“…METHOD: This was a retrospective, observational analysis of the English Hospital Episodes Statistics data-set for the period from 1 April 2018 to 31 March 2019, for patients aged 18–74 years with COPD as the dominant reason for admission. …”
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“…Along with computation of descriptive statistics, data analysis was performed using unpaired t-test. …”
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“…METHOD: We sought to identify obesity strategies/plans for Southampton and 19 other local authority comparators (based on children’s services and Office for National Statistics data). A healthy weight strategy was available for 10 local authorities and a qualitative document analysis was undertaken. …”
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“…Here, we use a genetic pleiotropy-informed conditional false discovery rate (FDR) method on GWAS summary statistics data to identify new loci associated with schizophrenia (SCZ) and bipolar disorders (BD), two highly heritable disorders with significant missing heritability. …”
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“…We calculated mortality rates using National Center for Health Statistics' data. We used joinpoint regression to determine annual percentage change (APC) in age-adjusted incidence rates. …”
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“…METHODS: Comparison of hospital LoS and associated costs in centres with greater access (Hull) and limited access (i.e. routine care, York and Northern Lincolnshire), to specialist rehabilitation services for patients with complex disabilities following illness or injury, using Hospital Episodes Statistics data. RESULTS: Average LoS and duration costs by Healthcare Resource Group (HRG) were lower for the majority of patients with greater access to specialist rehabilitation compared to routine care. …”
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“…Analysis of scRNA data involves a combination of non-trivial steps from statistics, data visualization, bioinformatics and machine learning. …”
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“…Group C received saline infiltration in the same technique. Statistically, data were analyzed according to its distribution using the t-test, Mann–Whitney, and Chi-square tests as appropriate. …”
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“…A fixed/random effects model was used according to the heterogeneity assessed by the I(2) statistic. Data analysis was performed using Stata 12.0 software. …”
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“…We collected GWAS summary statistics data for a wide range of human traits and diseases followed by rigorous quality control. …”
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“…METHODS: We use vital statistics data on deaths and Census Bureau population estimates and define area of residence as one of 704 commuting zones. …”
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“…The heterogeneity of studies was investigated using the I(2) statistic. Data were analyzed using the R and Stata software (version 14). …”
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“…This study drew on large scale, nationally representative data from the English Longitudinal Study of Ageing linked with Hospital Episode Statistics. Data were analysed using survival analysis, with self-reported falls (total sample = 4013) and falls require hospital admission being modelled separately (total sample = 9285). …”
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“…Specifically, we curated total of 5120 GWAS summary statistics data for a wide range of human traits and diseases followed by rigorous quality control. …”
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“…Desk reviews were conducted, using published program reports and national statistics. Data from country reports were compiled to present a regional assessment, challenges and recommendations. …”
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“…Mortality was assessed from vital statistics data. Adequate care was based on receipt of pharmacotherapy, follow-up care and psychotherapy. …”
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“…To answer this question, we looked at author affiliations of articles published in the Springer journal Computational Statistics (COST) and the Elsevier journal Computational Statistics & Data Analysis (CSDA) from 2015 to 2020 and used these data as a proxy to compare author productivity for authors with an affiliation in Africa in 2019 and 2020, compared to authors with an affiliation in Latin America in 2015 and 2016. …”
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“…However, few studies have examined the extent to which county-level trends in mortality can be explained by national, state, and metropolitan-level trends, and which county-specific factors contribute to remaining variation. Combining vital statistics data on deaths and Census data with time-varying county-level contextual characteristics, we use a spatially explicit Bayesian hierarchical model to analyze the associations between working-age mortality, state, metropolitan status and county-level socioeconomic conditions, family characteristics, labor market conditions, health behaviors, and population characteristics between 2000 and 2017. …”
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“…METHODS: Nationwide municipal-specific Vital Statistics data from 2013 to 2017 were used. We calculated the low birth weight rate and standardized incidence ratio (SIR) for low birth weight for each municipality and plotted them on a Japanese map. …”
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“…METHODS: We used Vital Statistics data on all births registered in Spain in the period 2016–2019. …”
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