نتایج جستجو برای: multivariable regression

تعداد نتایج: 329596  

Aboalghasem Heidarabadi Isaac Arjmand Siahpoush

The fashion and increase of consumers cultural is an important problem. This paper studies the effective Socio-Cultural Factors on the fashion trends among the girl student’s in Andimeshk. About 200 girls in Andimeshk (South west of Iran) were randomly chosen. The research method was survey and correlation with questionnaire. The data were analyzed through SPSS package along with Pearson coeffi...

Background Exposure to cigarette smoke has numerous health risks for infants and children. Home smoking ban is a simple way to reduce the detrimental impacts of cigarette smoke. This study aimed to determine the prevalence of cigarette smoking bans in homes as well as associated factors in families with infants in Tehran, Iran. Materials and Methods This study was a population-based cross-secti...

Abolghasem Fatehi Dahaghani Parvin Foroughiyan Seyyed Reza Naqibos Sadat

This paper studies the role of social security in the prevention of social deviances. About 304 of high school girl students in Shoush (South west of Iran) were (systematic) randomly chosen. The research method was survey with questionnaire. The data were analyzed through spss along with Pearson coefficient correlation, Analysis of Variance, multivariable regression and path analysis were used ...

Journal: :Journal of clinical epidemiology 2004
Cornelis J Biesheuvel Ivar Siccama Diederick E Grobbee Karel G M Moons

OBJECTIVE Genetic programming is a search method that can be used to solve complex associations between large numbers of variables. It has been used, for example, for myoelectrical signal recognition, but its value for medical prediction as in diagnostic and prognostic settings, has not been documented. STUDY DESIGN AND SETTING We compared genetic programming and the commonly used logistic re...

2016
Jordi Real Carles Forné Albert Roso-Llorach Jose M. Martínez-Sánchez

Controlling for confounders is a crucial step in analytical observational studies, and multivariable models are widely used as statistical adjustment techniques. However, the validation of the assumptions of the multivariable regression models (MRMs) should be made clear in scientific reporting. The objective of this study is to review the quality of statistical reporting of the most commonly u...

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