首页> 外文期刊>Seminars in Arthritis and Rheumatism >Sample size calculations for detecting disease-modifying osteoarthritis drug effects on the incidence of end-stage knee osteoarthritis in clinical trials: Data from the Osteoarthritis Initiative
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Sample size calculations for detecting disease-modifying osteoarthritis drug effects on the incidence of end-stage knee osteoarthritis in clinical trials: Data from the Osteoarthritis Initiative

机译:用于检测疾病修饰骨关节炎药物对临床试验中末期膝关节骨关节炎发病率的样本尺寸计算:来自骨关节炎倡议的数据

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摘要

Objective: We previously published data representing calculations for sample sizes assuming that the reduction of the incidence of knee joint replacement (KJR) would be an endpoint to prove efficacy of a disease modifying drug in osteoarthritis (DMOAD). The sample sizes required for such hypothetical studies appeared to be high, rendering those studies unrealistic in the clinical research setting for practical reasons. The purpose of this work is to calculate sample sizes for hypothetical trials for DMOAD efficacy using a proxy for reaching end-stage knee osteoarthritis (esKOA) as an endpoint.
机译:目的:我们之前公布了代表样本尺寸计算的数据,假设膝关节置换置换率(KJR)的发生率降低是一种终点,以证明疾病改性药物在骨关节炎(DMoad)中的疗效。 这种假设研究所需的样本尺寸似乎很高,以实际原因在临床研究环境中使这些研究不切实际。 这项工作的目的是使用代理作为端点来计算DMoad疗效的假设试验的样本尺寸。

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