The magnitude of the difference of crude and adjusted log odds ratios

1987 ◽  
Vol 16 (11) ◽  
pp. 3403-3415 ◽  
Author(s):  
Ruth M. Mickey
Keyword(s):  
Log Odds ◽  
2008 ◽  
Vol 20 (2) ◽  
pp. 159-169 ◽  
Author(s):  
Xiaohui Hou

The objective of this study was to examine the urban—rural variations in the prevalence of overweight, hypertension, undiagnosed hypertension, and untreated hypertension among adults. The China Health and Nutrition Survey was used to study adults 25 to 65 years old. Logistic regression was used to obtain the odds ratios (ORs) after adjusting for demographic, socioeconomic, and lifestyle variables. Urban adults have a higher probability of being overweight (OR = 1.18, P < .01) and having hypertension (OR = 1.19, P < .1). After further controlling for lifestyle variables, the difference is not significant. Urban hypertensive adults are less likely to be undiagnosed (OR = 0.54, P < .001) and untreated (OR = 0.53, P < .001), even after controlling for socioeconomic and lifestyle variables, suggesting that there are other reasons for the urban—rural disparity of undiagnosed and untreated hypertension. This finding suggests that modifying lifestyles is critical in preventing urban adults from being overweight. Interventions targeting rural adults should promote the awareness and treatment of hypertension.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
John Ferguson ◽  
Neil O’Leary ◽  
Fabrizio Maturo ◽  
Salim Yusuf ◽  
Martin O’Donnell

Abstract Background Population attributable fractions (PAF) measure the proportion of disease prevalence that would be avoided in a hypothetical population, similar to the population of interest, but where a particular risk factor is eliminated. They are extensively used in epidemiology to quantify and compare disease burden due to various risk factors, and directly influence public policy regarding possible health interventions. In contrast to individual specific metrics such as relative risks and odds ratios, attributable fractions depend jointly on both risk factor prevalence and relative risk. The relative contributions of these two components is important, and usually needs to be presented in summary tables that are presented together with the attributable fraction calculation. However, representing PAF in an accessible graphical format, that captures both prevalence and relative risk, may assist interpretation. Methods Taylor-series approximations to PAF in terms of risk factor prevalence and log-odds ratio are derived that facilitate simultaneous representation of PAF, risk factor prevalence and risk-factor/disease log-odds ratios on a single co-ordinate axis. Methods are developed for binary, multi-category and continuous exposure variables. Results The methods are demonstrated using INTERSTROKE, a large international case control dataset focused on risk factors for stroke. Conclusions The described methods could be used as a complement to tables summarizing prevalence, odds ratios and PAF, and may convey the same information in a more intuitive and visually appealing manner. The suggested nomogram can also be used to visually estimate the effects of health interventions which only partially reduce risk factor prevalence. Finally, in the binary risk factor case, the approximations can also be used to quickly convert logistic regression coefficients for a risk factor into approximate PAFs.


2020 ◽  
Vol 6 ◽  
pp. 237802311989921
Author(s):  
Mauricio Bucca

Log-linear models offer a detailed characterization of the association between categorical variables, but the breadth of their outputs is difficult to grasp because of the large number of parameters these models entail. Revisiting seminal findings and data from sociological work on social mobility, the author illustrates the use of heatmaps as a visualization technique to convey the complex patterns of association captured by log-linear models. In particular, turning log odds ratios derived from a model’s predicted counts into heatmaps makes it possible to summarize large amounts of information and facilitates comparison across models’ outcomes.


1995 ◽  
Vol 24 (3) ◽  
pp. 103-113
Author(s):  
Masami MIYAKAWA ◽  
Hiromichi ASAKURA
Keyword(s):  

2006 ◽  
Vol 40 (11-12) ◽  
pp. 981-986 ◽  
Author(s):  
Jean Hollis ◽  
Stephen Touyz ◽  
David Grayson ◽  
Loelle Forrester

Objectives: To explore the odds ratios (ORs) of death associated with antipsychotic (AP) medications dispensed to elderly subjects. Method: Subjects were veterans and war widows 65 years and older dispensed an AP drug in 2001 in NSW or ACT. For all subjects, dispensing records for AP medication, benzodiazepines, lithium, carbamazepine, sodium valproate and antidepressant medication were extracted and combined with age, gender and date of death. A study date was allocated, either the date of death or a random date from 1.5.01 to 31.12.01. Subjects dispensed an AP in 2001, but not dispensed an AP or other psychotropic medication in the 120 days prior to their study date, formed a reference group. Psychotropic dispensing in the 120 days prior to the study date was analysed using nested logistic regression models to produce ORs of death associated with various AP drugs. The ORs for risperidone, olanzapine and pericyazine were compared. Haloperidol ORs were established for those dispensed the drug 0–30 days prior to study date or 31–120 days prior to the study date. Results: The ORs associated with haloperidol, olanzapine, risperidone, pericyazine, thioridazine and chlorpromazine were significant when compared with the reference group. Odds ratios for all three haloperidol periods were significant when compared with olanzapine, risperidone and pericyazine 120 day ORs. Although there was a trend favouring olanzapine when compared with risperidone, the difference in the ORs failed to reach significance (p = 0.066). Conclusions: Haloperidol is associated with significantly higher mortality rates than other AP medication but it is not clear whether this represents drug toxicity or the medical conditions for which it was dispensed. There was no evidence that the conventional AP pericyazine was associated with a higher mortality rate than olanzapine or risperidone.


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