Number and percentage of AE patients with detectable Em2+ antibodies at different visits and significance level in binominal test. by Beate Grüner (301524)

Geographic differences for how the per capita visits to liquor stores changed in response to COVID-19. by Yingjie Hu (1579000)

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General characteristics of self-harm patients who visited emergency departments in the early pandemic (2020). by Ye Ji Lee (11055903)

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Geographic differences for how the per capita sales of spirits changed during the pandemic. by Yingjie Hu (1579000)

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Geographic differences for how the per capita sales of beer changed during the pandemic. by Yingjie Hu (1579000)

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Geographic differences for how the per capita sales of wine changed during the pandemic. by Yingjie Hu (1579000)

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Time table of follow-up visits of AE patients. by Beate Grüner (301524)

Population standardized emergency department visit rate after self-harm (per 100,000 mid-year population) by age and sex. by Ye Ji Lee (11055903)

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Number of patients with a significant increase or significant decrease between the baseline measurement (SCr-BL) and the creatinine measurement at emergency department presentation... by M. S. A. Niemantsverdriet (11886431)

Marginal effects from model results show declining probability of (a) pump working with increased time between visits in Model 1; (b) pump fixed after maintenance service with incr... by Eliza Lynn Fink (12850295)

Initial post-switch visits and SABA prescriptions in each period. by Rieko Kondo (10010647)

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Difference in ED visits in all participating hospitals in 2020 compared to 2019 in percent per hospital per month. by F. Marlijn Booij-Tromp (18592092)

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In Jeonbuk and Gangwon (rural regions), the correlation coefficient between the mobile phone mobility index and the weekly emergency department visit rate after self-harm were 0.65... by Ye Ji Lee (11055903)

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In Seoul and Busan (urban regions), the correlation coefficients between the mobile phone mobility index and the weekly emergency department visit rate after self-harm were 0.659 a... by Ye Ji Lee (11055903)

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Difference in knowledge about all contraceptive methods (sum score) before and after Embiotishu. by Kennedy Ngowi (6950354)

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Compositional differences between groups and differences in the effects of characteristics between groups. by Yirgalem Shibiru Baruda (18176769)

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Changes of physical and biochemical indicators from baseline and difference between DKD and non-DKD patients. by Ningning Wang (560944)

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Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to federal parks and protected areas (PPA), including national parks, national monuments, and national forests included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables).... by Kira Minehart (21029571)

“…The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). …”

Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to local parks and protected areas (PPA), including city parks, county parks, and regional parks included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables).... by Kira Minehart (21029571)

“…The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). …”

Generalized estimating equation (GEE) model results on the influence of weekly weather conditions and air quality on weekly visitation to state parks and protected areas (PPA), including state parks and state recreation areas included in this study. The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables).... by Kira Minehart (21029571)

“…The odds ratio, calculated as exp(Standard Estimate), indicates the magnitude and direction of the predictors’ effect on the response variable (proportional weekly visitation). The visitation effect, calculated as -1*(1-Odds Ratio)*100 indicates the percent change in the response variable when the predictor increases by one unit (for continuous variables) or when the condition is true (for categorical variables). …”