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Current practice in preventing and handling missing data alongside clinical trials: are we doing well?
Manage episode 337445089 series 3381216
Oxford University에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Oxford University 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Reviewing the methodology surrounding missing data in research and statistical analysis, clarifying why it can contribute to misleading results. Missing data is present in almost all research. However, it is also a well-recognised problem in the analysis and reporting of clinical research due to its potential to introduce bias into the results. Patient-reported outcomes measures, which are increasingly used in clinical research, can be particularly susceptible to missing data. This presentation will review the methodology surrounding missing data in research and statistical analysis, clarifying why it can contribute to misleading results. Guidance for the handling and reporting of missing data in clinical research will be presented, and compared to current practice, with a focus on randomised controlled trials.
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23 에피소드
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