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  1. 1941
    “…OBJECTIVE: To examine symptom severity and duration at time of referral to secondary care for heavy menstrual bleeding (HMB) by socioeconomic deprivation, age and ethnicity DESIGN: Cohort analysis of data from the National HMB Audit linked to Hospital Episode Statistics data. SETTING: English and Welsh National Health Services (secondary care): February 2011 to January 2012. …”
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  2. 1942
    “…OBJECTIVES: In response to public health concern about effects of arson at solid waste management plants in July 2012, we analysed vital statistics data to evaluate any potential effect on pregnancies at different gestational ages of pollutants emitted from the landfill on fire. …”
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  3. 1943
    “…METHODS: This population-based retrospective study used data from the Clinical Practice Research Datalink linked to Hospital Episode Statistics. Data were extracted from medical records dated January 1, 2005 to March 31, 2016. …”
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  4. 1944
    “…The eligible patient population was identified based on national statistics data. Different treatment costs pertaining to the population were applied according to the usage data (IQVIA Singapore National Sales Data) for different scenarios. …”
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  5. 1945
    “…CONCLUSION: MOHP-FP sector service statistics data could be used for the development of fifteen key performance indicators. …”
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  6. 1946
    “…In addition to descriptive statistics, data correlation and the comparison of the mean difference of analog measures (reference standards) and digital measures were tested. …”
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  7. 1947
    “…DESIGN: Decile of deprivation and underlying population distribution was derived using Office for National Statistics data. The risk of death was then derived using a Poisson regression model, calculating the increasing risk of death for each increasing deprivation decile. …”
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  8. 1948
  9. 1949
    “…Information collected from the FGDs was analyzed using thematic content analysis, and quantitative data were analyzed using univariate descriptive statistics. Data analysis was conducted from 30 November 2021 to 20 February 2022. …”
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  10. 1950
    “…The gut microbiota-related GWAS data from 18,340 individuals from the international consortium MiBioGen were used. The summary statistic data for T1D (n = 264,137) were obtained from the latest release from the FinnGen consortium as the outcome of interest. …”
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  11. 1951
    “…METHODS: We utilized publicly available genome-wide association study (GWAS) summary statistics data from European participants in the UK Biobank and the IEU Open GWAS database. …”
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  12. 1952
    “…The outcome measures were HE, PE, and pharmaceutical sales data for ATC level 1 medicines from OECD Health Statistics data during 2011 - 2020. As OECD collects limited ATC level 1 data, we used the HIRA health insurance claims data for PEs of ATC level-1 classification, including D, L, P, and S. …”
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  13. 1953
  14. 1954
  15. 1955
    “…PARTICIPANTS: 815 477 females aged 18-45 years (mean age 30.4 years) who had documented evidence of a first SARS-CoV-2 infection in the NHS Test and Trace or Hospital Episode Statistics data. MAIN OUTCOME MEASURES: Hospital admission where covid-19 was recorded as the primary diagnosis. …”
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  16. 1956
    “…METHODS: To assess this relationship, we conducted a two-sample Mendelian randomization (MR) using summary statistics data from published genome-wide association studies (GWAS). …”
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  17. 1957
    “…MATERIALS AND METHODS: Using U.S. Cancer Statistics data, we investigated incidence trends from 2001–2019, overall and according to age, sex, race/ethnicity, and state of residence. …”
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  18. 1958
    por Giancarlo, Raffaele, Utro, Filippo
    Publicado 2011
    “…BACKGROUND: The inference of the number of clusters in a dataset, a fundamental problem in Statistics, Data Analysis and Classification, is usually addressed via internal validation measures. …”
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  19. 1959
    “…Main outcome measures Outcomes were treated depression and fatal and non-fatal self harm within three months of the first smoking cessation prescription, determined from linkage with mortality data from the Office for National Statistics (for suicide) and Hospital Episode Statistics data (for hospital admissions relating to non-fatal self harm). …”
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  20. 1960
    “…METHODS: Case study based on patients who were eligible to participate in the English National PROMs Programme for elective surgery (hip and knee replacement, groin hernia repair, varicose vein surgery) using data from pre-operative questionnaires and Hospital Episode Statistics. Data were linked to determine: the eligibility for including operations; eligibility of date of surgery; duplicate questionnaires; cancelled operations; correct assignment to provider. …”
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