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  1. 1981
    “…SETTING: National Health Service using the national Hospital Episode Statistics data set linked to mortality records over a 19-year period (01 April 1998–31 March 2017). …”
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    Low rates of serious complications and further procedures following surgery for base of thumb osteoarthritis: analysis of a national cohort of 43 076 surgeries
  2. 1982
    “…We identified potential safety signals using a hierarchical tree‐based scan statistic data mining method with the hierarchical outcome tree constructed based on international classification of disease coding. …”
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    A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes
  3. 1983
    “…This study involved computing descriptive statistics, data visualization, repeated measures analysis of variances (rmANOVA), and survival analyses. …”
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    The Impact of Cognition on Motor Learning and Skill Acquisition Using a Robot Intervention in Infants With Cerebral Palsy
  4. 1984
    “…METHODS: We incorporated vital statistics data as follows: age-based, sex-based and International Classification of Diseases, 10th Revision-based cause-specific deaths and calculated YLLs by ages 0, 40, 65 and 75 and sex for attributable causes of death for heart diseases, cerebrovascular diseases, pneumonia, all cancers and specific cancers; breast cancer, colorectal cancer, leukaemia, lung cancer, stomach cancer and uterine cancer for predisaster and postdisaster in the subject area. …”
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    Was there an improvement in the years of life lost (YLLs) for non-communicable diseases in the Soma and Minamisoma cities of Fukushima after the 2011 disaster? A longitudinal study
  5. 1985
    “…However, based on the national birth statistics data, the overall follow-up rate of the KNN at 36 months of age was as low as 29%. …”
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    Growth Pattern With Morbidities From Birth to 5 Years of Age in Very Low Birth Weight Infants: Comparison of the Korean National Network and National Health Insurance Service
  6. 1986
    “…DESIGN: A cross-sectional study based on (2010 & 2019) countrywide Health Nutrition and Population Statistics data. POPULATION: People ages 20–79 who have diabetes. …”
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    Lifestyle and socioeconomic determinants of diabetes: Evidence from country-level data
  7. 1987
    “…METHOD: By linking Medicare claims and Vital Statistics data, we examined the weekly excess all-cause mortality rate, comparing the rate from March 12, 2020, to December 31, 2020, to the rate from January 1, 2019, to March 11, 2020. …”
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    Excess Mortality Among Assisted Living Residents With Dementia During the COVID-19 Pandemic
  8. 1988
    “…SETTING: Hospital Episode Statistics data from all neurosurgical units in England. …”
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    Mortality as an indicator of quality of neurosurgical care in England: a retrospective cohort study
  9. 1989
    “…METHODS: We reviewed published data and analyzed overall and age-specific trends for rates from the pre-vaccine period (1990–1994) through 2019 for varicella incidence using National Notifiable Diseases Surveillance System data, hospitalizations using National Inpatient Sample data, and deaths using National Center for Health Statistics data. We present trends in persons aged < 50 years, which captures most varicella burden and avoids misclassified herpes zoster in older people. …”
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    801. IDSA Featured Oral Abstract: 25 Years of Varicella Vaccination Program in the United States: Health Impact during 1995–2019
  10. 1990
    “…METHODS: Data from the British Thoracic Society national CAP audit on patients admitted to hospital with CAP in England between 1 December 2018 and 31 January 2019 were linked to patient-level Hospital Episode Statistics data and Index of Multiple Deprivation (IMD) scores. …”
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    Impact of social deprivation on clinical outcomes of adults hospitalised with community-acquired pneumonia in England: a retrospective cohort study
  11. 1991
    “…The outcome was a composite of fatal and non-fatal opioid overdoses during a 90-day post-discharge observation period, identified using electronic health record (EHR) and vital statistics data. Risk intervals included days 0–6 after index and subsequent hospital discharges. …”
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    Opioid Overdose Risk Following Hospital Discharge Among Individuals Prescribed Long-Term Opioid Therapy: a Risk Interval Analysis
