A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
The article is devoted to the problem of missing data in clinical trials and clinical studies. The author considered three mechanisms of generating of missing data in collected sample. Each mechanism type is reviewed in details in terms of its effects on sample representativeness and the magnitude of result bias. The ways to reduce probability and amount of missing data are pointed in the phase of planning and on the stage of statistical data processing and inference.doi:10.18821/1993-6508-2016-10-3-205-209 fatcat:jty2ugvzkrcy3nddljinelhmqu