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Relevant bibliographies by topics / Subgroups Identification / Dissertations / Theses

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Dissertations / Theses on the topic 'Subgroups Identification'

Author: Grafiati

Published: 14 March 2023

Last updated: 31 July 2025

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1

Nesci, Julian, and julian nesci@gmail com. "Identification and clinical utility of subgroups of borderline personality disorder." RMIT University. Health Science, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20091022.141342.

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Borderline personality disorder (BPD) is a complex psychiatric condition whose severity is compounded by the heterogeneous psychological functioning of those who suffer from the disorder. This heterogeneity has made the identification of a unified treatment strategy difficult and attempts to resolve this variation within the disorder by investigating subtypes of BPD have been made. However, the clinical utility of this approach has not been examined. The major object of this research project was to investigate the presence of subtypes of BPD and to examine whether treatment effectiveness varie

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2

Raak, Ragnhild. "Identification of subgroups in experimental and chronic pain : sensory, emotional and evaluative aspects /." Linköping : Univ, 2002. http://www.bibl.liu.se/liupubl/disp/disp2002/med714s.pdf.

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3

Brode, Cassie. "Identification of Latent Subgroups of Obese Adolescents Enrolled in a Healthy Weight Management Program." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/373.

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In obesity research, it is assumed that the population is homogeneous. While this approach has yielded important insights, testing this supposition might reveal information that could impact our understanding of the phenomena and its treatment. In this study, data from obese teenagers (N = 248, Mean BMI percentile = 99%; Mean age = 13.9, SD = 1.8) who were predominantly minority (n = 182), female (n = 169), and enrolled in a weight loss intervention were analyzed. Latent profile analysis (LPA) was used to segment patients into groups based on their scores on PedsQL 4.0 scales (physical-, emoti

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Mo, Daojun. "The identification of subgroups of the general population susceptible to the effects of ambient particulate air pollution." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0019/MQ55079.pdf.

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5

Vendramini, E. "Identification of new subgroups and prognostic markers in pediatric B cell precursor acute lymphoblastic leukemia by gene expression profiling." Doctoral thesis, Università degli studi di Padova, 2010. http://hdl.handle.net/11577/3423224.

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Treatment of pediatric acute lymphoblastic leukemia (ALL) is increasingly successful, achieving cure rates of over 80%. Early identification of patients with high risk for relapse has led to improved outcome, however, two third of patients encountering relapse were initially stratified into low-intermediate risk groups. The identification of better upfront prognostic factors remains an important challenge in childhood ALL. In this thesis, gene expression profiling (GEP) was applied to different research approaches aiming to dissect subgroups and to find novel therapeutic targets in B cell pre

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Keller, Daniel L. "The identification and validation of teaching skills critical to generic elementary classroom teaching as determined by expert consensus among educator subgroups /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu14878480784499.

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7

Ivanauskas, Algirdas, and ALGIRDAS IVANAUSKAS. "Fitoplazmos ir jų vabzdžiai pernešėjai Lietuvoje." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140620_091440-40989.

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Disertacijos darbo tikslas – aptikti ir identifikuoti Lietuvoje paplitusias fitoplazmas vabzdžiuose, surinktuose nuo įvairių augalų su fitoplazminiais simptomais ir nustatyti fitoplazmų vabzdžius pernešėjus bei atskleisti identifikuotų ir kitų fitoplazmų filogenetinius giminingumus. Lietuvoje jau žinomos keletas labiausiai paplitusių fitoplazmų grupių bei pogrupių, taip pat aptikta nemažai jų augalų-šeimininkų. Duomenų apie galimus šių bakterijų pernešėjus Lietuvoje beveik nėra. Pernešėjų identifikavimas ir tyrimas padės kurti veiksmingesnes strategijas bei sistemas kovai su fitoplazminėmis i

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Ivanauskas, Algirdas, and ALGIRDAS IVANAUSKAS. "Phytoplasmas and their insect vectors in Lithuania." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140620_091456-96241.

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The aim of the research was to identify the phytoplasmas detected in insects that were found on various phytoplasma-infected plants, and to reveal phytoplasma insect-vectors as well as phytogenetical relationships of identified phytoplasmas. From previous research, we already know a few mostly widespread phytoplasma groups, subgroups, and many of their host plants in Lithuania. The data on potential vectors of these bacteria are very scarce in Lithuania. The identification and research of insect vectors will help to create more effective strategies and systems to fight with phytoplasmal infe

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9

PASTOR, ELIANA. "Pattern-based algorithms for Explainable AI." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2942116.

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10

Plata, Santos Hector Andres. "Subgroup identification in classification scenario with multiple treatments." Thesis, Linköpings universitet, Statistik och maskininlärning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166064.

