Multiple linear regression showing predicting effects of independent variables and identify the significant predictors of dementia mortality. by Wenpeng You (5532983)

“…<p>Multiple linear regression showing predicting effects of independent variables and identify the significant predictors of dementia mortality.…”

Logistic regression of independent variables which showed a statistically significant association with medication adherence status. by Israel Abebrese Sefah (9991841)

“…<p>Logistic regression of independent variables which showed a statistically significant association with medication adherence status.…”

Significance of the association with LTL of 39 explanatory variables in three regression models, as measured by the absolute value of the t-ratio. by Luis Rosero-Bixby (2601370)

“…<p>Significance of the association with LTL of 39 explanatory variables in three regression models, as measured by the absolute value of the t-ratio.…”

Logistic regression with postoperative lower limb alignment as the dependent variable. by Xun Qin (12325385)

Subjects:

Multiple Linear Regression with Postoperative HKA Angle as the Dependent Variable. by Xun Qin (12325385)

Subjects:

Interaction plots of significant race interactions for engineering. by Timothy J. Kinoshita (8781128)

Interaction plots of significant gender interactions for engineering. by Timothy J. Kinoshita (8781128)

Description of digital transformation regression model variables. by Yunpei Wang (18114836)

Results of logistic regression analysis with binary mental health variable as outcome variable. by Sandra Claudia Gewalt (6162872)

Regression results of alleviating omitted variables. by Xingye Jin (18515917)

Regression results of instrumental variables. by Jie Yan (119530)

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

“…Nevertheless, research on glycosyltransferase-related lncRNAs (GTRLs) in endometrial cancer (EC) is still unclear. In this study, we constructed a novel prognostic model based on GTRLs using univariate Cox regression, Lasso, and multivariate stepwise Cox regression analysis. …”

Univariate logistic regression of variables, stratified by age. by Daniella Justesen (22170253)

Meaning and explanation of ERGM regression variables. by Ye Chen (241426)

Regression results of instrumental variables: Provincial distance. by Linzhi Han (10655849)

Regression analysis of sociodemographic variables on cervical cancer screening. by Dominique Guillaume (1695670)

Results of logistic regression analysis using utilisation status as the dependent variable for statically significant factors in bivariate analyses. by Thilini Herath (18309934)

“…<p>Results of logistic regression analysis using utilisation status as the dependent variable for statically significant factors in bivariate analyses.…”

Description and summary of variables used for the regressions. by Mesele Belay Zegeye (18831351)

Regression results for adding control variables. by Chunlian Zhang (826828)

Regression results for replacing core variables. by Chunlian Zhang (826828)