47 resultados para logistic regression analysis


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A growing literature documents the existence of strategic political reactions to publicexpenditure between rival jurisdictions. These interactions can potentially createa downward expenditure spiral (“race to the bottom”) or a rising expenditure spiral(“race to the top”). However, in the course of identifying the existence of such interactions and ascertaining their underlying triggers, the empirical evidence has produced markedly heterogeneous findings. Most of this heterogeneity can be traced back to study design and institutional differences. This article contributes to the literature by applying meta-regression analysis to quantify the magnitude of strategic inter-jurisdictional expenditure interactions, controlling for study, and institutional characteristics. We find several robust results beyond confirming that jurisdictions do engage in strategic expenditure interactions, namely that strategic interactions: (i) are weakening over time, (ii) are stronger among municipalities than among higher levels of government, and (iii) appear to be more influenced from tax competition than yardstick competition, with capital controls and fiscal decentralization shaping the magnitude of fiscal interactions.

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This article examines the empirical support for the hypothesized hedonic theoretical relation between the price of wine and its quality. The examination considers over 180 hedonic wine price models developed over 20 years, covering many countries. The research identifies that the relation between the price of wine and its sensory quality rating is a moderate partial correlation of +0.30. This correlation exists despite the lack of information held by consumers about a wine’s quality and the inconsistency of expert tasters when evaluating wines. The results identify a moderate price-quality correlation, which suggests the existence of strategic buying opportunities for better informed consumers. Strategic price setting possibilities may also exist for wine producers given the incomplete quality information held by consumers. The results from the meta-regression analysis point to the absence of any publication bias, and attribute the observed asymmetry in estimates to study heterogeneity. The analysis suggests the observed heterogeneity is explained by the importance of a wine’s reputation, the use of the 100-point quality rating scale, the analysis of a single wine variety/style, and the employed functional form. The most important implication from the analysis is the relative importance of a wine’s reputation over its sensory quality, inferring that producers need to sustain the sensory quality of a wine over time to extract appropriate returns. The reputation of the wine producer is found not to influence the strength of the price quality relationship. This finding does not contradict the importance of wine producer reputation in directly influencing prices.

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Malware replicates itself and produces offspring with the same characteristics but different signatures by using code obfuscation techniques. Current generation anti-virus engines employ a signature-template type detection approach where malware can easily evade existing signatures in the database. This reduces the capability of current anti-virus engines in detecting malware. In this paper, we propose a stepwise binary logistic regression-based dimensionality reduction techniques for malware detection using application program interface (API) call statistics. Finding the most significant malware feature using traditional wrapper-based approaches takes an exponential complexity of the dimension (m) of the dataset with a brute-force search strategies and order of (m-1) complexity with a backward elimination filter heuristics. The novelty of the proposed approach is that it finds the worst case computational complexity which is less than order of (m-1). The proposed approach uses multi-linear regression and the p-value of each individual API feature for selection of the most uncorrelated and significant features in order to reduce the dimensionality of the large malware data and to ensure the absence of multi-collinearity. The stepwise logistic regression approach is then employed to test the significance of the individual malware feature based on their corresponding Wald statistic and to construct the binary decision the model. When the selected most significant APIs are used in a decision rule generation systems, this approach not only reduces the tree size but also improves classification performance. Exhaustive experiments on a large malware data set show that the proposed approach clearly exceeds the existing standard decision rule, support vector machine-based template approach with complete data and provides a better statistical fitness.

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The growth in the international education market within the next two decades will be dominated by Asia, accounting for almost 70% of the global demand for international higher education (Bohm et al., 2002). The market attractiveness with significant pecuniary and non-pecuniary gains from full-fee paying students will result in a more competitive environment for higher educational institutions around the world seeking to improve their market position. Student satisfaction is a key strategic variable in maintaining such a competitive position with long-term benefits arising from student loyalty, positive word of mouth (WOM) communication and image of the higher educational institutions to meet the challenges of increasing global competition, rising student expectations of quality, service, and value for money. This process requires educational institutions to carefully analyse these key factors contributing to student satisfaction and therefore develop strategies accordingly.

