New Perspectives in Partial Least Squares and Related Methods

Abdi, Hervé; Chin, Wynne W.; Vinzi, Vincenzo Esposito; Russolillo, Giorgio; Trinchera, Laura

doi:10.1007/978-1-4614-8283-3

Cited by 48 publications

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“…and the covariance between T and U is maximum (Abdi and Williams, 2013). In the above equations, T is the n × r X scores, U is the n × r Y scores, P is the p × r X loadings, Q is the 1 × r Y loadings, E and F are residuals, and r is the number of extracted latent variables.…”

Section: Methodsmentioning

confidence: 99%

Gray Matter Atrophy Is Primarily Related to Demyelination of Lesions in Multiple Sclerosis: A Diffusion Tensor Imaging MRI Study

et al. 2017

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Objective: Cortical pathology, periventricular demyelination, and lesion formation in multiple sclerosis (MS) are related (Hypothesis 1). Factors in the cerebrospinal fluid close to these compartments could possibly drive the parallel processes. Alternatively, the cortical atrophy could be caused by remote axonal transection (Hypothesis 2). Since MRI can differentiate between demyelination and axon loss, we used this imaging modality to investigate the correlation between the pattern of diffusion parameter changes in the periventricular- and deep white matter and the gray matter atrophy.Methods: High-resolution T1-weighted, FLAIR, and diffusion MRI images were acquired in 52 RRMS patients and 50 healthy, age-matched controls. We used EDSS to estimate the clinical disability. We used Tract Based Spatial Statistics to compare diffusion parameters (fractional anisotropy, mean, axial, and radial diffusivity) between groups. We evaluated global brain, white, and gray matter atrophy with SIENAX. Averaged, standard diffusion parameters were calculated in four compartment: periventricular lesioned and normal appearing white matter, non-periventricular lesioned and normal appearing white matter. PLS regression was used to identify which diffusion parameter and in which compartment best predicts the brain atrophy and clinical disability.Results: In our diffusion tensor imaging study compared to controls we found extensive alterations of fractional anisotropy, mean and radial diffusivity and smaller changes of axial diffusivity (maximal p > 0.0002) in patients that suggested demyelination in the lesioned and in the normal appearing white matter. We found significant reduction in total brain, total white, and gray matter (patients: 718.764 ± 14.968, 323.237 ± 7.246, 395.527 ± 8.050 cm3, controls: 791.772 ± 22.692, 355.350 ± 10.929, 436.422 ± 12.011 cm3; mean ± SE), (p < 0.015; p < 0.0001; p < 0.009; respectively) of patients compared to controls. The PLS analysis revealed a combination of demyelination-like diffusion parameters (higher mean and radial diffusivity in patients) in the lesions and in the non-lesioned periventricular white matter, which best predicted the gray matter atrophy (p < 0.001). Similarly, EDSS was best predicted by the radial diffusivity of the lesions and the non-lesioned periventricular white matter, but axial diffusivity of the periventricular lesions also contributed significantly (p < 0.0001).Interpretation: Our investigation showed that gray matter atrophy and white matter demyelination are related in MS but white matter axonal loss does not significantly contribute to the gray matter pathology.

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Section: Methodsmentioning

confidence: 99%

Gray Matter Atrophy Is Primarily Related to Demyelination of Lesions in Multiple Sclerosis: A Diffusion Tensor Imaging MRI Study

et al. 2017

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“…Harman test. We also address this concern by applying a procedure called "the measured latent marker variable approach" (Chin et al, 2013) where we add a control variable that doesn't relate to the items in the proposed model (Chin et al, 2013;Mahama & Cheng, 2013;Nitzl, 2016).…”

Section: Finally Another Threat To Construct Validity Is Common Methmentioning

confidence: 99%

“…We attribute this result to the subjective measures that were used in paper 2, such as for procedural justice and stewardship identification. To address potential common method bias problem, we adopted the latent marker variable approach (Chin et al, 2013), which we explain in the sequence.…”

