Preventive Metformin Monotherapy Medication Prescription, Redemption and Socioeconomic Status in Hungary in 2018–2019: A Cross-Sectional Study
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- Róza Ádány & Péter Pikó & Szilvia Fiatal & Zsigmond Kósa & János Sándor & Éva Bíró & Karolina Kósa & György Paragh & Éva Bácsné Bába & Ilona Veres-Balajti & Klára Bíró & Orsolya Varga & Margit Balázs, 2020. "Prevalence of Insulin Resistance in the Hungarian General and Roma Populations as Defined by Using Data Generated in a Complex Health (Interview and Examination) Survey," IJERPH, MDPI, vol. 17(13), pages 1-22, July.
- Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
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Keywords
socioeconomic status; metformin; redemption rate; preventive medication;All these keywords.
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