Applied Data Analytic Techniques For Turning Points Research

Cohen, Patricia

doi:10.4324/9780203843147

Cited by 20 publications

(16 citation statements)

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“…Research with non-veteran populations has established that structural factors including poverty, homelessness, or periods of abstinence from opioids due to incarceration, hospitalization or inpatient drug treatment can increase vulnerability for overdose (Binswanger, Blatchford, Mueller, & Stern, 2013; Galea et al, 2003; Hembree et al, 2005; Jones, Mack, & Paulozzi, 2013; Nandi et al, 2006; Rowe et al, 2016). Moreover, interpersonal relationships and events, social supports and life turning points (Cohen, 2008; Elder, 1986; Nagin, Barker, Lacourse, & Tremblay, 2008) can influence opioid-using veterans’ substance use practices and behaviors in ways that can contribute to an overdose event (Wawrzyniak et al, 2014). …”

Section: Introductionmentioning

confidence: 99%

Opioid-Involved Overdose Among Male Afghanistan/Iraq-Era U.S. Military Veterans: A Multidimensional Perspective

Bennett

Elliott

Golub

et al. 2017

Substance Use & Misuse

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Background Mirroring nationwide trends in a broad range of U.S. populations, an alarming number of Afghanistan/Iraq-era U.S. Military veterans have experienced opioid-related overdoses. A growing body of research has examined the proximal behaviors that can precipitate an overdose; considerably less is known about more distal physiological, psychosocial and structural influences on these risk behaviors. Objectives This study adopts a multidimensional approach to better understand opioid-related overdose among U.S. Military veterans, and seeks to explore not only the proximal behavioral precipitants of overdose events, but also the complex nexus of physiological, psychological, and sociological influences that undergird overdose events. Methods This qualitative examination is based on interview data from 36 male veterans who were discharged from the military after September 2001 and experienced at least one opioid-related overdose during or after military service. Participants were recruited in New York City during 2014 to share narrative accounts of their overdoses. Results Veterans’ accounts indicate that background experiences, such as self-medication for social and psychological pain, trauma, social alienation and isolation, and histories of illicit drug use, precondition the more immediate factors and behaviors that precipitate overdose (including bingeing on drugs, mixing drugs, naiveté about dosage, and ambivalence about life/death). Conclusions Findings suggest the need for comprehensive drug safety and overdose education that is sensitive to veterans’ physiological, psychological, and sociological conditions. A multidimensional understanding of the distal and proximal overdose risks faced by veterans and other vulnerable groups may help lay a foundation for more inclusive/holistic approaches to overdose prevention and education.

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Section: Introductionmentioning

confidence: 99%

Opioid-Involved Overdose Among Male Afghanistan/Iraq-Era U.S. Military Veterans: A Multidimensional Perspective

Bennett

Elliott

Golub

et al. 2017

Substance Use & Misuse

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“…It has been used in many applications, e.g. in AIDS research (Kiuchi et al., 1995), in social statistics (Cohen, 2008), and in medical statistics, (Hall et al., 2003; Muniz-Terrera et al., 2011). …”

Section: Introductionmentioning

confidence: 99%

Change point models for cognitive tests using semi-parametric maximum likelihood

Hout¹,

Muniz‐Terrera²,

Matthews³

2013

Computational Statistics & Data Analysis

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Random-effects change point models are formulated for longitudinal data obtained from cognitive tests. The conditional distribution of the response variable in a change point model is often assumed to be normal even if the response variable is discrete and shows ceiling effects. For the sum score of a cognitive test, the binomial and the beta-binomial distributions are presented as alternatives to the normal distribution. Smooth shapes for the change point models are imposed. Estimation is by marginal maximum likelihood where a parametric population distribution for the random change point is combined with a non-parametric mixing distribution for other random effects. An extension to latent class modelling is possible in case some individuals do not experience a change in cognitive ability. The approach is illustrated using data from a longitudinal study of Swedish octogenarians and nonagenarians that began in 1991. Change point models are applied to investigate cognitive change in the years before death.

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“…To achieve this objective, once the bibliography review, we choose a multicriteria analysis of the IQA&EQM criteria with the application of cluster analysis (Moore and Nots 2006;Härdle 2007;MacKinnon 2008;Cohen 2008;Hair 2009). …”

Section: Introductionmentioning

confidence: 99%

International quality awards and excellence quality models around the world. A multidimensional analysis

Alonso‐Almeida

Fuentes-Frías

2011

Qual Quant

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There are many theories about what is Total Quality Management and the scope to implement it. Researchers from several countries agree that the International Quality Awards and Excellence Quality Models are the viable form to achieve, under these criteria, an excellence in quality topics. However, if we analyze carefully the criteria of these awards around the world, we can find likely the most heterogeneous element as a guide and evaluation, depending on the geographical places. But the truth is that quality is a universal concept and the achievement of Total Quality Management needs the criteria and unified elements around the world. The aim of this paper is to find a logical structure to evaluate and apply the Total Quality Management in any company around the world despite cultural and geographical situations. As a result of the research, thirty nine International Quality Awards and Excellence Quality Models were examined through the cluster analysis, carrying out seven dimensions that involve all necessary criteria to achieve and evaluate the Total Quality Management.

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Applied Data Analytic Techniques For Turning Points Research

Cited by 20 publications

References 0 publications

Opioid-Involved Overdose Among Male Afghanistan/Iraq-Era U.S. Military Veterans: A Multidimensional Perspective

Opioid-Involved Overdose Among Male Afghanistan/Iraq-Era U.S. Military Veterans: A Multidimensional Perspective

Change point models for cognitive tests using semi-parametric maximum likelihood

International quality awards and excellence quality models around the world. A multidimensional analysis

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