“…CONCLUSIONS: Failing to account for repeated measurements when analyzing RNA-Seq experiments can result in significantly inflated false positive and false discovery rates. …”
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“…The global structure of the gut microbiota as assessed by alpha and beta-diversity, was not altered by consumption of the product for four weeks. A zero-inflated beta regression model with random effects (ZIBR) identified a few bacterial genera with differential responses to test product consumption dose compared to control. …”
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“…Socioeconomic variables and incidence rates were assessed by using cross-sectional values at the end of each year. We used zero-inflated negative binomial regression to calculate incidence rate ratios (IRRs). …”
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“…Study outcomes included health-care utilization, direct medical costs, and indirect costs of asthma-related absenteeism. We used zero-inflated Poisson regression models to estimate incremental health-care utilization and generalized linear models to estimate incremental annual direct medical costs compared to patients without asthma. …”
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“…We used multilevel zero-inflated Poisson regression models to examine the association between proximity to an oil refinery and cancer rate. …”
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“…CONCLUSIONS: These results indicate that estimates of the degree of commitment to measures designed to counter the spread of the disease may be significantly inflated by social desirability in direct self-reports. …”
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“…Thus, gene predictors may inflate their results by obfuscating low false discovery rates. …”
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“…Without modeling the within sample correlation structure and without properly accounting for the correlation in downstream analysis, we demonstrate that estimates of power are falsely inflated. Hierarchicell can be used to estimate power for binary and continuous phenotypes based on user-specified number of independent experimental units (e.g., individuals) and cells within the experimental unit. …”
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“…Based on selenium content in topsoil, the CFRs gradually increased from 0.76% in non-selenium-deficient areas, to 1.70% in moderate-selenium-deficient areas, and further to 1.85% in severe-selenium-deficient areas (P < 0.001). The zero-inflated negative binomial regression model showed a significantly higher fatality risk in cities with severe-selenium-deficient selenium content in crops than non-selenium-deficient cities, with incidence rate ratio (IRR) of 3.88 (95% CIs: 1.21–12.52), which was further confirmed by regression fitting the association between CFR of COVID-19 and selenium content in topsoil, with the IRR of 2.38 (95% CIs: 1.14–4.98) for moderate-selenium-deficient cities and 3.06 (1.49–6.27) for severe-selenium-deficient cities. …”
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“…Fasting glucose concentrations and glycated hemoglobin (HbA1c) levels were measured. Zero-inflated negative binomial regression analyses of WMH volume and measures of glycemic status were performed while controlling for cardiovascular risk factors and multiple testing. …”
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“…Low educational attainment inflates the risk for both sexes, but high educational attainment is only associated with lower risk among men. …”
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“…According to simulation results, only one strategy, named MV(DLNM), could yield valid type I errors, while the other four strategies demonstrated much more inflated type I errors. With a real-life application, the MV(DLNM) that incorporates both the current and lag mortalities revealed a more significant association than the conventional model that only fits the current mortality. …”
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“…The blood pressure (BP) cuff was inflated until the patient signaled that they experienced pain, and this pressure value was noted. …”
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“…False equivalence (type I) error was inflated above the expected 5% level, but multiple batches controlled type I error better than a single batch. …”
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“…BACKGROUND: Hospital-acquired pressure injuries (PIs) induce significant patient suffering, inflate healthcare costs, and increase clinical co-morbidities. …”
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“…Other influencing factors including temperature and humidity, which are suggested by several authors to affect the spread of COVID-19 in some countries, are generally only considered by the most complex models and further serve to inflate the uncertainty. Here we use comparative and retrospective analyses to illuminate the aggregated effect of these systematic biases on ensemble-based model forecasts. …”
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“…A text message survey assessed missed doses of ART over the past week. Zero-inflated Poisson regression models were used to evaluate variables associated with the number of missed doses of ART. …”
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“…The i-gel Plus is a novel, anatomically preshaped supraglottic airway device which achieves a perilaryngeal seal due to a non-inflatable cuff made of a soft thermoplastic elastomer. …”
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“…Multivariable linear regression and zero-inflated negative binomial models were used to examine the independent effect of EHR system on practice-level quality measure performance, adjusting for practice characteristics and patient case-mix. …”
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“…In instances where optimal health (score of ‘1’) was observed then an extended version of beta distribution (called one—inflated beta) was applied. RESULTS: 4,425 LPNs responded to the survey. …”
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