scholarly journals OP03.02: Role of logistic regression model 2 and risk of malignancy index RMI-IV in the preoperative assessment of adnexal masses

2015 ◽  
Vol 46 ◽  
pp. 59-59
Author(s):  
N. Abdalla ◽  
M. Bachanek ◽  
R. Piorkowski ◽  
W. Sawicki ◽  
K. Cendrowski
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Preoperative Assessment ◽  
Adnexal Masses ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index

scholarly journals Gender and Age Differences in the Study Plan of University Students

2020 ◽  
Vol 14 (01) ◽  
pp. 62 ◽  
Author(s):  
Hilary I Okagbue ◽  
Sheila A Bishop ◽  
Anjoreoluwa E Boluwajoko ◽  
Adaeze M Ezenkwe ◽  
Glory N Anene ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Undergraduate Students ◽  
Logistic Regression Model ◽  
Simple Random Sampling ◽  
Chi Square ◽  
Ogun State ◽  
Gender And Age ◽  
Study Plan

<p class="0abstract">Effective study plan is a predictor of good academic performance. However, there are few evidences available on the role of gender and age in the study plan for students. This paper investigated the role of gender and age in the adoption of study plan that can guarantee success. A questionnaire was designed and administered to undergraduate students of a world class privately funded university located in Ogun State, Nigeria. Simple random sampling was used and 294 students responded. Chi-square test of independence revealed that gender and age are not associated with frequency of study, study environment, study content preferences and study motivation. There is no Gender difference in the preference of study type, factors that drive, motivation for study and satisfaction with the study plan whereas, age is significantly associated. The logistic regression model was significant and correctly classified 66.3% of satisfaction with the study plan. Gender was not significant and age of students can predict their satisfaction with their study plan. Older students have more odds to be satisfied with their study plan. As students progressed from year one to the final year, they tend to adopt a study plan that can help them obtain high grades and graduate with good result. Artificial Neural Network correctly classified 71.4% of satisfaction using only age as the only factor because, only age contributed significantly to the logistic regression model. Timely academic advising or mentorship is advocated especially for freshers.</p>

scholarly journals Role of a Risk of Malignancy Index in Clinical Approaches to Adnexal Masses

2014 ◽  
Vol 15 (18) ◽  
pp. 7793-7797 ◽  
Author(s):  
Hakki Sencer Simsek ◽  
Aytekin Tokmak ◽  
Emre Ozgu ◽  
Melike Doganay ◽  
Nuri Danisman ◽  
...  
Keyword(s):  
Adnexal Masses ◽  
Risk Of Malignancy ◽  
Risk Of Malignancy Index
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