ArticleJournal of data science : JDS2014
On the implication of structural zeros as independent variables in regression analysis: applications to alcohol research.
Article in Journal of data science : JDS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
13 citing papers in PubMed, 26 citations in OpenAlex.
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- Association Between Body Iron Status and Biological Aging.Nutrients · 2025Article
- Adiposity throughout Adulthood and Risk of Young-Onset Breast Cancer Tumor Subtypes in the Young Women's Health History Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024Article
- Effect of serum concentrations of IL-6 and TNF-α on brain structure in anorexia nervosa: a combined cross-sectional and longitudinal study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- A test of competing mediators linking trouble sleeping to cannabis use in adolescents and emerging adults.Experimental and clinical psychopharmacology · 2024Article
- Models for Zero-Inflated and Overdispersed Correlated Count Data: An Application to Cigarette Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- The association between plasma metabolites and sleep quality in the Southall and Brent Revisited (SABRE) Study: A cross-sectional analysis.Journal of sleep research · 2021Article
- Association of teleworking and smoking behavior of U.S. wage and salary workers.Journal of occupational health · 2021Article
- A GEE-type approach to untangle structural and random zeros in predictors.Statistical methods in medical research · 2019Article
- Untangle the Structural and Random Zeros in Statistical Modelings.Journal of applied statistics · 2018Article
- Structural zeroes and zero-inflated models.Shanghai archives of psychiatry · 2014Article
- Use of Child Care Attenuates the Link Between Decreased Maternal Sleep and Increased Depressive Symptoms.Journal of developmental and behavioral pediatrics : JDBPArticle
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
In alcohol studies, drinking outcomes such as number of days of any alcohol drinking (DAD) over a period of time do not precisely capture the differences among subjects in a study population of interest. For example, the value of 0 on DAD could mean that the subject was continually abstinent from drinking such as lifetime abstainers or the subject was alcoholic, but happened not to use any alcohol during the period of interest. In statistics, zeros of the first kind are called structural zeros, to distinguish them from the sampling zeros of the second type. As the example indicates, the structural and sampling zeros represent two groups of subjects with quite different psychosocial outcomes. In the literature on alcohol use, although many recent studies have begun to explicitly account for the differences between the two types of zeros in modeling drinking variables as a response, none has acknowledged the implications of the different types of zeros when such modeling drinking variables are used as a predictor. This paper serves as the first attempt to tackle the latter issue and illustrate the importance of disentangling the structural and sampling zeros by using simulated as well as real study data.
Indexed as
Identifiers
28989340PMC5628625W2741560533What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.