The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Study-related adverse events. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study flow chart. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Recruitment flow diagram of the current study. by Somayeh Momenyan (10111603)

“…Predictors of HRQoL included sociodemographic, psychological, medical, and trauma-related factors collected at baseline. We applied generalized additive mixed models to flexibly capture nonlinear changes in HRQoL over time, and piecewise latent growth curve model to analyze distinct linear phases of recovery across defined time intervals.…”

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Classification of hand grip strength. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Rating scale for functional severity [28]. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Regression model coefficients. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

ICOPE screening positive participant’s responses. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

WHO BMI classification for adults. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.…”

Improving genomic prediction for plant disease using environmental covariates by Charlotte Brault (22078544)

“…</p> <p>Traditionally, GxE has been analyzed as a reaction norm over an environmental index. Here, we computed the environment index as a linear combination of environmental covariates specific to each environment, and we derived an environment relationship matrix. …”

Table_1_Oxidative stress and inflammation mediate the association between elevated oxidative balance scores and improved sleep quality: evidence from NHANES.docx by Qu Zhang (486455)

“…</p>Conclusion<p>This study revealed a positive correlation between an elevated OBS and improved sleep quality, manifested by decreased sleep disorders, mitigated sleep trouble, and prolonged sleep duration. …”

Table 1_Disparities in the burden of tuberculosis associated with urbanization across 178 countries and territories: an observational study.docx by Yaping Wang (289641)

“…</p>Methods<p>Using multi-source data, we developed a composite index of urbanization across 178 countries and territories from 2012 to 2019, incorporating the proportion of urban population, the proportion of population using improved sanitation, nighttime light intensity, normalized difference vegetation index, and per capita gross domestic product. …”

Supplementary Material for: Global, regional, and national burden of brain and central nervous system cancers for males from 1990 to 2021 and its predicted level in the next 25 yea... by Maimaiti A. (19938294)

“…Prevalence was assessed with DisMod-MR, trends via cluster analysis, and Estimated Annual Percentage Change (EAPC) calculated via linear regression. Forecasts for 2022-2044 used APC and BAPC models, with a P-value < 0.05 considered significant. …”

The Enzyme Effect: Broadening the Horizon of MS Optimization to Nontryptic Digestion in Proteomics by Kinga Nagy (603019)

“…Our results showed a linear <i>m</i>/<i>z</i> dependence for all enzymes, with Glu-C, Asp-N, and chymotrypsin requiring significantly lower energies than trypsin and Arg-C. …”

Table 1_Affective bias predicts changes in depression during deep brain stimulation therapy.docx by Brian Cui (20932658)

“…</p>Results<p>We observed significant improvements in total affective bias scores over the course of DBS treatment in both cohorts. …”

Table 2_Global burden and trends of norovirus-associated diseases from 1990 to 2021 an observational trend study.xlsx by MengLan Zhu (20517257)

“…For trend analysis, we employed annual percentage change (EAPC) through linear regression and applied Joinpoint analysis to identify significant changes over time. …”

Table 5_Global burden and trends of norovirus-associated diseases from 1990 to 2021 an observational trend study.xlsx by MengLan Zhu (20517257)

“…For trend analysis, we employed annual percentage change (EAPC) through linear regression and applied Joinpoint analysis to identify significant changes over time. …”

Table 3_Global burden and trends of norovirus-associated diseases from 1990 to 2021 an observational trend study.xlsx by MengLan Zhu (20517257)

“…For trend analysis, we employed annual percentage change (EAPC) through linear regression and applied Joinpoint analysis to identify significant changes over time. …”