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We used a natural logarithm transformation of the length of stay variable to adjust for the left skewed distribution of this variable.
For the duration of ICU stay variable, the same parameters were used to obtain statistical significance and a standard deviation of 8 days, giving an expected sample of 23 patients per group.
Despite the difficulty of interpreting the relationship between length of stay and death, case severity, and characteristics of the health service system [ 24], the length of stay variable, expressing severity and characteristics of the process of care, remained in the final model.
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We extended the age, APS, and prior length of stay variables by including restricted cubic spline terms.
Length of stay variables are described by medians and quartiles and compared by the log-rank test.
* Age and Apache II score were tested by the Wilcoxon-Mann-Whitney test, categorical variables were tested by Fisher's exact test, and length of stay variables were tested by the log-rank test.
Multivariable logistic regression modeling was performed to determine the association between new osteoporosis diagnosis/treatment and potential demographic/clinical predictor variables (i.e. demographics, medications, comorbidities, "radiographic evidence of bone loss", and hospital stay variables).
This suggests that the reported length of stay variables are not confounded by patients admitted on weekends waiting longer in the hospital for availability of relevant tests or their primary doctor.
Even mammalian cells stay entirely variable during early phases of embryonic development.
Nurses were asked to indicate their intent to stay (outcome variable) by specifying the likelihood of remaining in their current job for the foreseeable future.
Upon entry to the nursing home, all residents were designated as short-stay residents; if they have spent 100 days or more in the nursing home (accumulative over hospitalizations), then they were reclassified as long-stay residents (thus, the short-stay/long-stay variable is a time-varying predictor).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com