Probability of Cost-Effectiveness Across CET. by Yiping An (20609789)

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Base-case analysis. by Yiping An (20609789)

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Cost-effectiveness acceptability curve. by Yiping An (20609789)

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Markov model. by Yiping An (20609789)

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Incremental cost-effectiveness scatter plot. by Yiping An (20609789)

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One-way sensitivity analysis. by Yiping An (20609789)

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ICER changes with time horizon. by Yiping An (20609789)

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Spatiotemporal changes in factors influencing the health level of older adults in the Yangtze River Economic Belt, 2010–2020. by Mengmeng Yang (475288)

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Bar charts of hepatic mRNA expression levels of nuclear factor erythroid 2-related factor 2 (Nrf2), glutathione peroxidase 1 (GPx1), superoxide dismutase 1 (SOD1), and catalase (CA... by Taher Mohammadizad (19786989)

The effect of CWI on (A) creatinine levels, (B) estimated glomerular filtration rate (eGFR) and correlations between these parameters before (C) and after (D) CWI in young healthy... by Aneta Teległów (9570190)

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The effect of CWI on blood levels of (A) thyroid-stimulating hormone (TSH) and (B) testosterone in young healthy males. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of CK, CK-MB and LDH before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of liver profile parameters before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of renal profile parameters before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of hormonal parameters before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of electrolyte concentrations before and after CWI. by Aneta Teległów (9570190)

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Mean values (± standard deviation) of lipid profile parameters before and after CWI. by Aneta Teległów (9570190)

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The effect of CWI on blood levels of (A) creatine kinase (CK); (B) CK-muscle brain (CK-MB) and (C) lactate dehydrogenase (LDH) in young healthy males. by Aneta Teległów (9570190)

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Description of various production factors. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Multilevel regression of factors associated with intimate partner sexual violence in Zambia from 2007 to 2018 using adjusted odds ratio and 95% CIs. by Simona Simona (3819244)

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