Search results for "General linear model"
showing 9 items of 19 documents
Perceived Burden among Spouse, Adult Child and Parent Caregivers
2018
Aims To identify what factors are associated with the caregiver burden of spouse caregivers, adult child caregivers, and parent caregivers. Background Caregivers often feel stressed and perceive caregiving as a burden. The caregiver burden has been little studied from the perspective of the personal relationship between caregiver and care recipient. Design Cross-sectional study. Methods A random sample of 4,000 caregivers in Finland was drawn in 2014 and those who remained either spouse, adult child, or parent caregivers at data collection were included in the analysis (N = 1,062). Data collection included recipients' characteristics. Caregivers' perceived burden was measured using the Care…
Dietary Quality Changes According to the Preceding Maximum Weight: A Longitudinal Analysis in the PREDIMED-Plus Randomized Trial
2020
One-year dietary quality change according to the preceding maximum weight in a lifestyle intervention program (PREDIMED-Plus trial, 55–75-year-old overweight or obese adults; n = 5695) was assessed. A validated food frequency questionnaire was used to assess dietary intake. A total of 3 groups were made according to the difference between baseline measured weight and lifetime maximum reported weight: (a) participants entering the study at their maximum weight, (b) moderate weight loss maintainers (WLM), and (c) large WLM. Data were analyzed by General Linear Model. All participants improved average lifestyle. Participants entering the study at their maximum weight were the most susceptible …
Permutation Tests in Linear Regression
2015
Exact permutation tests are available only in rather simple linear models. The problem is that, although standard assumptions allow permuting the errors of the model, we cannot permute them in practice, because they are unobservable. Nevertheless, the residuals of the model can be permuted. A proof is given here which shows that it is possible to approximate the unobservable permutation distribution where the true errors are permuted by permuting the residuals. It is shown that approximation holds asymptotically and almost surely for certain quadratic statistics as well as for statistics which are expressible as the maximum of appropriate linear functions. The result is applied to testing t…
The effects of using participatory working time scheduling software on working hour characteristics and wellbeing : a quasi-experimental study of irr…
2020
Background: Studies in the health care sector indicate that good work time control is associated with better perceived wellbeing but also with non-ergonomic work schedules, such as compressed work schedules. Participatory working time scheduling is a collaborative approach to scheduling shift work. Currently, there is a lack of information on whether working hour characteristics and employees' wellbeing in irregular shift work change after implementing participatory working time scheduling. Objective: To investigate the effects of using digital participatory working time scheduling software on working hour characteristics and well-being among Finnish hospital employees. Participants and met…
Subject-specific odds ratios in binomial GLMMs with continuous response
2007
In a regression context, the dichotomization of a continuous outcome variable is often motivated by the need to express results in terms of the odds ratio, as a measure of association between the response and one or more risk factors. Starting from the recent work of Moser and Coombs (Odds ratios for a continuous outcome variable without dichotomizing, Statistics in Medicine, 2004, 23, 1843-1860), in this article we explore in a mixed model framework the possibility of obtaining odds ratio estimates from a regression linear model without the need of dichotomizing the response variable. It is shown that the odds ratio estimators derived from a linear mixed model outperform those from a binom…
Methods and Tools for Bayesian Variable Selection and Model Averaging in Normal Linear Regression
2018
In this paper, we briefly review the main methodological aspects concerned with the application of the Bayesian approach to model choice and model averaging in the context of variable selection in regression models. This includes prior elicitation, summaries of the posterior distribution and computational strategies. We then examine and compare various publicly available R-packages, summarizing and explaining the differences between packages and giving recommendations for applied users. We find that all packages reviewed (can) lead to very similar results, but there are potentially important differences in flexibility and efficiency of the packages.
Simulation in the Simple Linear Regression Model
2002
Summary This article presents an activity which simulates the linear regression model in order to verify the probabilistic behaviour of the resulting least-squares statistics in practice.
Perceived Burden among Spouse, Adult Child and Parent Caregivers
2018
Brief interventions in counselling for nutrition and the prevalence of metabolic syndrome in primary care adult patients
2018
This research i) examined the influence of a brief nutrition-based intervention among primary care patients in changing nutrition and clinical values related to metabolic syndrome (study 1), and ii) assessed nutrition and the prevalence of metabolic syndrome and its clinical determinants among primary care patients in different sociodemographic groups (study 2). In study 1, a systematic literature review was conducted on eight databases during Sept.-Oct. 2016 with a final update in Nov. 2017. In study 2, data (n=557 for RO II-III, n=251 for RO IV-V) collected in primary care practices in Central Finland in 2006-2008 for the EVI study were analysed using Chi-Square test, GLM and Logistic Reg…