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

Distribution of Patient-centered care scores as a function of Time. by Thales Guardia de Barros (22216025)

Boxplot of Patient-centered care scores as a function of Time. by Thales Guardia de Barros (22216025)

Association of each health behavior and the reported decrease in psychological well-being during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors. Results are predicted means and 95% confidence intervals from linear model analysis adjusted for age, gender, worked in patient care, had school aged children, near high-risk relatives and in high-risk group.... by Elie Mulhem (22537863)

“…Results are predicted means and 95% confidence intervals from linear model analysis adjusted for age, gender, worked in patient care, had school aged children, near high-risk relatives and in high-risk group. …”

Effect of each health behavior on the reported decrease in physical health during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors. Results are predicted means and 95% confidence intervals from linear model analysis adjusted for age, gender, worked in patient care, had school aged children, near high-risk relatives and in high-risk group.... by Elie Mulhem (22537863)

“…Results are predicted means and 95% confidence intervals from linear model analysis adjusted for age, gender, worked in patient care, had school aged children, near high-risk relatives and in high-risk group. …”

Predicted distance (km) needed to achieve a correlation coefficient of at least r =  0.50 using the median-based linear regression models. by Claire Stevens (11127729)

Utilizing an Ishikawa diagram for comprehensive root cause analysis encourages a broader exploration of potential causes beyond linear thinking by visually organizing and categoriz... by Mohammad Bakhtiari (11838264)

Heteroscedastic linear mixed model main results, estimating the volume (ml) of beer sold per day on the transformed (cube root) scale, on the original scale and on the relative sca... by Eleni Mantzari (6991172)

Subjects:

Timeline of the respiratory panel showing wastewater influenza A and B virus, RSV A and B detections, alongside national surveillance weekly positivity rates, at (a-d) site 4 (univ... by Jay C. Bullen (10232606)

Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology. by Beatriz Arregui-Gallego (21553735)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

Table_1_FMT intervention decreases urine 5-HIAA levels: a randomized double-blind controlled study.DOCX by Lihong Wang (14991)

Why does task performance decrease with burst length? by Swathi Anil (17382903)

Linear contact model. by Qingwen Li (1510687)

The funnel plot based on COVID-19 infection in non-health care workers (A) and health care workers (B). by Zhuoyang Xia (21354186)

Linear regression analysis. by Young Kyu Lee (14076058)

Timeline of norovirus GI and GII wastewater detections, alongside the number of weekly national surveillance laboratory reports at (a-b) site 4 (university), and (c-d) site 5 (care... by Jay C. Bullen (10232606)

COVID19 effect on essential services. by Admas Abera (11821659)

“…The difference in the trends of services before and during COVID-19 was compared using linear-by-linear tests and the difference of magnitude across the indicators was compared using Autoregressive Integrated Moving Average (ARIMA) interrupted time series analysis at a 5% significance level.…”

Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. Metabolites marked with a single asterisk (*) were significant in both two-way ANOVA and ASCA, whereas those marked with double asterisks (**) were significant only in two-way ANOVA. Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease. by Emir Matpan (21655811)

“…Positive effect sizes indicate an increase in metabolite concentration between the compared groups, while negative values indicate a decrease.</p>…”

A flow diagram of the study entry. by Sakiko Fukui (387048)

“…Cluster analysis classified 4 clusters of decline in food intake changes during the last 6 months before death: immediate decrease (n = 14); decrease from 1 month before death (n = 24); decrease from 3 months before death (n = 7); and gradual decrease for 6 months before death (n = 24).…”