Estimators of the Variance of the Mantel-Haenszel Log-Odds-Ratio Estimate

Biometrics ◽  
1987 ◽  
Vol 43 (2) ◽  
pp. 425 ◽  
Author(s):  
Abraham Phillips ◽  
Paul W. Holland
Keyword(s):  
Odds Ratio ◽  
Ratio Estimate ◽  
Odds Ratio Estimate ◽  
Log Odds

scholarly journals Hepatitis B Vaccine Acceptability among Nurses: A Theory Based Conceptualization

2018 ◽  
Vol 11 (1) ◽  
pp. 45-51
Author(s):  
Mehdi Mirzaei Alavijeh ◽  
Masoumeh Vaezi ◽  
Farzad Jalilian
Keyword(s):  
Hepatitis B ◽  
Health Care Providers ◽  
Self Efficacy ◽  
Odds Ratio ◽  
Statistical Tests ◽  
Male Nurses ◽  
Perceived Threat ◽  
Care Providers ◽  
Ratio Estimate ◽  
Odds Ratio Estimate

BACKGROUND Hepatitis B is the most common occupational disease in health care providers. It can be followed by several complications. The aim of this study was to determine the cognitive determinants of hepatitis B (HB) vaccination Acceptability among nurses based on the Health Belief Model (HBM). METHODS This cross-sectional study was conducted among 330 nurses in educational hospitals of Kermanshah city, during 2016. Samples were randomly selected with the proportional to size among different educational hospitals in Kermanshah. A structured questionnaire was applied for collecting data and data were analyzed using SPSS software version 16 by using bivariate correlations and logistic regression statistical tests. RESULTS The mean age of the respondents was 30.5 years [SD: 6.62]. About, 58.5% of the participants reported to have completed (three times) vaccination of HB. Female nurses were more likely to be fully vaccinated against HB than male nurses, with adjusted odds ratio estimate of 2.507 [95% CI: 1.523-4.125] and those who had family or friends with a history of HB with odds ratio estimate of 3.706 [95% CI: 1.317-10.425], making these the most influential predictive determinants for full uptake (three time) of HB vaccination. Among the HBM variables: perceived threat with odds ratio estimate of 1.264 [95% CI: 1.160-1.376], perceived self-efficacy with odds ratio estimate of 1.179 [95% CI: 1.020-1.363], and cues to action with odds ratio estimate of 1.335 [95% CI: 1.015-1.756], were the more influential predictors of full uptake (three time) of HB vaccination. CONCLUSION To development uptake vaccination programs promotion in addition to focusing on male nurses, using the results of the predictive constructs include; perceived threat perceived self-efficacy suggested. Based on our result, it seems that development and implementation of health promotion programs to increase threat about side effect of HB and self-efficacy regarding HB vaccination uptake may be usefulness of the findings to promotion of vaccination of HB.

scholarly journals On sufficient variable screening using log odds ratio filter

2022 ◽  
Vol 16 (1) ◽  
Author(s):  
Baoying Yang ◽  
Wenbo Wu ◽  
Xiangrong Yin
Keyword(s):  
Odds Ratio ◽  
Variable Screening ◽  
Log Odds

What do (some of) our association measures measure (most)? Association?

2021 ◽  
Author(s):  
Stefan Th. Gries
Keyword(s):  
Corpus Linguistics ◽  
Odds Ratio ◽  
Association Measure ◽  
Measures Of Association ◽  
Association Measures ◽  
Log Odds ◽  
Dispersion Measures ◽  
Corpus Data ◽  
Behavior Supports ◽  
True Association

Abstract This paper discusses the degree to which some of the most widely-used measures of association in corpus linguistics are not particularly valid in the sense of actually measuring association rather than some amalgam of a lot of frequency and a little association. The paper demonstrates these issues on the basis of hypothetical and actual corpus data and outlines implications of the findings. I then outline how to design an association measure that only measures association and show that its behavior supports the use of the log odds ratio as a true association-only measure but separately from frequency; in addition, this paper sets the stage for an analogous review of dispersion measures in corpus linguistics.

Methods of Estimation in Log Odds Ratio Regression Models

Biometrics ◽  
1986 ◽  
Vol 42 (4) ◽  
pp. 949 ◽  
Author(s):  
N. E. Breslow ◽  
J. Cologne
Keyword(s):  
Odds Ratio ◽  
Regression Models ◽  
Log Odds

Residual Plots for Log Odds Ratio Regression Models

Biometrics ◽  
1991 ◽  
Vol 47 (3) ◽  
pp. 1135 ◽  
Author(s):  
Masaaki Tsujitani ◽  
Gary G. Koch
Keyword(s):  
Odds Ratio ◽  
Regression Models ◽  
Log Odds ◽  
Residual Plots
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