|
Activity Number:
|
192
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, August 4, 2008 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Government Statistics
|
| Abstract - #301238 |
|
Title:
|
Multivariate Analysis of Waiting and Treatment Time in Emergency Departments
|
|
Author(s):
|
Abera Wouhib*+ and Myron Katzoff and Meena Khare
|
|
Companies:
|
National Center for Health Statistics and Centers for Disease Control and Prevention and National Center for Health Statistics
|
|
Address:
|
3311 Toledo Road, Hyattsville, MD, 20782,
|
|
Keywords:
|
Multivariate Analysis ; Waiting Time ; Treatment Time
|
|
Abstract:
|
Checking on normality is desirable in multivariate data analyses, if statistical inferences are made under the assumption of normal distribution. Normal probability plots or Q-Q plots provide a good visual check and are considered to be adequate for the purpose of assessing normality by many researchers. Transforming the data to make it 'normal' is an appropriate procedure if departure from normality is suspected in the plots. Once the problem of normality is resolved by means of transformation, the desired statistical inference can proceed in a fairly standard fashion. To illustrate data transformations and to apply multivariate statistical inferences, waiting and treatment times for emergency department visits along with some socio-demographical characteristics were used from the National Hospital Ambulatory Medical Care Survey (NHAMC).
|
