Microbiota and Long-Term Prognosis in Liver Cirrhosis by E. G. Malaeva, I. O. Stoma

“…The analysis of the difference in the proportional composition of the microbiome between the groups was carried out using polynomial Dirichlet modeling (Likelihood-Ratio-Test Statistics: Several Sample Dirichlet-Multinomial Test Comparison), the Mann-Whitney test with preliminary data transformation by CLR transformation (Centered log ratio transform), differential analysis of gene expression based on negative binomial distribution (DESeq2). …”
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Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study. by Kai Xiang Lim, Frühling Rijsdijk, Saskia P Hagenaars, Adam Socrates, Shing Wan Choi, Jonathan R I Coleman, Kylie P Glanville, Cathryn M Lewis, Jean-Baptiste Pingault

“…To further probe causal relationships, two-sample Mendelian randomisation (MR) analyses were conducted, with MDD, ADHD, and schizophrenia emerging as the most plausible causal risk factors for self-harm. …”
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Household transmission investigation for Corona Virus Disease 2019 (COVID-19) in a rural and urban population of north India. by Kapil Yadav, Subhashini K J, Suneeta Meena, Rakesh Kumar, Ravneet Kaur, Mohan Bairwa, Shashi Kant, Puneet Misra, Sanjay K Rai, Mohammad Ahmad, Anisur Rahman

“…We employed binomial logistic regression to quantify risk factors associated with infection.…”
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Education- and income-based inequalities of functional dentition by dental service utilization by Anna Rachel dos Santos Soares, Carlos Antonio Gomes da Cruz, Maria Luíza Viana Fonseca, Líria Sheila Chamane, Loliza Luiz Figueiredo Houri Chalub, Raquel Conceição Ferreira

“…All analyses accounted for the survey's complex sampling design and sample weights.ResultsThe prevalence of FD was 85.95% (2013) and 89.45% (2019) (p < 0.001). …”
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Association Between Opioid Use and Emergency Department Visits for Spine-Related Disorders by Okeke C, Okoye G, Thornton JD

“…We selected the zero-inflated negative binomial model, which had the best model fit based on the Akaike Information Criterion (AIC), to estimate the incident rate ratio of all-cause ED visits for opioid users compared to non-opioid users.Results: The final sample consisted of 8078 adult patients (18632323 weighted sample) with SRD diagnoses, among whom approximately 21% received opioid prescriptions. …”
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Sick leave due to musculoskeletal disorders: A prospective cohort study by Rigmor Harang Knutsen, Morten Birkeland Nielsen, Lars Kristian Lunde, Knut Inge Fostervold, Håkon A. Johannessen

“…Setting: A probability sample of 130 Norwegian municipalities and their respective home care services. …”
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Associations between neuropsychiatric symptoms and motoric cognitive risk syndrome by Fei-fei Jia, Chun-xiao Liu, Shao-Min Cheng, Xiao-yu Qian, Cong-di Wang

“…Abstract Introduction We examined the association between neuropsychiatric symptoms (NPS) and motoric cognitive risk syndrome (MCR), a predementia condition indicating a higher risk for dementia. Methods A sample of 2800 older adults (≥ 65 years) was analyzed using binomial logistic regression to investigate the cross-sectional relationship between specific NPS and MCR. …”
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Effect of mobile phone text message reminders on improving completeness and timeliness of routine childhood vaccinations in North-West, Ethiopia: a study protocol for randomised co... by Zeleke Abebaw Mekonnen, Binyam Tilahun, Kassahun Alemu, Martin Were

“…The trial will consider a sample size of 434 mother–infant pairs with 1:1 allocation ratio. …”
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Dairy Cattle Infection with Bovine Rotavirus at Different Growth Stages and Its Impact on Health and Productivity by Xinfeng Hou, Zheng Niu, Shengru Wu, Qian Du, Guanglei Liu, Lichen Nie, Changlei Zhu, Yudong Qiu, Yong Huang, Yangchun Cao, Dewen Tong

“…BRV was detected in rectal swabs via RT–qPCR. In the total sample of 2400 dairy cows examined at three farms, 103 (4.29%) were found to be positive for BRV. …”
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Investigating factors influencing utilization of trauma-focused cognitive behavioral therapy among unaccompanied young refugees: an exploratory analysis by Barbara Kasparik, Madina Farani, Elisa Pfeiffer, Cedric Sachser, Rita Rosner