  12. 1992
    “…These results should be viewed cautiously, because the improved outcomes for SITT in the ETHOS final retrieved vital statistics data were not statistically significant for all comparator therapy groups.…”
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    PROMETHEUS: Long-Term Exacerbation and Mortality Benefits of Implementing Single-Inhaler Triple Therapy in the US COPD Population
  13. 1993
    “…METHOD: We use Swiss Federal Statistics data including 98.3% of all women giving birth from 2014 to 2018. …”
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    Making the cut on caesarean section: a logistic regression analysis on factors favouring caesarean sections without medical indication in comparison to spontaneous vaginal birth
  14. 1994
    “…Hence, we aimed to estimate gains in healthy life expectancy from the elimination of musculoskeletal diseases and injuries by using recent national health statistics data in Japan. METHODS: Mortality data were taken from Japanese national life tables and death certificates in 2016. …”
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    Impact of musculoskeletal disorders on healthy life expectancy in Japan
  15. 1995
    “…METHODS: We developed a multi-polygenic risk score (multiPRS) that combines ten weighted PRSs (10 wPRS) composed of 598 SNPs associated with main risk factors and outcomes of type 2 diabetes, derived from summary statistics data of genome-wide association studies. The 10 wPRS, first principal component of ethnicity, sex, age at onset and diabetes duration were included into one logistic regression model to predict micro- and macrovascular outcomes in 4098 participants in the ADVANCE study and 17,604 individuals with type 2 diabetes in the UK Biobank study. …”
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    Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control
  16. 1996
    “…METHODS: Clinical Practice Research Datalink (CPRD) Aurum and Hospital Episode Statistics data were used to identify patients registered at general practices in the UK, who had a diagnosis of COPD, were over the age of 40 years, were smokers or ex-smokers and had data recorded from 2004 onwards. …”
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    Frequency and Severity of Exacerbations of COPD Associated with Future Risk of Exacerbations and Mortality: A UK Routine Health Care Data Study
  17. 1997
    “…METHODS: This retrospective cohort study utilized anonymized patient data from 1 January 2018 to 31 December 2019 from the Clinical Practice Research Datalink (CPRD) database linked to English Hospital Episode Statistics data. Eligible patients were female, aged ≥12 years, had received an index diagnosis for a community-acquired uUTI, had ≥12 months’ CPRD data history, and had received ≥1 oral antibiotic within ±5 days of diagnosis. …”
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    P17 Baseline characteristics, disease progression rates and risk factors among female patients with uncomplicated urinary tract infection in England
  18. 1998
    “…Female patients ≥12 years with a diagnosis of community-acquired uUTI (index), who had received ≥1 oral antibiotic within ±5 days of index and had ≥14 months of CPRD data linked to English Hospital Episode Statistics data, were included. Patients who attended an accident and emergency department for urologic reasons, were hospitalized 28 days pre-index, or had complicated UTI or complicating comorbidities were excluded. uUTI episodes were defined as the 28-days post-index and follow-up data was captured through 29 February 2020, for a potential episode extension due to re-prescription. …”
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    P18 Treatment patterns and extent of inappropriate antimicrobial treatment among female patients with uncomplicated urinary tract infection in England
  19. 1999
    “…Observation data were analysed using descriptive statistics. Data were triangulated and comparative analyses conducted across schools. …”
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    O.6.1-6 Process evaluation findings of the CHARMING intervention: exploring the involvement of community- and peer role models within a school-based physical activity intervention
  20. 2000
    “…It is also a fundamental question in Statistics, Data Analysis and Classification, in particular with regard to the prediction of the number of clusters in a dataset, usually established via internal validation measures. …”
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    Computational cluster validation for microarray data analysis: experimental assessment of Clest, Consensus Clustering, Figure of Merit, Gap Statistics and Model Explorer
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