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The subgroup identification field which sometimes is called personalized medicine, tries to group individuals such that the effects of a treatment are the most beneficial for them. One of the methods developed for this purpose is called PSICA. Currently this method works in a setting of multiple treatments and real valued response variables. In this thesis, this methodology is extended to the degree that it can also handle ordinal response variables that can take a finite number of values. It is also compared to a competitor method which results in similar performance but with the added value

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11

Stewart, Nicholas. "Identification and characterization of meiotic drive within the Drosophila virilis subgroup." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5858.

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There is a vast diversity of karyotypes in nature, yet mechanisms that have facilitated such diversity are unclear. Alterations to an organism’s karyotype can have major negative fitness consequences in meiosis through non-disjunction and aneuploidy. Here, I investigated the role of biased segregation in female meiosis, i.e., meiotic drive, as a force that contributes to the evolution of karyotype form. The closely related species pair, Drosophila americana and Drosophila novamexicana, is an exemplar for understanding mechanisms of karyotype evolution. Since their recent divergence nearly half

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12

Tayyari, Farnoosh. "Identification of a novel candidate receptor for human respiratory syncytial virus subgroup A." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/14695.

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Introduction: Respiratory syncytial virus (RSV) is an important pathogen, especially in children, the elderly, and immunocompromised individuals. Despite RSV being discovered decades ago, there is still no good treatment or prevention for RSV disease. The cell surface receptor for RSV is not known and identification of RSV receptor(s) will provide improved opportunities for understanding the pathogenesis of the viral disease and potential for discovering novel antiviral agents. Hypothesis: RSV infects cells via attachment to cell surface receptor(s) which can be identified by unbiased interro

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13

Mistry, Dipesh. "Recursive partitioning based approaches for low back pain subgroup identification in individual patient data meta-analyses." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/64032/.

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This thesis presents two novel approaches for performing subgroup analyses or identifying subgroups in an individual patient data (IPD) meta-analyses setting. The work contained in this thesis originated from an important research priority in the area of low back pain (LBP); identifying subgroups that most (or least) benefit from treatment. Typically, a subgroup is evaluated by applying a statistical test for interaction between a baseline characteristic and treatment. A systematic review found that subgroup analyses in the area of LBP are severely underpowered and are of a rather poor quality

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14

Doubleday, Kevin. "Generation of Individualized Treatment Decision Tree Algorithm with Application to Randomized Control Trials and Electronic Medical Record Data." Thesis, The University of Arizona, 2016. http://hdl.handle.net/10150/613559.

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With new treatments and novel technology available, personalized medicine has become a key topic in the new era of healthcare. Traditional statistical methods for personalized medicine and subgroup identification primarily focus on single treatment or two arm randomized control trials (RCTs). With restricted inclusion and exclusion criteria, data from RCTs may not reflect real world treatment effectiveness. However, electronic medical records (EMR) offers an alternative venue. In this paper, we propose a general framework to identify individualized treatment rule (ITR), which connects the subg

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15

Keller, Dagmar. "Clasificación del subtipo de fibromialgia de acuerdo con la sintomatología clínica y análisis de las diferencias de personalidad, psicopatología concomitante y calidad de vida percibida." Doctoral thesis, Universitat de Girona, 2013. http://hdl.handle.net/10803/128513.

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OBJECTIVES: 1. SFM subtypes identification.2. Determining differences in personality characteristics, presence of psychopathology and the received perception of quality of life related to health (HRQOL). 3. Identifying personality characteristics associated with different subtypes of FMS. HYPOTHESIS: Patients with major indicators of physical and psychopathological symptoms and lower HRQOL will present differences in personality characteristics that allow identifying of significant differences in personality factors between subtypes. METHODOLOGY: Observational, analytical and cross-sectional s

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16

Tyler, Bruce David. "Fan communities and subgroups: Exploring individuals' supporter group experiences." 2013. https://scholarworks.umass.edu/dissertations/AAI3556296.

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The aggregate of a sport team's fans may be viewed as a consumption community that surrounds the team and its brand (Devasagayam & Buff, 2008; Hickman & Ward, 2007). Beneath this larger consumption umbrella, smaller groups of consumers may exist (Dholakia, Bagozzi, & Pearo, 2004), such as specific supporter groups for a team. Individuals thus may identify with multiple layers of the consumption group simultaneously (Brodsky & Marx, 2001; Hornsey & Hogg, 2000). Although past researchers have studied supporter groups (Giulianotti, 1996, 1999a; Parry & Malcolm, 2004) and consumption communities (

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17

Li, Xiaochen. "Subgroup Identification in Clinical Trials." Diss., 2020. http://hdl.handle.net/1805/22731.

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Indiana University-Purdue University Indianapolis (IUPUI)<br>Subgroup analyses assess the heterogeneity of treatment effects in groups of patients defined by patients’ baseline characteristics. Identifying subgroup of patients with differential treatment effect is crucial for tailored therapeutics and personalized medicine. Model-based variable selection methods are well developed and widely applied to select significant treatment-by-covariate interactions for subgroup analyses. Machine learning and data-driven based methods for subgroup identification have also been developed. In this disser

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