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Articles published in
J Clin Epidemiol
    May 2023
  1. PAMPORIS K, Bougioukas KI, Karakasis P, Papageorgiou D, et al
    Overviews of reviews in the cardiovascular field underreported critical methodological and transparency characteristics: a methodological study based on the PRIOR statement.
    J Clin Epidemiol. 2023 May 26:S0895-4356(23)00130.
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  2. KIM H, Shahbal H, Parpia S, Averbuch T, et al
    Trials using composite outcomes neglect the presence of competing risks: A methodological survey of cardiovascular studies.
    J Clin Epidemiol. 2023 May 26:S0895-4356(23)00128.
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    November 2022
  3. STREETER AJ, Rodgers LR, Hamilton F, Masoli JAH, et al
    Influenza vaccination reduced myocardial infarctions in United Kingdom older adults: a prior event rate ratio study.
    J Clin Epidemiol. 2022;151:122-131.
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    April 2022
  4. GROENHOF TKJ, Mostert M, Lea NC, Haitjema S, et al
    How Traditional Informed Consent Impairs Inclusivity in a Learning Healthcare System: Lessons Learned from the Utrecht Cardiovascular Cohort.
    J Clin Epidemiol. 2022 Apr 30. pii: S0895-4356(22)00114.
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  5. TERVONEN T, Prawitz T, Chua GN, Hyacinthe J, et al
    Net clinical benefit of antiplatelet therapy was affected by patient preferences: A personalized benefit-risk assessment.
    J Clin Epidemiol. 2022;144:84-92.
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    January 2022
  6. BERKELMANS GFN, Read SH, Gudbjornsdottir S, Wild SH, et al
    Population median imputation was noninferior to complex approaches for imputing missing values in cardiovascular prediction models in clinical practice.
    J Clin Epidemiol. 2022 Jan 20. pii: S0895-4356(22)00017.
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    December 2021
  7. FAHIMFAR N, Malekzadeh R, Fotouhi A, Mansournia MA, et al
    An office-based cardiovascular prediction model developed and validated in cohort studies of a middle-income country: Developing and validating an office-based model to predict cardiovascular mortality using cohorts of a middle-income country.
    J Clin Epidemiol. 2021 Dec 14. pii: S0895-4356(21)00420.
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    May 2021
  8. COWLING TE, Cromwell DA, Bellot A, Sharples LD, et al
    Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.
    J Clin Epidemiol. 2021;133:43-52.
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