Using Binary Logistic Regression Models for Ordinal Data with Non-proportional Odds

Bender, Ralf; Grouven, Ulrich

doi:10.1016/s0895-4356(98)00066-3

Cited by 169 publications

(146 citation statements)

References 21 publications

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“…To assess the simultaneous influence of factors on adherence two logistic regression models were fitted as odds were not proportional between adherence groups and thus did not allow for ordinal logistic regression (Le 1998;Bender and Grouven 1998). Linearity was checked graphically.…”

Section: Discussionmentioning

confidence: 99%

Factors influencing adherence in CML and ways to improvement: Results of a patient-driven survey of 2546 patients in 63 countries

Geißler

Sharf

Bombaci³

et al. 2017

J Cancer Res Clin Oncol

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CML Advocates Network and were filled in by patients online and offline. Patient characteristics, treatment and motivations were collected. Adherence was assessed by the 8-item Morisky Medication Adherence scale. Logistic regression models were fitted to investigate the influence of different factors on adherence. Overall, 2 546 questionnaires from 63 countries and 79 CML patient organisations were evaluable. 32.7% of participants were highly adherent, 46.5% were in the medium and 20.7% in the low adherence group. Factors increasing the probability of being in the high adherence group are older age, male sex, management of side effects, only one tablet per day and feeling well informed about CML by the doctor. More than 2 years since diagnosis were significantly lowering the chance as was the use of reminding tools. Living arrangements, multiple medication and personal payment obligations increased the probability to be at least in the medium adherent group. This is the most comprehensive study conducted to date to gain knowledge about factors causing non-adherence in CML. Better information on the disease, medication and management of side effects, supported by haematologists, is key to improve adherence.

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Section: Discussionmentioning

confidence: 99%

Factors influencing adherence in CML and ways to improvement: Results of a patient-driven survey of 2546 patients in 63 countries

Geißler

Sharf

Bombaci³

et al. 2017

J Cancer Res Clin Oncol

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“…Two separate binary logistic regression models were designed for representing factors related to (1) at least optimal maternal weight gain and (2) excessive weight gain Maternal diet in pregnancy and weight gain AS Olafsdottir et al during pregnancy. 39 The odds of gaining at least optimal or excessive weight during pregnancy was calculated with 95% confidence intervals (95% CI), adjusting for gestational length, maternal age and smoking. Stepwise backward elimination was used for selecting dietary factors and other possible sources of confounding, after comparing the differences between the three weight gain groups (i.e., suboptimal, optimal or excessive weight gain) with ANOVA.…”

Section: Discussionmentioning

confidence: 99%

Maternal diet in early and late pregnancy in relation to weight gain

et al. 2005

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Objective: To identify dietary factors related to the risk of gaining weight outside recommendations for pregnancy weight gain and birth outcome. Design: An observational study with free-living conditions. Subjects: Four hundred and ninety five healthy pregnant Icelandic women. Methods: The dietary intake of the women was estimated with a semiquantitative food frequency questionnaire covering food intake together with lifestyle factors for the previous 3 months. Questionnaires were filled out at between 11 and 15 weeks and between 34 and 37 weeks gestation. Comparison of birth outcome between the three weight gain groups was made with ANOVA and Bonferroni post hoc tests. Dietary factors related to at least optimal and excessive weight gain during pregnancy were represented with logistic regression controlling for potential confounding. Results: Of the women, 26% gained suboptimal and 34% excessive weight during pregnancy. Women in late pregnancy with at least optimal, compared with women with suboptimal, weight gain were eating more (OR ¼ 3.32, confidence interval (CI) ¼ 1.81-6.09, Po0.001) and drinking more milk (OR ¼ 3.10, CI ¼ 1.57-6.13, P ¼ 0.001). The same dietary factors were related to excessive, compared with optimal, weight gain. Furthermore, eating more sweets early in pregnancy increased the risk of gaining excessive weight (OR ¼ 2.52, CI ¼ 1.10-5.77, P ¼ 0.029). Women with a body mass index of 25.0-29.9 kg/m 2 before pregnancy were most likely to gain excessive weight (OR ¼ 7.37, CI 4.13-13.14, Po0.001). Women gaining suboptimal weight gave birth to lighter children (Po0.001) and had shorter gestation (P ¼ 0.008) than women gaining optimal or excessive weight. Conclusion: Women who are overweight before pregnancy should get special attention regarding lifestyle modifications affecting consequent weight gain during pregnancy. They are most likely to gain excessive weight and therefore most likely to suffer pregnancy and delivery complications and struggle with increasing overweight and obesity after giving birth.

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“…However, the ordinal regression did not meet the assumption even after the complementary log-log function was used. A simple approach to analyse ordinal data with non-proportional odds is to dichotomize the ordinal response variable by means of several cut-off points and use separate binary logistic regression models for each dichotomized response (Bender and Grouven 1998). For subsequent analysis, therefore, the life satisfaction dependent variable was dichotomised into two cut-off points: level 7 and level 6 or above.…”

Section: Methodsmentioning

confidence: 99%

Are People Who Participate in Cultural Activities More Satisfied with Life?

2014

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Abstract:The influence of various aspects of life on wellbeing has been extensively researched. However, despite little empirical evidence, participation in leisure activities has been assumed to increase subjective wellbeing. Leisure is important because it is more under personal control than other sources of life satisfaction. This study asked whether people who participate in cultural leisure activities have higher life satisfaction than people who do not, if different types of leisure have the same influence on life satisfaction and if satisfaction is dependent on the frequency of participation or the number of activities undertaken. It used data from UKHLS Survey to establish associations between type, number and frequency of participation in leisure activities and life satisfaction. Results showed an independent and positive association of participation in sport, heritage and active-creative leisure activities and life satisfaction but not for participation in popular entertainment, theatre hobbies and museum/galleries. The association of reading hobbies and sedentary-creative activities and life satisfaction was negative. High life satisfaction was associated with engaging in a number of different activities rather than the frequency of participation in each of them. The results have implications for policy makers and leisure services providers, in particular those associated with heritage recreation. Subjective wellbeing measures, such as life satisfaction, and not economic measures alone should be considered in the evaluation of services. The promotion of leisure activities which are active and promote social interaction should be considered in programmes aimed at improving the quality of life.

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Using Binary Logistic Regression Models for Ordinal Data with Non-proportional Odds

Cited by 169 publications

References 21 publications

Factors influencing adherence in CML and ways to improvement: Results of a patient-driven survey of 2546 patients in 63 countries

Factors influencing adherence in CML and ways to improvement: Results of a patient-driven survey of 2546 patients in 63 countries

Maternal diet in early and late pregnancy in relation to weight gain

Are People Who Participate in Cultural Activities More Satisfied with Life?

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