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In our commitment to fostering active engagement within our community, priority registration will be granted to our active members. This is your chance to secure your spot in the workshop and enhance your expertise in statistic.

In the seminar, the basic theory on how MRA or MLRA can solve biases by disentangling between-parameter complexities. For clear understanding, multiple real-world example
datasets will be provided for practicum. The visualization function and 3D-datasheet capability of StatFlex will facilitate understanding of the theory and practical utility of MRA and MLRA. The latter will be often used for datasets obtained from a case-control study that aims at finding a parameter useful for the diagnosis. As a special case, when only single diagnostic parameter is involved in the analysis, univariate logistic regression analysis is equivalent to the so-called ROC analysis. Therefore, theory and practice on ROC analysis will proceed those of MLRA for ease of understanding.

Using the software as a practical tool, this seminar will provide an introductory course on multivariate analyses. We will cover two most frequently used techniques called multiple regression analysis (MRA) and multiple logistic regression analysis (MLRA). They are frequently used to clarify relationships among parameters in datasets obtained from observational studies. Because of complexities among the relationships, analytical biased called “confounding” and “interaction” are inevitable