Using logistic regression analysis with factor scores and aggregated satisfaction scores, this study examines the relative importance of factors and their impact on the satisfaction levels of international postgraduate students from four Asian countries studying in Australian universities. The study concludes that the dominant factors that impact on student satisfaction are quality of education, student facilities, reputation of the institutions, the marketability of their degrees for better career prospects, and the overall customer value provided by the universities.

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Aim To estimate the prevalence of erectile dysfunction (ED) in Chinese diabetic men and to identify its risk factors, we carried out a cross-sectional survey of 500 Chinese diabetic men attending a community hospital diabetic clinic in Hong Kong.
Methods Patients were interviewed and asked to report on their experience of ED as defined in the National Institutes of Health Consensus Conference 1993. Diabetic complications and patient clinical data were obtained from patients' medical records.
Results Of the 486 patients studied, the prevalence of ED was 63.6% (95% confidence interval 59.3–67.9%). The prevalence of ED increased with age, from 33.3% to 73.8% for diabetic men aged between 21 and 80 years (P = 0.001). Severity of ED also increased with age. Among diabetic men with ED, there was no report of complete ED for diabetic men aged 40 years and below, whereas the proportion of patients with complete ED increased from 7.4% to 71.1% between the ages of 41 and 80 years. ED occurred early in the course of the disease, with a prevalence increasing from 56.0% in men with diabetes mellitus (DM) for < 5 years to 72.0% in those with DM for > 20 years (P = 0.038). Duration of DM was also associated with severity; the proportion of patients with complete ED increased from 30.8% for those with DM for < 5 years to 72.2% for those with DM for ≥ 20 years (P < 0.001). Using logistic regression analysis, DM duration, diabetic complications including retinopathy, abnormal albuminuria and sensory neuropathy, and higher level of education were associated with a higher risk of ED. By polychotomous logistic regression, age was the only factor found to be associated with the severity of ED, after adjusting for other variables.
Conclusions Chinese diabetic patients have a prevalence of self-reported ED that appears to be higher than that of Western populations. This may be due to cultural differences and the association of abnormal albuminuria and hypertension.

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Background
Television viewing and physical inactivity are independently associated with risk of obesity. However, how the combination of multiple leisure-time sedentary behaviours (LTSB) and physical activity (LTPA) may contribute to the risk of obesity is not well understood. We examined the joint associations of multiple sedentary behaviours and physical activity with the odds of being overweight or obese.

Methods
A mail survey collected the following data from adults living in Adelaide, Australia (n = 2210): self-reported height, weight, six LTSB, LTPA and sociodemographic variables. Participants were categorised into four groups according to their level of LTSB (dichotomised into low and high levels around the median) and LTPA (sufficient: ≥ 2.5 hr/wk; insufficient: < 2.5 hr/wk). Logistic regression analysis examined the odds of being overweight or obese (body mass index ≥ 25 kg/m2) by the combined categories.

Results
The odds of being overweight or obese relative to the reference category (low sedentary behaviour time and sufficient physical activity) were: 1.54 (95% confidence interval [CI]: 1.20–1.98) for the combination of low sedentary behaviour time and insufficient physical activity; 1.55 (95% CI: 1.20–2.02) for the combination of high sedentary behaviour time and sufficient physical activity; and 2.26 (95% CI: 1.75–2.92) for the combination of high sedentary behaviour time and insufficient physical activity.

Conclusion
Those who spent more time in sedentary behaviours (but were sufficiently physically active) and those who were insufficiently active (but spent less time in sedentary behaviour) had a similar risk of being overweight or obese. Reducing leisure-time sedentary behaviours may be as important as increasing leisure-time physical activity as a strategy to fight against obesity in adults.

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Purpose – This study aims to bring together theoretical concepts from the organizational justice, internal control and fraud literature to develop two distinct models relating to employee fraud and the quality of internal control procedures (ICP), respectively.

Design/methodology/approach – Survey data from 64 Australian firms were used to develop the two models. The first model was tested using a logistic regression analysis, and the second model was tested using a multiple regression analysis.

