In an earlier paper, I provided examples of finding nothing from firearm studies, focusing on the lack of statistical power. In this Viewpoint, I offer three examples of "finding nothing" from firearms research and focus on a single hypothesis-that household gun ownership levels affect suicide rates, examining one type of evidence-cross-sectional ecological studies. I discuss studies examining variations in suicide rates across US states, US cities, and nations, highlighting the work of the one firearm researcher who continually "finds nothing."

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如何一无所获2.0。

在回归分析中，可以使用各种有问题的统计方法来帮助发现解释变量和响应变量之间没有显著的关系——“一无所获”。在之前的一篇论文中，我提供了一些从枪支研究中一无所获的例子，重点是缺乏统计能力。在这个观点中，我提供了三个从枪支研究中“一无所获”的例子，并集中在一个假设上——家庭枪支拥有率影响自杀率，检验一种证据——横断面生态学研究。我讨论了调查美国各州、城市和国家自杀率差异的研究，重点介绍了一位不断“一无所获”的枪支研究人员的工作。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Public Health Policy 医学-公共卫生、环境卫生与职业卫生

CiteScore

5.70

自引率

2.60%

发文量

审稿时长

>12 weeks

期刊介绍： The Journal of Public Health Policy (JPHP) will continue its 35 year tradition: an accessible source of scholarly articles on the epidemiologic and social foundations of public health policy, rigorously edited, and progressive. JPHP aims to create a more inclusive public health policy dialogue, within nations and among them. It broadens public health policy debates beyond the ''health system'' to examine all forces and environments that impinge on the health of populations. It provides an exciting platform for airing controversy and framing policy debates - honing policies to solve new problems and unresolved old ones. JPHP welcomes unsolicited original scientific and policy contributions on all public health topics. New authors are particularly encouraged to enter debates about how to improve the health of populations and reduce health disparities.