F. The petitioner is required to submit either a claim for categorical exclusion under §25.30 or §25.32 of this chapter or an environmental assessment under §25.40 of this chapter. Yours very truly, Petitioner ___ By ___ (Indicate authority) (g) The data specified under the several lette...
Regression models for categorical and limited dependent variables Sage Publications (1997) Google Scholar Loughran et al., 2009 T. Loughran, B. McDonald, H. Yun A wolf in sheep's clothing: The use of ethics-related terms in 10-K reports Journal of Business Ethics, 89 (1) (2009), pp....
Categorical variables were presented as number of patients and percentage. Within the national and within the university dataset, data on individual patients’ intubation status were aggregated into monthly periods and the proportions of intubations recorded as difficult standardized by age group [18–30...
1. Figure 1 (top) shows the traditional pipeline of building deep learning models on a predictive task in the medical domain. As one can see, numerous claims records are removed during the cohort selection process following the inclusion and exclusion criteria. After the cohort selection process,...
Falls impact over 25% of older adults annually, making fall prevention a critical public health focus. We aimed to develop and validate a machine learning-based prediction model for serious fall-related injuries (FRIs) among community-dwelling older adults, incorporating various medication factors. Me...
Note: P values were estimated by the chi-square test for categorical variables and the Kruskal–Wallis test for continuous variables. ARB users: patients consuming at least one ARB; Non-ARB AHM users: patients consuming at least one antihypertensive medication other than ARBs; AHM non-users: pa...
as deemed appropriate. Categorical variables were presented as numbers and percentages and were examined using Pearson’s chi-square test. The Kaplan–Meier method was used to analyze survival differences between the two groups. We used the Cox regression analysis to estimate the effect of the varia...
We evaluated baseline characteristics with previous cardiovascular disease, medications and other systemic medical histories between each group of evidence based treatment and non use group using Student’s t test for continuous variable and chi-square test for categorical variables, Multivariable logistica...
The unadjusted categorical outcome variables were assessed using chi-square or Fisher's exact tests and summarized using odds ratios (ORs) and 95% confidence intervals (CIs). Independent-sample t tests were used to analyze unadjusted cohort differences in LOS and costs. Adjusted outcomes were ...
Categorical variables were reported using frequencies and percentages, and continuous variables were described by medians and interquartile ranges (first quartile (Q1), third quartile (Q3)). Missing values were not imputed. Each variable was analyzed with either the Chi-square test or the Kruskal-...