“…Binomial logistic regression was performed to identify factors predicting the likelihood of intention to seek MHC. …”
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Prediction of success of slings in female stress incontinence, statistical and AI modeling by Bassem S. Wadie, Ahmed Abdelrasheed, Mohammed Taha, Ahmed Abdelrahman, Bassam Mohamed, Alaa Saber, Ahmed Badawi

“…Phase I included the construction of a prediction model using binomial logistic regression. In phase II, we applied AI techniques (Artificial neural network (ANN) and Support Vector Machines (SVM) trying to obtain better predictions. …”
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Older people at risk in times of pandemic? A qualitative study of coping narratives that support resilience in older people by Lucía Pérez Sánchez, Beatriz Guadalupe Maza Pérez, Guiana Fernández De Lara López

“…Method: qualitative descriptive cross-sectional ethnomethodological design, with a continuous inclusion sample, corresponding to 15 participants, between 64 and 85 years old, living in Mexico. …”
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Examining associations between individual and built environment characteristics and walking trip bouts: Evidence from the 2017 California household travel survey by Gilsu Pae, Gulsah Akar

“…Our analysis involved multilevel mixed-effects negative binomial regression with a sample of 32,178 individuals aged 18 and over. …”
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Gender-sensitive school environment and bullying victimization among adolescent girls: A multilevel study in Nepal. by Irina Bergenfeld, Cari Jo Clark, Zara Khan, Emma C Jackson, Kathryn M Yount

“…<h4>Methods</h4>The school sample included all 24 RtR GEP schools and 25 community schools attended by girls in a comparison cohort, representing 729 grade six girls with complete outcome data. …”
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Prevalence of vaping, vaping-associated short-term symptoms of respiratory and cardiovascular morbidities, and factors associated with the initiation of vaping among young adults i... by Aisha Altanaib, Arwa Alkhannah, Dhuha Alfouderi, Mariam Almutairi, Rawan Abdullah, Maryam Almuhaileej, Fajer Alqadeeri, Reema Alajmi, Loulwah Alenizi, Ahmad Alsultan, Saeed Akhtar

“…Conclusions A moderately high prevalence (15.5%) of vaping in the study sample was recorded. Male gender and some misplaced beliefs and perceptions were significantly associated with vaping status in the study sample. …”
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Estimating transmission heterogeneity and case ascertainment from variations in case counts in surveillance data by Dr Judith Bouman, Dr Jantien Backer, Dr Christian Althaus

“…Methods: We derived a mechanistic model of the data generating process of infectious disease case counts in surveillance data that incorporates a negative binomial offspring distribution for individual cases and the binomial sampling error from the observation process. …”
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Preparedness for care transitions to home and acute care use of skilled nursing facility patients by Mark Toles, Ying Zhang, Laura C. Hanson, Michael P. Cary, John S. Preisser

“…The association of preparedness and acute care use, in the overall study sample and within subgroups defined by five selected dyad background characteristics, was quantified as an incident rate ratio corresponding to the multiplicative change in the mean number of acute care use days for a 10 unit increase in CTM-15 score, using marginalized zero-inflated negative binomial regression. …”
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Prevalence and persistence of cost-related medication non-adherence before and during the COVID-19 pandemic among medicare patients at high risk of hospitalization. by James X Zhang, David O Meltzer

“…<h4>Objective</h4>To study cost-related medication non-adherence (CRN) for a 30-month period before and during the COVID-19 pandemic using a sample of Medicare patients at high risk of hospitalization.…”
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Social media use and adolescent sleep patterns: cross-sectional findings from the UK millennium cohort study by Holly Scott, Stephany M Biello, Heather Cleland Woods

“…Binomial logistic regressions investigated associations between daily social media use and each sleep parameter, controlling for a range of relevant covariates.Results Average social media use was 1 to &lt;3 hours per day (31.6%, n=3720). 33.7% were classed as low users (&lt;1 hour; n=3986); 13.9% were high users (3 to &lt;5 hours; n=1602) and 20.8% were very high users (5+ hours; n=2203). …”
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Determinants of COVID-19 vaccine uptake among persons with disabilities in three selected districts of Zambia. by Allan Mayaba Mwiinde, Isaac Fwemba, Joseph Mumba Zulu, Choolwe Jacobs, Patrick Kaonga

“…Out of the sample of 985, the proportion of COVID-19 vaccine uptake was 67.6% (95% CI: 65%, 71%). …”
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