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.…”

Data file without outliers. by Helena Wallin (6103205)

“…At follow-up, the increase in KYN and KYN/TRP was related to a decrease in ExCap in CKD 2–3. After adjusting for GFR, increase in KYN/TRP remained an independent significant predictor of a decline in ExCap in CKD 2–3.…”

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

“…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.…”

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.…”

Clustering analysis of total and active RNAP II at genes during the transition from G1 to G2. by Douglas Maya-Miles (7024967)

Image 1_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.tif by Yan Zhou (6523)

Image 2_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.tif by Yan Zhou (6523)

Table 1_The advanced lung cancer inflammation index as a predictor of kidney stone risk in men: a cross-sectional analysis.docx by Yan Zhou (6523)

Data Sheet 1_Clinical predictors and concomitant antiseizure medications effects on seizure control in relation to plasma cenobamate concentration: a multicenter retrospective stud... by Francesca Felicia Operto (12509263)

“…Although its mechanism of action is not fully understood, CNB enhances inhibitory GABAergic transmission and blocks voltage-gated sodium channels. Its non-linear pharmacokinetics and strong modulation of cytochrome P450 enzymes may significantly affect the metabolism of co-administered ASMs, posing important challenges for polytherapy management. …”

Data Sheet 1_Perceived protective behavioral changes in Chinese residents post-dynamic zero-COVID policy lifting: a cross-sectional study.docx by Yuan-Yuan Song (6287387)

“…</p>Conclusion<p>This study suggested that Chinese residents perceived an increase in their protective behaviors in the early stage after the policy change, with varying magnitudes across behaviors. We identified some potentially modifiable factors associated with perceived protective behavioral change, with worry emerging as the strongest predictor, followed by positive coping, negative coping, and perceived severity. …”

Beta cell function derived from routine clinical measures reports and predicts treatment response to immunotherapy in recent-onset type 1 diabetes. by Michelle So (400874)

“…Beta2 score, derived from fasting glucose, C-peptide, HbA1c and insulin dose at 12 weeks, was optimal for predicting QRS>0 following one year of treatment with baricitinib and the other immunotherapies (areas under receiver-operator curve 0.864 and 0.765 respectively). A 6.2% decrease in Beta2 score at week 12 predicted significant improvement in HbA1c (-0.6% or -6 mmol/mol) and insulin use (-0.26 units/kg/day) in combined data from the rituximab, abatacept and anti-thymocyte globulin trials.…”

Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

“…Age and <i>F</i>0 are significant predictors of CPP; however, the observed increase in CPP with increasing age in males is primarily due to the substantial decrease in <i>F</i>0 postpuberty. …”

Strategy parameters across development for male mice in set size = 2 and set size = 4 from winning computational model. by Juliana Chase (20469427)

“…Parameter values are colored by individual with separate sessions connected by lines. For each parameter, we report the <i>R</i>² and <i>p</i>-value from a simple linear regression (best fit line) on the figure and the results of a mixed linear model with age as the predictor variable and the parameter as the dependent variable in order to better account for variability driven by repeat sessions by individual mice is reported in the main text (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012667#sec009" target="_blank">Materials & methods</a> for more information about the analyses). …”

<b>Mass, Residency Duration, and Previous Experience Shape Post-Escalation but Not Pre-Escalation Outcomes in Experimental Territorial Contests of Atlantic Mudskippers (</b><b><i>P... by Michael Smith (21714377)

“…A binomial generalized linear model with logit link estimated the probability of resident escalation as a time-dependent, predictor-driven decision process, while generalized linear models examined how predictors influenced the resident’s total assessment duration in escalated contests and the post-escalation contest duration. …”

Data Sheet 1_Age-related trajectories of quality of life in community dwelling older adults: findings from the Survey of Health, Aging and Retirement in Europe (SHARE).docx by Sarah Mendorf (11632098)

“…Clinically relevant changes were defined via the minimal clinically important difference (MCID). We applied linear regression and linear mixed models (LMM) to explore predictors of QoL trajectories.…”

Table 3_Age-related trajectories of quality of life in community dwelling older adults: findings from the Survey of Health, Aging and Retirement in Europe (SHARE).docx by Sarah Mendorf (11632098)

“…Clinically relevant changes were defined via the minimal clinically important difference (MCID). We applied linear regression and linear mixed models (LMM) to explore predictors of QoL trajectories.…”