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SSRN
The Four-Fifths Rule is Not Disparate Impact: A Woeful Tale of Epistemic Trespassing in Algorithmic Fairness
In: Parity Technologies, Inc., Technical Report P22-1, v0.2.2
SSRN
Alcohol, Alcoholic Beverages and Risk of Esophageal Cancer by Histological Type: A Dose–Response Meta-Analysis of Observational Studies
In: Alcohol and alcoholism: the international journal of the Medical Council on Alcoholism (MCA) and the journal of the European Society for Biomedical Research on Alcoholism (ESBRA), Band 55, Heft 5, S. 457-467
ISSN: 1464-3502
Abstract
Aims
We conducted a dose–response meta-analysis to explore the association between alcohol and particular alcoholic beverages with risk of esophageal cancer (EC) by histological type [esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC)] and whether the association differs according to gender.
Methods
PubMed and Web of Science databases were searched for relevant articles published between January 1960 and December 2019. The pooled relative ratios (RRs) and 95% confidence interval (CI) were calculated with the fixed or random effect model. The dose–response relationship was assessed by restricted cubic spline.
Results
A total of 74 published articles involving 31,105 cases among 3,369,024 participants were included in this meta-analysis. The pooled RRs of the highest versus lowest alcohol intake were 3.67 (95% CI, 2.89,4.67) for EC, 5.11 (95% CI, 3.60,7.25) for ESCC and 0.96 (95% CI, 0.79,1.16) for EAC. The above-mentioned associations were observed in cohort design, for different alcoholic beverages (beer, wine and liquor/spirits) and gender. Evidence of a nonlinear dose–response relationship for EC risk with alcohol intake was found (Pnon-linearity < 0.001), and a linear relationship (Pnon-linearity = 0.216) suggested that the risk of ESCC increased by 33% for every 12.5 g/day increment of alcohol intake.
Conclusions
This meta-analysis suggests that alcohol intake might significantly increase the incidence of EC, especially for ESCC.
Copper Price Prediction Using Lstm Recurrent Neural Network and Simulation Annealing Algorithm
In: JRPO-D-22-00230
SSRN
Identification of Ecological Security Patterns of Alpine Wetland Grasslands Based on Landscape Ecological Risks: A Study in Zoigê County
In: STOTEN-D-24-03033
SSRN
Bacteria-based biochar as a persulfate activator to degrade organic pollutants
In: Environmental science and pollution research: ESPR, Band 30, Heft 35, S. 83289-83301
ISSN: 1614-7499
Space-time distribution of manganese ore deposits along the southern margin of the South China Block, in the context of Palaeo-Tethyan evolution
In: International Geology Review, Band 60, Heft 1, S. 72-86
Intermolecular Hydrogen Bond Modulating the Selective Coupling of Protons and Co2 to Ch4 Over Nitrogen-Doped Carbon Layers Modified Cobalt
In: CEJ-D-22-02308
SSRN
Suppression of Androgen Receptor (AR)-ACE2/TMPRSS2 Axis by AR Antagonists May Be Therapeutically Beneficial for Male COVID-19 Patients
SSRN
Working paper