Maximum Likelihood Estimation of Functional Relationships

Nagelkerke, Nico

doi:10.1007/978-1-4612-2858-5_2

Cited by 21 publications

(14 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To explore whether gender, age and severity of injury would improve the models, these variables were added in the regression, but, as they did not have a positive effect, the original model was chosen to decrease the number of variables in the model. For the degree of variance explained in the logistic regression the Cox & Snell (17) and Nagelkerke (18) were used, and reported as an interval.…”

Section: Discussionmentioning

confidence: 99%

Factors affecting participation after traumatic brain injury

Larsson¹,

Björkdahl²,

Esbjörnsson³

et al. 2013

J Rehabil Med

View full text Add to dashboard Cite

Objective: The aim of this work was to explore the extent to which social, cognitive, emotional and physical aspects influence participation after a traumatic brain injury. Design/subjects: An explorative study of the patient perspective of participation 4 years after traumatic brain injury. The cohort consisted of all patients (age range 18-65 years), presenting in 1999-2000, admitted to the hospital (n = 129). Sixty-three patients responded; 46 males and 17 females, mean age 41 (range 19-60) years. Methods: Four years after the injury, the European Brain Injury Questionnaire (EBIQ), EuroQol-5D, Swedish Stroke Register Questionnaire and Impact on Participation and Autonomy (IPA) questionnaire were sent to the sample. Data were analysed with logistic regression. Results: On the EBIQ, 40% of the sample reported problems in most questions. According to IPA, between 20% and 40% did not perceive that they had a good participation. The analyses gave 5 predictors reflecting emotional and social aspects, which could explain up to 70% of the variation in participation. Conclusion: It is not easy to find single predictors, as there seems to be a close interaction between several aspects. Motor deficits appear to have smaller significance for participation in this late state, while emotional and social factors play a major role.

show abstract

Section: Discussionmentioning

confidence: 99%

Factors affecting participation after traumatic brain injury

Larsson¹,

Björkdahl²,

Esbjörnsson³

et al. 2013

J Rehabil Med

View full text Add to dashboard Cite

show abstract

“…Given this high detectability, we report the results of traditional logistic models, but results were identical in PRESENCE. Model fit was evaluated using Nagelkerke's maxrescaled R 2 (R 2 N ), which provides a measure of the proportion of variance explained through logistic regression (Nagelkerke 1992).…”

mentioning

confidence: 99%

On the generality of a climate-mediated shift in the distribution of the American pika (Ochotona princeps)

Erb

Ray

Guralnick

2011

Ecology

132

View full text Add to dashboard Cite

Abstract. Alpine species are among those most threatened by climatic shifts due to their physiological and geographic constraints. The American pika (Ochotona princeps), a small mammal found in mountainous, rocky habitats throughout much of western North America, has experienced recent population extirpations in the Great Basin linked to climatic drivers. It remains unclear whether these patterns of climate-related loss extend to other portions of the species' range. We investigated the distribution of the American pika and the climatic processes shaping this distribution within the Southern Rocky Mountain region. Results from a survey of 69 sites historically occupied by pikas indicate that only four populations have been extirpated within this region over the past few decades. Despite relatively few extirpations, low annual precipitation is implicated as a limiting factor for pika persistence in the Southern Rockies. Extirpations occurred only at sites that were consistently dry over the last century. While there was no climate change signal in our results, these data provide valuable insight into the potential future effects of climate change on O. princeps throughout its range.

show abstract

“…Cox and Snell's R 2 has a lower value due to its definition. As Nagelkerke (1992) points out that the main disadvantage of using Cox and Snell's R 2 to measure the model fit of a logistic regression is that the value can never achieve its maximum value of 1. Nagelkerke's R 2 was then developed as a modification of Cox and Snell's R 2 .…”

Section: Logit Analysesmentioning

confidence: 98%