PARTIAL LEAST SQUARES ON DATA WITH MISSING COVARIATES: A COMPARISON APPROACH by
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Designing a Commercialization Model for Research Achievements at a Military University Research Institute by Partial Least Squares Structural Equation Modeling
Background and Aim: Today, in universities and research institutes, the lack of attention to commercialization makes it impossible or difficult to enter the markets for technology and research products. therefore, this study aims to design a commercialization model for research achievements of a military research institute. Methods: This descriptive-analytic study was done in a cross-sectional ...
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Iron is an essential element used as supplement in different dosage-forms. Different time and expenditure-consuming methods introduced for detection and determination of elemental ions such as atomic absorption. In this research, two different and routine methods containing ATR-IR and atomic absorption were applied to define the amount of iron in 198 samples containing different concentrations ...
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Background and Aim: Logistic regression is an analytic tool widely used in medical and epidemiologic research. In many studies, we face data sets in which some of the data are not recorded. A simple way to deal with such "missing data" is to simply ignore the subjects with missing observations, and perform the analysis on cases for which complete data are available. Materials and Methods: We c...
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