Statistical data preparation: management of missing values and outliers

Missing values and outliers are frequently encountered while collecting data. The presence of missing values reduces the data available to be analyzed, compromising the statistical power of the study, and eventually the reliability of its results. In addition, it causes a significant bias in the res...

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Veröffentlicht in:	Korean journal of anesthesiology Jg. 70; H. 4; S. 407 - 411
Hauptverfasser:	Kwak, Sang Kyu, Kim, Jong Hae
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Korea (South) The Korean Society of Anesthesiologists 01.08.2017 Korean Society of Anesthesiologists 대한마취통증의학회
Schlagworte:	bias data collection data interpretation Statistical Round statistics 마취과학 Data collection Statistics Bias Data interpretation
ISSN:	2005-6419, 2005-7563
Online-Zugang:	Volltext
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