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Current Practice In Japan for the Prevention and Treatment of Missing Data in Confirmatory Clinical Trials:A Survey of Japanese and Foreign Pharmaceutical Manufacturers

机译:日本预防和治疗验证性临床试验中的数据丢失的现行做法:对日本和国外制药商的调查

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摘要

This study aims to survey the current practice in japan for the prevention and treatment of missing data in clinical trials since the publication of regulatory guidelines on missing data issues. A web-based questionnaire was conducted among 65 member companies of the Japan Pharmaceutical Manufacturers Association in 2013. Responses were obtained on 187 clinical trials from 55 companies, including 42 based in Japan and 13 based in other countries. Missing data were most frequent in trials involving the central nervous system (65.2% had > 10% missing data). Overall, last observation carried forward (LOCF) was the most popular method for handling missing data (45.0%), followed by mixed-effect models for repeated measures (15.5%), although this was used as frequently as LOCF imputation in central nervous system trials. Even after the publication of regulatory guidelines discouraging use of LOCF, LOCF imputation remains the most popular method for treating missing data among pharmaceutical manufacturers in Japan.
机译:这项研究旨在调查自从有关缺失数据问题的法规指南发布以来,日本在临床试验中预防和治疗缺失数据的现行做法。 2013年,对日本制药厂商协会的65家成员公司进行了基于网络的调查问卷。对55家公司的187种临床试验进行了回应,其中包括日本的42家和其他国家的13家。在涉及中枢神经系统的试验中,数据丢失最常见(65.2%的数据丢失> 10%)。总体而言,上次结转观察值(LOCF)是处理丢失数据的最受欢迎的方法(45.0%),其次是重复测量的混合效应模型(15.5%),尽管它在中枢神经系统中的LOCF归因频率很高。审判。即使在禁止使用LOCF的法规指南发布之后,LOCF插补仍然是日本制药商中最常用的丢失数据处理方法。

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