Cox regression analysis results. by Zhendong Sun (4723221)

“…Single-factor analysis based on the Product-Limit (PL) approach suggests that the cumulative survival and relative risk curves of parking duration exhibit slight variations across different temporal categories and weather conditions. Based on Cox semi-parametric multi-factor analysis results, the parking duration is significantly influenced by weekdays (regression coefficient = 0.068, hazard ratio = 1.071, P < 0.001), weekends (regression coefficient = 0.042, hazard ratio = 1.043,P < 0.001), moderate rain (regression coefficient = -0.089, hazard ratio = 0.914, P < 0.001), and heavy rain (regression coefficient = 0.030, hazard ratio = 1.030,P = 0.034 < 0.05). …”

Cox proportional hazards regression model. by Susana Mondschein (9417260)

Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

Subjects:

Multivariate Cox regression analysis. by Mélanie Bézard (11436860)

Test the proportional hazard assumptions of Cox regression. by Sarmistha Paul Setu (17138165)

Cox multivariate regression analysis table. by Yuanzheng Zhao (10035836)

“…Furthermore, we examined how this combined indicator influences five-year overall survival (OS) outcomes following gastric cancer surgery using Cox multivariate regression analysis.</p><p>Results</p><p>The Cox multivariate regression analysis revealed that the effect value of the D_Dimer-CA724 Middle group on the overall survival rate post-surgery for gastric cancer was found to be 1.42 (1.13–1.78), p = 0.003 (<0.05), in comparison with the D_Dimer-CA724 Low group. …”

Multivariate, stepwise Cox-regression analysis. by Hannah Billig (19226323)

“…Correlation analysis showed a significant non-linear association of both values. In a multivariable stepwise Cox regression analysis, lactate remained an independent predictor for in-hospital mortality, whilst glucose, despite being implicated in energy metabolism, was not independently predictive for mortality. …”

The univariate cox regression analysis. by Yue-ling Peng (14636780)

Subjects:

Factors of prognosis by using Cox regression. by Yi-Chen Liu (3928766)

“…</p><p>Results</p><p>A total of 1055/1469/715 subjects (16.85%/23.46%/11.42%) had fracture surgery/inpatient/all-cause mortality of which 433/624/318 (13.83%/19.93%/10.16%) were in the TCM group) and 622/845/397 (19.87%/26.99%/12.68%) in the control group. Cox proportional hazards regression analysis showed that subjects in the TCM group had lower rates of fracture surgery, inpatient and all-cause mortality (adjusted HR = 0.467; 95% CI = 0.225–0.680, P<0.001; adjusted HR = 0.556; 95% CI = 0.330–0.751, P<0.001; adjusted HR = 0.704; 95% CI = 0.476–0.923, P = 0.012). …”

Results of the Cox proportional hazards regression. by Tomonori Takeda (14053671)

Multivariable Cox regression model for mortality. by Ioana Margineanu (22772552)

Cox regression for the survival of patients with sepsis. by Jorge Luis Vélez-Páez (11914388)

Cox regression univariate survival analysis. by Yumna Adnan (12276639)

Probability of survival of the elderly according to statistically significant variables in the Cox proportional multiple regression analysis. by Natacha Christina de Araújo (9574887)

“…<p>Probability of survival of the elderly according to statistically significant variables in the Cox proportional multiple regression analysis.…”

The selected significant results of the multivariate Cox and logistic regression analyses obtained for the experimental cohort of HGSOCs. by Agnieszka Dansonka-Mieszkowska (740186)

Results for the Cox proportional hazards regression model. by Susana Mondschein (9417260)

Univariate cox proportional hazard regression. by Rajat Bajaj (9629068)

Cox regression analysis. by Fernanda Ortiz (2993010)

Univariable Cox regression models of cardiovascular mortality. by Jun Ma (9393)

Subjects:

Cox proportional hazards regression results. by Edgar Muchinta (22057250)

“…Findings showed that removing outliers made the model more representative, with a significant decline in kidney function over time. The Cox regression model identified male sex and baseline creatinine as substantial risk factors for CKD, with good model fit and discriminatory power. …”