Logistic regression: The final common model and simple effects testing. by Bernadeta Lelonek-Kuleta (14149751)

Logistic regression–the final common model and simple effects testing. by Bernadeta Lelonek-Kuleta (14149751)

Basic regression results. by Ni Chen (165261)

Distribution of no. of significant villages and regression coefficients estimated by MGWR model. by Chengxiang Wang (1435768)

Recommended focus of vaccination companies for increase of vaccination willingness based on significant effects of the logistic regression analyses. by Julia Brailovskaia (3374045)

“…<p>Recommended focus of vaccination companies for increase of vaccination willingness based on significant effects of the logistic regression analyses.…”

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

Subjects:

Clinical symptoms significantly associated with human tuberculosis in the Bayesian mixed-effects multivariable logistic regression model. by Mohammad Kamruzzaman Khan (10204425)

“…<p>Clinical symptoms significantly associated with human tuberculosis in the Bayesian mixed-effects multivariable logistic regression model.…”

Semiparametric regression with fixed effects. by Jianxin Mao (5856602)

Regression Results of the Moderating Effect. by Jianxin Mao (5856602)

Multinomial regression estimates of demographic, resource, and perception factors influencing household food security by gender of decision. by Nancy Ndung’u (21601567)

Subjects:

Effects of GJE extract treatment decreased serum ALT and AST levels. by Natnicha Suttawong (22367172)

P values of Kruskal–Wallis test at 95% significance level. by Fahd Saeed Alakbari (10701871)

Accuracy of predicted municipality-level winter wheat yields as a function of an acceptable error. by Keach Murakami (11576825)

Subjects:

Baseline regression results (II). by Ningning Hu (818611)

“…The heterogeneity analysis found that the impact of mobile payment on household consumption was affected by income level, dependency structure, and regional attributes, and the low-income and high-income groups benefited more significantly, and the consumption promotion effect in the eastern and central regions was greater than that in the western and northeastern regions. …”

Baseline regression results (I). by Ningning Hu (818611)

“…The heterogeneity analysis found that the impact of mobile payment on household consumption was affected by income level, dependency structure, and regional attributes, and the low-income and high-income groups benefited more significantly, and the consumption promotion effect in the eastern and central regions was greater than that in the western and northeastern regions. …”

Baseline regression results (III). by Ningning Hu (818611)

“…The heterogeneity analysis found that the impact of mobile payment on household consumption was affected by income level, dependency structure, and regional attributes, and the low-income and high-income groups benefited more significantly, and the consumption promotion effect in the eastern and central regions was greater than that in the western and northeastern regions. …”

Predicted probabilities of the <i>E</i>. <i>coli</i> isolate being resistant to each drug calculated from the multivariable mixed effect logistic regression analysis. by Rima D. Shrestha (13172631)

Subjects:

Spatiotemporal pattern evolution of the health level of older adults in the Yangtze River Economic Belt. by Mengmeng Yang (475288)

Subjects:

Pooled regression results (fixed effects). by Przemysław Mućko (14439325)

Posterior, mid-posterior, central, and mid-anterior corpus callosal volume significantly decreased with increasing risk of environmental lead exposure. by Andrew T. Marshall (10159199)