Comments on Statistical Issues in November 2014

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Comments on Statistical Issues in November 2015

purpose of this section is to show how many observations are actually analyzed in multivariate analyses, such as multiple linear regression analysis or multiple logistic regression analysis, when there are different numbers of missing values in each explanatory variable. Let’s perform a multiple linear regression using the following hypothetical data (Table 1). In this data, explanatory variabl...

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The analysis results of KNHANES data are usually presented as weighted mean±standard error of mean (SEM) or weighted proportion (SE). The reason for providing standard error instead of standard deviation is attributed to the fact that standard deviation only describes variation of sample data. On the other hand, standard error provides the precision of estimate (weighted mean/weight proportion)...

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Comments on Statistical Issues in May 2015

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One of the simplest and most widely used multiple comparison tests is the Bonferroni adjustment (test). It is applicable to the following situations: 1) Regardless of whether or not the sample sizes of each group are equal. 2) When the family of interest is the particular set of comparisons (not all pair-wise comparisons). We can easily obtain the results of the Bonferroni comparison by multipl...

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ژورنال

عنوان ژورنال: Korean Journal of Family Medicine

سال: 2014

ISSN: 2005-6443,2092-6715

DOI: 10.4082/kjfm.2014.35.6.325