Findings – The first model reveals that the quality of ICP has a moderating effect on the relationship between perceptions of organizational justice and employee fraud. The second model indicates that ICP quality is significantly and positively related to three key organizational factors: the corporate ethical environment, the extent of risk management training of staff, and the internal audit (IA) activity level.

Practical implications – Risk management strategies relating to employee fraud will need to pay greater attention to organizational factors that affect both perceptions of justice at the workplace and ICP quality, including fostering a more ethical and equitable work environment, increasing IA activities and staff training in risk management.

Originality/value – Using the fraud triangle framework, this study extends previous literature by providing empirical evidence on the role of organizational justice and ICP regarding employee fraud.

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The study reported in this paper examined a group of Australian taxpayers who have expressed a preference for a creative and aggressive tax agent. The study attempted to understand how high-risk taxpayers and high-risk practitioners form their partnerships by examining aggressive taxpayers' attitudes and perceptions of the Australian tax system. Data were taken from 2040 Australian taxpayers who had responded to a national survey on tax issues. Results from a series of independent sample t-tests revealed that there are a number of important differences between 'aggressive' and 'non-aggressive' taxpayers. Finally, a logistic regression analysis was used to determine which variables most effectively differentiated aggressive taxpayers from non-aggressive taxpayers. The findings are discussed in a regulatory context and possible solutions for how tax authorities might deal with this high-risk group of taxpayer are suggested.

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Background: Obesity is a well-known cause of cardiovascular disease burden and premature death, but effects on depressive symptoms remain equivocal. Depressive symptoms may be more common among the obese individuals who perceive themselves as overweight, rather than those who perceive themselves as having an acceptable weight. Our aim was to determine whether weight status and weight perceptions are independently associated with psychological distress.

Methods: We conducted a cross-sectional study using data from the Australian National Health Survey 2004–2005 (N=17 253). All variables were collected by self-report. Adjusted multinomial logistic regression analysis was conducted to generate prevalence odds ratios with 95% confidence intervals (95% CI) for medium (Kessler Psychological Distress Scale (K10) scores of 20–29) and high (K10 scores of 30–50) psychological distress (compared with K10 scores of 10–19 as the reference) associated with weight status (standard body mass index (BMI) cutoffs for underweight, overweight and obesity vs normal weight), weight perception (perceived underweight and overweight vs acceptable weight) and weight misperception (incorrect with BMI vs correct with BMI) adjusting for numerous important covariates.

Results: Overweight and underweight perception increased the odds of medium (40 and 50%) and high (50 and 120%) psychological distress, whereas weight status and weight misperception were not associated with psychological distress in adjusted analysis. Gender, alcohol consumed per week and post-school education were not significant covariates (at P<0.10 level).

Conclusions: Overweight and underweight perception rather than weight status or weight misperception are significant risk factors associated with medium and high psychological distress prevalence and effects appear to be uniform for men and women. Well-designed prospective studies are still needed to determine whether weight perceptions cause psychological distress, and if so, whether symptoms are significantly reduced following effective intervention.

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Background Fruits and vegetables (F/V) have been examined extensively in nutrition research in relation to colorectal cancer (CRC). However, their protective effect is subject to debate, possibly because of different effects on different subsites of the large bowel.

Objective To determine whether any association between F/V consumption and risk of CRC differed by subsite of the bowel (proximal colon, distal colon, and rectum).

Design The Western Australian Bowel Health Study is a population-based, case-control study conducted between June 2005 and August 2007. Complete food frequency questionnaire data were analysed from 834 CRC cases and 939 controls. Logistic regression analysis was used to estimate the effects of quartiles of F/V intake on risk of CRC at different subsites. Odds ratios (OR) and 95% confidence intervals (CI) were calculated for CRC overall and for the three separate subsites.

Results Risk of proximal colon cancer and rectal cancer was not associated with intakes of total F/V, total vegetable, or total fruit. Brassica vegetable intake was inversely related with proximal colon cancer (Q4 vs Q1 OR 0.62; 95% CI 0.41 to 0.93). For distal colon cancer, significant negative trends were seen for total F/V, and total vegetable intake. Distal colon cancer risk was significantly decreased for intake of dark yellow vegetables (Q4 vs Q1 OR 0.61; 95% CI 0.41 to 0.92) and apples (Q4 vs Q1 OR 0.51; 95% CI 0.34 to 0.77). An increased risk for CRC was found to be associated with intake of fruit juice (Q4 vs Q1 OR 1.74; 95% CI 1.24 to 2.45).

