Summary statistics from T1D and LADA linear models. by Margaret Sunitha Selvaraj (13994016)

Generalised linear mixed-effects model results for social wellbeing variables. by Catherine Tulloch (14515521)

Generalised linear mixed-effects model results for overall wellbeing variables. by Catherine Tulloch (14515521)

Generalised linear mixed-effects model results for financial wellbeing variables. by Catherine Tulloch (14515521)

Multivariable linear regression analyses for predicting factors. by Maurice Pradella (11678817)

Correlations between perceptual bias scores, age, and autism-associated features: Simple linear regression showing a significant correlation between elevated proprioceptive bias an... by Daniel E. Lidstone (21567523)

Weighted Linear Regression Analysis of BRI and ASM/BMI. by Wei Huang (36889)

Example of predicted effects of choice bundling on preference for larger, later rewards (LLRs) over smaller, sooner rewards (SSRs). by Jeffrey S. Stein (11689918)

Rates of change in each retinal layer thickness, calculated using linear mixed models. by Jung-Tae Kim (8997767)

Multivariate Linear Regression Analysis of Factors Associated with Pain Scores (VAS) in Children Aged 7–12. by Myriam Aïche (22290591)

Summary of linear regression model of log-transformed tumor volumes. by Chi-Feng Chiang (16534951)

STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

Analysis of sleep duration and FT3 using segmented linear regression. by Mingzheng Wang (4918222)

The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

Subjects:

The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

Subjects:

The significance of the specific Nusselt number on a variety of factors. by Siva Sankari (2827295)

Subjects:

The significance of the specific Nusselt number on a variety of factor. by Siva Sankari (2827295)

Subjects:

Calibration curve showing the linearity of the method: Neu5Ac. by Hyo Jeong Kim (7490237)

Linear relationships (Spearman’s r (p-value)) the treatment-induced changes in clinical and neurophysiological data. by Soheila Qanbari (20455173)

Subjects:

Significant condition. by Junxia Zhou (14381598)

“…BET and SEM analyses demonstrated that the specific surface area and porosity (most probable pore size) gradually decreased over time. At various ages, mesopores (cumulative pore diameter, median pore diameter) initially increased and then decreased. …”