Data missing: how to solve and how to escape the problem
Galina P. Tikhova
Regional Anesthesia and Acute Pain Management ›› 2016, Vol. 10 ›› Issue (3) : 205 -209.
Data missing: how to solve and how to escape the problem
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.
clinical study / missing data / MCAR / MNAR / MAR
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