Conclusions Our results suggest that different F/V may confer different risks for cancer of the proximal colon, distal colon, or rectum. Future studies might consider taking into account the location of the tumor when examining the relation between F/V consumption and risk of CRC.

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The objective was to study the multidimensional nature of the relationship between adult obesity (OB) and socio-economic status (SES),
using comprehensive indices of SES taken separately or synthesised in an overall index. A nationally representative sample of adults aged
18–79 years was taken from the French second National Individual Survey on Food Consumption (INCA 2) dietary survey (2006–07).
Weight and height were measured and OB defined as BMI $ 30 kg/m2. SES variables were reported in questionnaires and included
occupation, education and characteristics of household wealth. Composite indices of SES (household wealth and overall SES indices)
were computed by correspondence analysis, and relationships with OB were investigated with logistic regression analysis. In total, 11·8
(95% CI 10·1, 13·4) % of French adults were obese, without significant difference by sex. While no significant relationship was observed
in men, all SES indicators were inversely correlated to OB in women. Both education and the household wealth index were retained in the
stepwise multivariate model, confirming that different socio-economic variables are not necessarily proxies of each other regarding the OB
issue. On the other hand, ‘controlling for SES’ while including several measures of SES in multivariate models may lead to collinearity, and
thus over-adjustment. A more integrative approach may be to derive a synthetic index by including the SES factors available in a given
study. Beyond this methodological perspective, understanding how OB is related to the different dimensions of SES should help to
target the more vulnerable groups and increase the effectiveness of prevention.

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Summary Despite targeted attempts to reduce post-fracture care gaps, we hypothesized that a larger care gap would be experienced by First Nations compared to non-First Nations people. First Nations peoples were eight times less likely to receive post-fracture care compared to non-First Nations peoples, representing a clinically significant ethnic difference in post-fracture care.

Introduction First Nations peoples are the largest group of aboriginal (indigenous or native) peoples in Canada. Canadian First Nations peoples have a greater risk of fracture compared to non-First Nations peoples. We hypothesized that ethnicity might be associated with a larger gap in post-fracture care.

Methods Non-traumatic major osteoporotic fractures for First Nations and non-First Nations peoples aged ≥50 years were identified from a population-based data repository for Manitoba, Canada between April 1996 and March 2002. Logistic regression analysis was used to examine the probability of receiving a BMD test, a diagnosis of osteoporosis, or beginning an osteoporosis-related drug in the 6 months post-fracture.

Results A total of 11,234 major osteoporotic fractures were identified; 502 occurred in First Nations peoples. After adjustment for confounding covariates, First Nations peoples were less likely to receive a BMD test [odds ratio (OR) 0.1, 95% confidence interval (CI), 0.0–0.5], osteoporosis-related drug treatment (OR, 0.5; 95% CI, 0.3–0.7), or a diagnosis of osteoporosis (OR, 0.5; 95% CI, 0.3–0.7) following a fracture compared to non-First Nations peoples. Females were more likely to have a BMD test (OR, 5.0; 95% CI, 2.6–9.3), to be diagnosed with osteoporosis (OR, 1.7; 95% CI, 1.5–2.0), and to begin drug treatment (OR, 4.1; 95% CI, 2.7–6.4) compared to males.

Conclusions An ethnicity difference in post-fracture care was observed. Further work is needed to elucidate underlying mechanisms for this difference and to determine whether failure to initiate treatment originates with the medical practitioner, the patient, or a combination of both. It is imperative that all residents of Manitoba receive efficacious and equal care post-fracture, regardless of ethnicity.

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Background: Increased oxidative stress is thought to contribute to the pathophysiology of major depressive disorder (MDD), which is in part due to diminished levels of glutathione, the primary anti-oxidant of the brain. Oral administration of N-acetyl-cysteine (NAC) replenishes glutathione and has therefore been shown to reduce depressive symptoms. Proton magnetic spectroscopy (1H-MRS) that allows quantification of brain metabolites pertinent to both MDD and oxidative biology may provide some novel insights into the neurobiological effects of NAC, and in particular metabolite concentrations within the anterior cingulate cortex (ACC) are likely to be important given the key role of this region in the regulation of affect.

