Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
unit increased » units increased (Expand Search), unit increase (Expand Search), under increased (Expand Search)
main decrease » gain decreased (Expand Search), mean decrease (Expand Search), point decrease (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
unit increased » units increased (Expand Search), unit increase (Expand Search), under increased (Expand Search)
main decrease » gain decreased (Expand Search), mean decrease (Expand Search), point decrease (Expand Search)
-
421
-
422
-
423
-
424
Study sites and number of participants enrolled in the KAP and OOP surveys.
Published 2024Subjects: -
425
Average cost per visit for HIV and HTN care (absolute vs. relative contributions).
Published 2024Subjects: -
426
-
427
-
428
Mechlorethamine gel causes epithelium thinning, epithelium-stroma separation, and decreased total stroma cell count.
Published 2025“…<p>A) Epithelium thickness decreased, and B) the percentage of epithelium-stroma separation increased after NM exposure. …”
-
429
-
430
-
431
-
432
RipU<sup>K60</sup> decreases microtubule abundance at 48 hours post infiltration.
Published 2024“…(B) Heterologous expression of RipU<sup>K60</sup> significantly decreased microtubule number compared to controls at 48 hpi in <i>N</i>. …”
-
433
-
434
-
435
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)....
Published 2025“…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). …”
-
436
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)....
Published 2025“…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). …”
-
437
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)....
Published 2025“…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). …”
-
438
-
439
-
440