Confidence Intervals for the Predictions of Logistic Regression in the Presence and Absence of a Variance- Covariance Matrix

Sofroniou, Nick; Hutcheson, Graeme

doi:10.1207/s15328031us0101_02

Cited by 20 publications

(13 citation statements)

References 3 publications

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“…Regression analyses were conducted using Statistica (v6.1, Statsoft, Tulsa, OK) and comparisons between coefficients were performed at the p < 0.05 level. Confidence bands for the regressions were computed using variance-covariance matrices [25].…”

Section: Discussionmentioning

confidence: 99%

The effect of subject awareness and prior slip experience on tribometer-based predictions of slip probability

et al. 2006

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Section: Discussionmentioning

confidence: 99%

The effect of subject awareness and prior slip experience on tribometer-based predictions of slip probability

et al. 2006

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“…In the figures, the means are reported as the probability of responding along with the estimated standard errors of this probability (Sofroniou & Hutcheson, 2002). For the acquisition data, models were tested using 2-way interaction terms including ethanol treatment vs. conditioning trial number to test whether there were differences in the rate of acquisition.…”

Section: Methodsmentioning

confidence: 99%

Acute ethanol ingestion impairs appetitive olfactory learning and odor discrimination in the honey bee

Mustard

Edgar²,

Mazade

et al. 2008

Neurobiology of Learning and Memory

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Invertebrates are valuable models for increasing our understanding of the effects of ethanol on the nervous system, but most studies on invertebrates and ethanol have focused on the effects of ethanol on locomotor behavior. In this work we investigate the influence of an acute dose of ethanol on appetitive olfactory learning in the honey bee (Apis mellifera), a model system for learning and memory. Adult worker honey bees were fed a range of doses (2.5, 5, 10 or 25%) of ethanol and then conditioned to associate an odor with a sucrose reward using either a simple or differential conditioning paradigm. Consumption of ethanol before conditioning significantly reduced both the rate of acquisition and the asymptotic strength of the association. Honey bees also exhibited a dose dependent reduction in arousal/attention during conditioning. Consumption of ethanol after conditioning did not affect recall 24 h later. The observed deficits in acquisition were not due to the affect of ethanol on gustatory sensitivity or motor function. However, honey bees given higher doses of ethanol had difficulty discriminating amongst different odors suggesting that ethanol consumption influences olfactory processing. Taken together, these results demonstrate that an acute dose of ethanol affects appetitive learning and olfactory perception in the honey bee.

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“…More specifically, for each of the four models, we calculated the average probability of the outcome having a positive response within each comorbidity quartile (15). For the adjusted predicted probabilities, we entered the mean values of all remaining covariates from each comorbidity quartile.…”

mentioning

confidence: 99%

Burden of Comorbid Medical Conditions and Quality of Diabetes Care

et al. 2007

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OBJECTIVE -With performance-based reimbursement pressures, it is concerning that most performance measurements treat each condition in isolation, ignoring the complexities of patients with multiple comorbidities. We sought to examine the relationship between comorbidity and commonly assessed services for diabetic patients in a managed care organization.RESEARCH DESIGN AND METHODS -In 6,032 diabetic patients, we determined the association between the independent variable medical comorbidity, measured by the Charlson Comorbidity Index (CCI), and the dependent variables A1C testing, lipid testing, dilated eye exam, and urinary microalbumin testing. We calculated predicted probabilities of receiving tests for patients with increasing comorbid illnesses, adjusting for patient demographics.RESULTS -A1C and lipid testing decreased slightly at higher CCI: predicted probabilities for CCI quartiles 1, 2, 3, and 4 were 0. CONCLUSIONS -Services received did not differ based on comorbid illness burden. Because it is not clear whether equally aggressive care confers equal benefits to patients with varying comorbid illness burden, more evidence confirming such benefits may be warranted before widespread implementation of pay-for-performance programs using currently available "one size fits all" performance measures. Diabetes Care 30:2999-3004, 2007D elivering high-quality medical care is a major focus in today's health care market. To achieve the desired gains in quality, performance measures rooted in guideline-recommended care have been widely implemented and are being publicly reported (1). Accumulating reports suggest that these practices are having measurable effects, but progress may not be sufficiently rapid (2). This commitment to quality has spawned a new direction in accountability, with clear movement toward tightening the link between reimbursements and highquality care (3).The growing enthusiasm for pay-forperformance (P4P) programs may also usher in a new set of problems. Most performance measures focus on the quality of care provided for a single disease (4). Yet, as the U.S. population ages, the number of patients with a high burden of chronic medical conditions is increasing. In 1999, 48% of Medicare enrollees aged Ն65 years had at least three chronic medical conditions, and 21% had five or more (5).Patients having multiple conditions create considerable management complexity, forcing the clinician to consider and prioritize a large array of recommended interventions and preventive services. Market forces may encourage physicians to "play to the test" (6), possibly replacing valuable time in the office visit that could be spent addressing issues that have a greater impact on quality of life. Ultimately, how we should adjust performance measurement to reflect this complexity presents a major challenge.The forces of quality measurement, performance-based reimbursement, and multiple comorbidities dramatically converge for patients who have diabetes, which affects 20.8 million Americans (7). Many patients with dia...

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Confidence Intervals for the Predictions of Logistic Regression in the Presence and Absence of a Variance- Covariance Matrix

Cited by 20 publications

References 3 publications

The effect of subject awareness and prior slip experience on tribometer-based predictions of slip probability

The effect of subject awareness and prior slip experience on tribometer-based predictions of slip probability

Acute ethanol ingestion impairs appetitive olfactory learning and odor discrimination in the honey bee

Burden of Comorbid Medical Conditions and Quality of Diabetes Care

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