Overview of multivariate regression model analysis and application
Analyses of the multivariate regression model are ued very widely in the medical research. Analytical methods of the mutivariate regression model including multiple linear regression, logistic regression, Poisson regression and Cox proportional hazard model were introduced in this article. The contents of the article covered the application conditions of regression models, analytical procedures, strategies of selecting independent variables, extended discussions of regression models and application notes. It is expected that authors could understand the principle of the mutivariate regression model, accurately use these analytical methods in their research, improve the efficiency of data utilization, and enhance the level of statistical analyses.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2019 |
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| Erschienen: |
2019 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:53 |
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| Enthalten in: |
Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine - 53(2019), 3 vom: 06. März, Seite 334-336 |
| Sprache: |
Chinesisch |
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| Beteiligte Personen: |
Yu, S C [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 18.07.2019 Date Revised 18.07.2019 published: Print Citation Status MEDLINE |
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| doi: |
10.3760/cma.j.issn.0253-9624.2019.03.020 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM294656944 |
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| 245 | 1 | 0 | |a Overview of multivariate regression model analysis and application |
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| 500 | |a Date Revised 18.07.2019 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Analyses of the multivariate regression model are ued very widely in the medical research. Analytical methods of the mutivariate regression model including multiple linear regression, logistic regression, Poisson regression and Cox proportional hazard model were introduced in this article. The contents of the article covered the application conditions of regression models, analytical procedures, strategies of selecting independent variables, extended discussions of regression models and application notes. It is expected that authors could understand the principle of the mutivariate regression model, accurately use these analytical methods in their research, improve the efficiency of data utilization, and enhance the level of statistical analyses | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
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| 650 | 4 | |a Overview | |
| 650 | 4 | |a Regression analysis | |
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| 700 | 1 | |a Wang, Q Q |e verfasserin |4 aut | |
| 700 | 1 | |a Yao, H Y |e verfasserin |4 aut | |
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