Gallbladder opacification 12–24 h after angiography by CT examination: a multivariate analysis

1996 ◽  
Vol 21 (6) ◽  
pp. 507-511 ◽  
Author(s):  
H. Yamazaki ◽  
H. Oi ◽  
M. Matsushita *, † , T. Teshima ◽  
S. Murayama ◽  
T. Nose ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Ct Examination ◽  
Gallbladder Opacification

Gallbladder Visualization on CT Shortly after Angiography with Ioxaglate

1994 ◽  
Vol 35 (6) ◽  
pp. 634-635
Author(s):  
H. Tajima ◽  
T. Kaizu ◽  
T. Ichikawa ◽  
T. Kumazaki
Keyword(s):  
Renal Impairment ◽  
Clinical Evidence ◽  
Ct Examination ◽  
Abdominal Angiography ◽  
Gallbladder Opacification ◽  
Hepatobiliary Tract

Thirty-five patients underwent CT examination 15 to 30 min after abdominal angiography with ioxaglate. The gallbladder was visualized in 12 patients in the absence of clinical evidence of renal impairment. Gallbladder opacification on CT examinations shortly after angiography shows that the hepatobiliary tract is important in the excretion of ioxaglate.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

1118: The Incidence and Duration of Postoperative Ileus in Patients Undergoing Radical Cystectomy. A Multivariate Analysis of Contributing Factors

2005 ◽  
Vol 173 (4S) ◽  
pp. 303-303
Author(s):  
Diana Wiessner ◽  
Rainer J. Litz ◽  
Axel R. Heller ◽  
Mitko Georgiev ◽  
Oliver W. Hakenberg ◽  
...  
Keyword(s):  
Multivariate Analysis ◽  
Radical Cystectomy ◽  
Postoperative Ileus ◽  
Contributing Factors
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