missing data


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missing data

EBM
A term used in the context of a clinical trial for:
(1) Data not completed or corrupted in reports and case report forms; or
(2) Data not captured when a subject withdraws from a trial.
 
Clinical trial reviewers are usually more concerned about non-captured data, as patients who are not improved or who believe they have experienced side effects are more prone to leave a trial, thus skewing the analysis of results if such analysis were only done on subjects who had continued with the trial. Trial designs therefore specify plans for how such missing data will be treated in analysis.
References in periodicals archive ?
As a result, it is stated that valid results obtained in missing data structures by used GEE and mixed model analysis.
The CHRs also do not account for uncertainty, despite their use of sample data for some components and an imputation process for missing data.
Present Missing Data Information And Recommendations To Resolve Data Gaps At Meeting
The importance of addressing intra-individual correlation and missing data has triggered the development of many advanced models and methods for longitudinal data analysis.
In fact, missing data is one of the most important methodological issues a pilot study or even the main one includes.
How missing data is treated can be very important depending on its extent and nature.
The authors attribute this to a lack of robustness in the measure, but it could also be due to missing data.
Currently, the missing data mechanisms defined by Rubin (1976) are well established in the literature: (a) data missing completely at random (MCAR); (b) data missing at random (MAR); and (c) missing not at random (MNAR).
5 algorithm, Naive Bayesian algorithm and K nearest neighbor (KNN) algorithm, which are compared using several popular missing data filling algorithms respectively based on a real crime dataset with lots of missing data.
Thus, the missing data provisions must address the void caused by eliminating BAMM, or BAMM sections must be retained.
Collection of missing data and additional analyses from a large study on ri-varoxaban failed to convince a Food and Drug Administration advisory panel to recommend approval of the anticoagulant drug for acute coronary syndrome.
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