To perform a multiple logistic regression analysis, you need to follow these steps: 1. Identify the dependent and independent variables. 2. Check for multicollinearity among independent variables. 3. Fit a multiple logistic regression model using software such as R or SPSS. 4. Evaluate the model...
Mean values were adjusted for all other factors included in the regression model and calculated as described inMethods(GLM contrast procedure of SPSS). A correction for the degrees of freedom was not directly implemented in this analysis. To prevent a “multiple testing” risk we have adopted the...
Surgeon: "Yes, I used multinomial logistic regression." Statistician: "Really? How did you come up with that?" Surgeon: "Well, I tried each analysis on the SPSS drop-down menus, and that was the one that gave the smallestPvalue". ...
The risk factors of dental caries and periodontal disease were established by multiple logistic regression model using SPSS statistical software. Results: The factors like frequency of brushing, timings of cleaning teeth and type of toothpastes are significant persistent predictors of dental caries and ...
Chi-square and logistic regression models were used for statistical analysis. The mean HU-DBI score of the clinical students was significantly higher than ... I Okwuje,E Anderson,RW Valachovic - 《Journal of Dental Education》 被引量: 190发表: 2010年 Computational Methods in Chemical Engineerin...
Analysis with SPSS (Versions Without MI Module) Following Multiple Imputation with Norm 2.03In this chapter, I cover analyses with SPSS (v. 16 or lower) following multiple imputation with Norm 2.03. This chapter also applies to newer versions of SPSS that do not have the MI module installed....
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How to Interpret Regression Results in Excel – Detailed Analysis How to Calculate P-Value in Linear Regression in Excel (3 Methods) How to Do Logistic Regression in Excel (with Quick Steps)About ExcelDemy.com ExcelDemy is a place where you can learn Excel, and get solutions to your Excel...
Multinomial logistic regression analysis was used to test the independent association between SRC characteristics and prehypertension/hypertension without and with further adjustment for serum renin level after controlling the effect of age, gender, body mass index, fasting plasma glucose, and eGFR. P<...
2.1. Statistical analysis Data were analysed using IBM SPSS Statistics for Windows, version 26 (IBM Corp., Armonk, N.Y., USA; 2019). Continuous data were compared using the independent samples t-test, if normally distributed (mean [standard deviation, SD]) or the Mann-Whitney U test, when...