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Information Journal Paper

Title

Multivariate logistic regression analysis using multilevel model

Pages

  1-5

Abstract

 Background & Aim: One of the basic assumptions in simple linear regression models is the statistical independence of observations. Sometimes this assumption is not true for study subject and consequently the use of general regression models may not be appropriate. In this case, one of the leading methods is the use of multilevel models. The present study utilizes multivariate logistic regression model using a multilevel model to exhibit the chance of having elbow, wrist and knee disorders over the past year based on elbow, wrist and disorders during the past week. Methods & Materials: This study is a cross-sectional study that was carried out from April 2015 to May 2016 in Mobarakeh Steel Company, Isfahan. The study population includes 300 male employees of Mobarakeh Steel Company, with a mean age of 41. 40± 8. 17 years and an average working experience of 16. 0± 7. 66 years. Data were analyzed using SPSS (version 24) and MLwiN software. Results: Based on this study, results obtained from single variable and multivariable regression were different. Conclusion: Based on this study, it can be suggested that multivariable regression cause a better and more accurate deduction compared to single variable method.

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    APA: Copy

    Vakili Basir, Ahmad, GHOLAMI FESHARAKI, MOHAMMAD, & ROWZATI, MOHSEN. (2018). Multivariate logistic regression analysis using multilevel model. JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY, 4(3), 1-5. SID. https://sid.ir/paper/308551/en

    Vancouver: Copy

    Vakili Basir Ahmad, GHOLAMI FESHARAKI MOHAMMAD, ROWZATI MOHSEN. Multivariate logistic regression analysis using multilevel model. JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY[Internet]. 2018;4(3):1-5. Available from: https://sid.ir/paper/308551/en

    IEEE: Copy

    Ahmad Vakili Basir, MOHAMMAD GHOLAMI FESHARAKI, and MOHSEN ROWZATI, “Multivariate logistic regression analysis using multilevel model,” JOURNAL OF BIOSTATISTICS AND EPIDEMIOLOGY, vol. 4, no. 3, pp. 1–5, 2018, [Online]. Available: https://sid.ir/paper/308551/en

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