Applied Regression Analysis and Other Multivariate Methods.

Iversen, Gudmund R.; Kleinbaum, David G.; Kupper, Lawrence L.; Muller, Keith E.

doi:10.2307/2289682

Cited by 26 publications

(26 citation statements)

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“…For each group, a bestfit line was then calculated by use of the least-square method to evaluate the change in renal function. 9,11 A test for parallelism of 2 regression lines 12 was used to determine whether the change in the reciprocal of serum creatinine concentration was the same for the 2 groups. Data obtained at the time of a uremic crisis were not included in these analyses.…”

Section: Methodsmentioning

confidence: 99%

A case-control study of the effects of nephrolithiasis in cats with chronic kidney disease

Ross¹,

Osborne

Lekcharoensuk³

et al. 2007

javma

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Section: Methodsmentioning

confidence: 99%

A case-control study of the effects of nephrolithiasis in cats with chronic kidney disease

Ross¹,

Osborne

Lekcharoensuk³

et al. 2007

javma

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“…In addition, multicollinearity among independent variables was examined using two methods, namely, tolerance test and variance inflation factor (VIF) as proposed by Kleinbaum et al (1988). Furthermore, the regression models result with VIFs showed that the attained VIF values were between 1 and 2.516, and clearly, the values were all lower than 10, and so, the data set of the current study was problem free.…”

Section: Discussionmentioning

confidence: 92%

Antecedents of acceptance model for e-procurement in Jordanian public shareholding firms

Almajali

Majali

Masa'deh

et al. 2023

JCM

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Purpose The commonly used e-procurement systems still show unsatisfactory implementation outcomes because many organisations are still unable to effectively interpret the initial adoption decision. The e-procurement systems are generally developed at organisational level, but their usage is at individual level, by the employees particularly. This paper examined technology acceptance model’s (TAM) key antecedents, involving e-procurement systems usage by employees in their daily activities. This study aims to examine the impact of factors affecting e-procurement acceptance among users through the mediating role of users’ attitude. The commonly used e-procurement systems still show. Design/methodology/approach TAM was applied and expanded in this study, in exploring the factors impacting the employees’ e-procurement acceptance. This study used quantitative method, and questionnaires were distributed to 200 users in Jordanian public shareholding firms. The collected data were quantitatively analysed using PLS modelling. Findings Significant TAM relationships involving e-procurement were affirmed. The expanded TAM in the scrutiny of antecedents showed that content, processing and usability affected perceived usefulness, while perceived convenience did not affect the usefulness factor. Furthermore, it was noticed that perceived ease of use was affected by usability and training, while perceived connectedness was not affected by usability and training. Practical implications The results demonstrated the necessity of e-procurement training. Furthermore, at the start of the implementation stage, effective design on system navigation and system usability, and consistent support, could increase use effectiveness and acceptance. Also, expedient information and buyer–supplier product flows should be made available. Originality/value Most organizations invest a lot of time and money in installing e-procurement systems to deliver their goods at the right time and at the right price. However, many of these e-procurement systems have failed due to low acceptance among users. Thus, to the best of the authors’ knowledge, this is the first study that used TAM and theory of planned behaviour in examining the effects of perceived convenience, perceived connectedness, content, training, processing and usability factors, in Jordanian firms. Lastly, the focus of this study was on the individual employee’s acceptance, rather than on the organisational-level adoption, as the unit of analysis, to provide insight on how organisations can achieve maximally from e-procurement investments and from other comparable technologies of e-supply chain management.

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“…FDA 20 and PLSDA [21][22][23] methods were employed using the SAISIR 24 Package which is an open source code. Since a stepwise discriminant analysis method along with verification has been employed for generating classification models (SAISIR documentation) for all of these methods, a criterion of 95% classification efficiency was used for selecting a minimum number of factors for generating models.…”

Section: Data Analysis 31 Linear Discriminant Methodsmentioning

confidence: 99%

Comparative evaluation of spectroscopic models using different multivariate statistical tools in a multicancer scenario

et al. 2011

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Cancer is now recognized as one of the major causes of morbidity and mortality. Histopathological diagnosis, the gold standard, is shown to be subjective, time consuming, prone to interobserver disagreement, and often fails to predict prognosis. Optical spectroscopic methods are being contemplated as adjuncts or alternatives to conventional cancer diagnostics. The most important aspect of these approaches is their objectivity, and multivariate statistical tools play a major role in realizing it. However, rigorous evaluation of the robustness of spectral models is a prerequisite. The utility of Raman spectroscopy in the diagnosis of cancers has been well established. Until now, the specificity and applicability of spectral models have been evaluated for specific cancer types. In this study, we have evaluated the utility of spectroscopic models representing normal and malignant tissues of the breast, cervix, colon, larynx, and oral cavity in a broader perspective, using different multivariate tests. The limit test, which was used in our earlier study, gave high sensitivity but suffered from poor specificity. The performance of other methods such as factorial discriminant analysis and partial least square discriminant analysis are at par with more complex nonlinear methods such as decision trees, but they provide very little information about the classification model. This comparative study thus demonstrates not just the efficacy of Raman spectroscopic models but also the applicability and limitations of different multivariate tools for discrimination under complex conditions such as the multicancer scenario.

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Applied Regression Analysis and Other Multivariate Methods.

Cited by 26 publications

References 0 publications

A case-control study of the effects of nephrolithiasis in cats with chronic kidney disease

A case-control study of the effects of nephrolithiasis in cats with chronic kidney disease

Antecedents of acceptance model for e-procurement in Jordanian public shareholding firms

Comparative evaluation of spectroscopic models using different multivariate statistical tools in a multicancer scenario

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