Section: Finally Another Threat To Construct Validity Is Common Methmentioning

confidence: 99%

“…Therefore, we controlled the dependent variables for the latent marker variable approach (Chin et al, 2013). This latent variable is expected to be not correlated to our constructs.…”

Section: Finally Another Threat To Construct Validity Is Common Methmentioning

confidence: 99%

“…To validate the MLMV measure, we run correlation analyses that demonstrate that the MLMV items are not significantly correlated to the indicators that we use to measure our dependent variables (Chin et al, 2013;Mahama & Cheng, 2013;Nitzl, 2016), which results are presented in the measurement model subsection of papers 1 and 2.…”

Section: Finally Another Threat To Construct Validity Is Common Methmentioning

confidence: 99%

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Management control mechanisms and stewardship in family firms: an analysis of antecedents and consequences

Mucci¹

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This Ph.D. dissertation is a result of hard work, dedication and effort on my part as well as many other people, in special the two promotors of this Ph.D. study. First, I would like to thank God for enlightening me and everyone around me including my family, professors and colleagues. I dedicate this Ph.D. dissertation to my grandparents, Joaquim and Adélia, who, although they are not present in life, certainly, are very happy and proud of this achievement. And to Grandma Maria, who despite the long distance during this years that I have been living in Sao Paulo, I believe she is very happy to have a grandson reaching this academic degree and who will follow a teaching career. I also dedicate this Ph.D. to my parents, Paulo and Berenice, for providing me with values to which I mirror my attitudes, for guiding me and for unconditionally supporting my decisions and to my brother Gustavo, for being a symbol of dedication to me. I dedicate this Ph.D. to Marcela, for sharing all the moments with me during all these many years and for encouraging and motivating me in every step that I take. To her family for supporting us in the pursuit of our goals. My gratitude also goes to Aunt Consola and Uncle Júlio, for giving me the opportunity to be with them more intensely in these last years, providing me with care and advise that I carry for life. To my uncles and cousins, and my family for all their support. Particularly, I would like to thank my promotors for their support to develop this Ph.D. dissertation. Prof. Fábio Frezatti, who in the last almost six years has been sharing his knowledge and experience with me, providing me with advices that I carry in my career and life. Prof. Ann Jorissen, who accepted to guide my Ph.D. project and provided me with unique insights and with the opportunity to develop the doctoral thesis jointly between USP and the University of Antwerp. I feel privileged to have two promotors with numerous professional, academic and personal qualities, and for being involved in the development of this Ph.D. dissertation. I also would like to thank all those directly and indirectly involved in the implementation of the joint Ph.D. agreement in USP and in UAntwerpen, specially Cida, Ana Paula, and Adriana from USP and Esmeralda Aerts from UAntwerpen. This experience and interaction were very important for my training and for the quality of this Ph.D. dissertation. Many thanks to my colleagues from FEA/USP, for sharing knowledge and experiences during the courses and activities. In particular, to Bianca, Samantha, Franciele and Daiana for supporting me during the courses and in this Ph.D. dissertation. To the professors of the Accounting and Actuarial Department at the FEA/USP for providing me with knowledge and expertise in accounting topics. I also appreciate my colleagues and professors from the University of Antwerp for welcoming me into their Department. Especially my thanks to Poppy, Veronique, Robin, Oveis, Gertjan, Sabine, Caroline and all the colleagues and professors with whom I had the oppor...

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Quantification, Validation and Uncertainty in Analytical Sciences

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New Perspectives in Partial Least Squares and Related Methods

Cited by 48 publications

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Gray Matter Atrophy Is Primarily Related to Demyelination of Lesions in Multiple Sclerosis: A Diffusion Tensor Imaging MRI Study

Gray Matter Atrophy Is Primarily Related to Demyelination of Lesions in Multiple Sclerosis: A Diffusion Tensor Imaging MRI Study

Management control mechanisms and stewardship in family firms: an analysis of antecedents and consequences

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