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自闭症研究中的大数据:方法学挑战与解决方案。

Big data in autism research: Methodological challenges and solutions.

机构信息

Department of Epidemiology and Biostatistics, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA.

Modifiable autism risk factors research program, A.J. Drexel Autism Institute, Philadelphia, Pennsylvania, USA.

出版信息

Autism Res. 2023 Oct;16(10):1852-1858. doi: 10.1002/aur.3007. Epub 2023 Aug 19.

DOI:10.1002/aur.3007
PMID:37596816
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11168478/
Abstract

While the concept of big data has emerged over the past decade as a hot topic in nearly all areas of scientific inquiry, it has rarely been discussed in the context of autism research. In this commentary we describe aspects of big data that are relevant to autism research and methodological issues such as confounding and data error that can hamper scientific investigation. Although big data studies can have transformative impact, bigger is not always better, and big data require the same methodological considerations and interdisciplinary collaboration as "small data" to extract useful scientific insight.

摘要

虽然大数据的概念在过去十年中已经成为几乎所有科学研究领域的热门话题,但在自闭症研究中很少被提及。在这篇评论中,我们描述了与自闭症研究相关的大数据的各个方面,以及可能阻碍科学研究的混杂和数据错误等方法学问题。尽管大数据研究可能具有变革性的影响,但更大并不总是更好,而且大数据需要与“小数据”一样的方法学考虑和跨学科合作,以提取有用的科学见解。

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Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark.利用机器学习从家族病史数据预测自闭症风险:丹麦的一项全国队列研究
Biol Psychiatry Glob Open Sci. 2021 May 5;1(2):156-164. doi: 10.1016/j.bpsgos.2021.04.007. eCollection 2021 Aug.
2
Labor epidural analgesia and subsequent risk of offspring autism spectrum disorder and attention-deficit/hyperactivity disorder: a cross-national cohort study of 4.5 million individuals and their siblings.分娩时硬膜外镇痛与后代患自闭症谱系障碍和注意力缺陷多动障碍的后续风险:一项对450万人及其兄弟姐妹的跨国队列研究。
Am J Obstet Gynecol. 2023 Feb;228(2):233.e1-233.e12. doi: 10.1016/j.ajog.2022.08.016. Epub 2022 Aug 13.
3
Heterogeneity in Autism Spectrum Disorder Case-Finding Algorithms in United States Health Administrative Database Analyses.
美国健康管理数据库分析中自闭症谱系障碍病例发现算法的异质性。
J Autism Dev Disord. 2022 Sep;52(9):4150-4163. doi: 10.1007/s10803-021-05269-1. Epub 2021 Sep 28.
4
Labor Epidural Analgesia and Autism Spectrum Disorder: Is There an Association?分娩硬膜外镇痛与自闭症谱系障碍:存在关联吗?
JAMA. 2021 Sep 28;326(12):1155-1157. doi: 10.1001/jama.2021.15369.
5
Association of Labor Epidural Analgesia With Autism Spectrum Disorder in Children.劳动硬膜外镇痛与儿童自闭症谱系障碍的关联。
JAMA. 2021 Sep 28;326(12):1170-1177. doi: 10.1001/jama.2021.12655.
6
Association Between Epidural Analgesia During Labor and Risk of Autism Spectrum Disorders in Offspring.分娩时硬膜外镇痛与后代自闭症谱系障碍风险的关联。
JAMA Pediatr. 2020 Dec 1;174(12):1168-1175. doi: 10.1001/jamapediatrics.2020.3231.
7
Variability in the analysis of a single neuroimaging dataset by many teams.由多个团队对单个神经影像学数据集进行分析的可变性。
Nature. 2020 Jun;582(7810):84-88. doi: 10.1038/s41586-020-2314-9. Epub 2020 May 20.
8
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9
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