Objective: The aim of this study was to determine whether the metabolite profile of the ACC in MDD patients predicts treatment with adjunctive NAC versus placebo.

Methods: This study was nested within a multicentre, randomized, double-blind, placebo-controlled study of MDD participants treated with adjunctive NAC. Participants (n = 76) from one site completed the spectroscopy component at the end of treatment (12 weeks). Spectra from a single-voxel in the ACC were acquired and absolute concentrations of glutamate (Glu), glutamate-glutamine (Glx), N-acetyl-aspartate (NAA) and myo-inositol (mI) were obtained. Binary logistic regression analysis was performed to determine whether metabolite profiles could predict NAC versus placebo group membership.

Results: When predicting group outcome (NAC or placebo), Glx, NAA and mI were a significant model, and had 75% accuracy, while controlling for depression severity and sex. However, the Glu, NAA and mI profile was only predictive at a trend level, with 68.3% accuracy. For both models, the log of the odds of a participant being in the NAC group was positively related to NAA, Glx and Glu levels and negatively related to mI levels.

Conclusion: The finding of higher Glx and NAA levels being predictive of the NAC group provides preliminary support for the putative anti-oxidative role of NAC in MDD.

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Background/Objectives: The objectives of the present study were to describe food and nutrient intakes in children aged 9 and 18 months, and to assess tracking of intakes between these two ages.

Subjects/Methods: Participants were 177 children of first-time mothers from the control arm of the Melbourne Infant Feeding Activity and Nutrition Trial (InFANT) Program. Dietary intake was collected at 9 and 18 months using three 24 h diet recalls. Tracking was assessed for food and nutrient intakes using logistic regression analysis and estimating partial correlation coefficients, respectively.

Results: Although overall nutrient intakes estimated in this study did not indicate a particular risk of nutrient deficiency, our findings suggest that consumption of energy-dense, nutrient-poor foods occurred as early as 9 months of age, with some of these foods tracking highly over the weaning period. Intakes of healthier foods such as fruits, vegetables, dairy products, eggs, fish and water were also relatively stable over this transition from infancy to toddlerhood, along with moderate tracking for riboflavin, iodine, fibre, calcium and iron. Tracking was low but close to ρ=0.3 for zinc, magnesium and potassium intakes.

Conclusions: The tracking of energy-dense, nutrient-poor foods has important implications for public health, given the development of early eating behaviours is likely to be modifiable. At this stage of life, dietary intakes are largely influenced by the foods parents provide, parental feeding practices and modelling. This study supports the importance of promoting healthy dietary trajectories from infancy.

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Purpose – The purpose of this paper is to use Australian Real Estate Investment Trust (A-REIT) data to empirically examine potential influencing factors on A-REITs becoming a bidder or a target in the mergers and acquisitions (M&A) area.

Design/methodology/approach – This study uses logistic regression analysis to investigate the odds of publically traded A-REITs being either a bidder or a target as a function of a number of financial and corporate governance variables.

Findings – Prior research in the US REIT M&A area has shown that target size is inversely related to takeover likelihood; in contrast, the authors’ Australian results show that size has a positive impact. Prior research on share price and asset performance has shown that underperformance increases the odds of an entity becoming a target, but this paper’s results further support these findings and provide confirmation of the inefficient management hypothesis. For acquirers it was found that leverage, cash balances, management structure, the level of shares held by related parties and the global financial crisis have an important impact on bidder likelihood.

Practical implications – Given that the literature suggests that investors can earn significant positive abnormal returns by owning targets, but incur significant abnormal losses by owning bidders, at announcement, this study will be useful to fund managers and other investors in A-REITs by investigating the characteristics of those firms that become targets and bidders.

Originality/value – This paper adds to the recent US REIT M&A literature by examining the second biggest REIT market in the world and reporting a number of factors that might influence A-REITs to become targets or bidders.