SLIDER: Software for LongItudinal Data Exploration with R by Hadrien Commenges, Pierre Pistre, Robin Cura

Subjects: “…longitudinal data…”
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Towards genetic improvement of social behaviours in livestock using large-scale sensor data: data simulation and genetic analysis by Zhuoshi Wang, Harmen Doekes, Piter Bijma

“…In the near future, large-scale longitudinal data on social behaviours will become available, e.g. through computer vision techniques, and appropriate genetic models will be needed to analyse such data. …”
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Diverging Educational Aspirations Among Compulsory School-Leavers in Switzerland by Ackermann Tobias, Benz Robin

“…Educational aspirations play an important role in shaping students’ educational trajectories and destinations. Drawing on longitudinal data from the TREE2 study, this paper investigates the effect of tracking on the formation and adjustment of the educational aspirations of Swiss students upon leaving compulsory school. …”
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Regional and structural factors in Swedish regional growth during the 1990s by Li Wenjuan

“…Based on the Swedish Standard Industrial Classification and individual longitudinal data, by using the shift-share analysis method, Swedish regional employment growth during the 1990s has been decomposed into two components—growth due to an endogenous regional factor and growth due to an exogenous structural factor. …”
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Training, Competition & Health by Kobel S, Niermann C

“…Looking at German research on physical activity in youth with regards to family as a possible determinant, the lack of longitudinal data, diversity of representative cohorts and consistent assessment methods make recommendations for health promoting programmes difficult. …”
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Impact of human resource slacks on firm performance: Evidence from a developing country by M.M. Fonseka, Peng Wang, Muhammad Suhaib Manzoor

“…It also examines how ownership types moderate the HR slack-performance relationship. The longitudinal data-set of 11,985 firms-year observations from 2000-2009 were used and generalized linear models (GLMs) employed for analyzing data. …”
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The Corpus of Lithuanian Children Language: Development and application for modern studies in language acquisition by Ingrida Balčiūnienė, Laura Kamandulytė-Merfeldienė

“…The Corpus was compiled using different methodological approaches, such as natural observation and semi-experiment. The longitudinal data (conversations between the target children and their caretakers) compiled according to the requirement of natural observation includes transcribed and morphologically annotated speech of two typically-developing children, one late talker, one early talker, one child from a low SES family, and a pair of twins. …”
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Genetic parameters for first lactation dairy traits in the Alpine and Saanen goat breeds using a random regression test-day model by Mathieu Arnal, Hélène Larroque, Hélène Leclerc, Vincent Ducrocq, Christèle Robert-Granié

“…Abstract Background Random regression models (RRM) are widely used to analyze longitudinal data in genetic evaluation systems because they can better account for time-course changes in environmental effects and additive genetic values of animals by fitting the test-day (TD) specific effects. …”
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N-Drop and Determiners in Native and Non-Native Spanish: More on the Role of Morphology in the Acquisition of Syntactic Knowledge by Juana M. Liceras, Lourdes Díaz, Caroline Mongeon

“… In order to investigate whether the acquisition of N-drop (null nouns) is related to the acquisition of the agreement system of Spanish determiners this paper analyzes L1 longitudinal Spanish data from two children and L2 longitudinal data from two children learning Spanish in a naturalistic setting. …”
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KiGGS Wave 2 longitudinal component – data collection design and developments in the numbers of participants in the KiGGS cohort by Michael Lange, Robert Hoffmann, Elvira Mauz, Robin Houben, Antje Gößwald, Angelika Schaffrath Rosario, Bärbel-Maria Kurth

“…In addition to regular cross-sectional studies of the current health of children and adolescents living in Germany, KiGGS also includes a longitudinal component – the KiGGS cohort. The longitudinal data, which can be linked individually throughout the various waves of the study, enables developments in health and their associated influencing factors to be analysed during the life course. …”
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The genetics of resilience and its relationships with egg production traits and antibody traits in chickens by Tom V. L. Berghof, Nicolas Bedere, Katrijn Peeters, Marieke Poppe, Jeroen Visscher, Han A. Mulder

“…Recently, resilience indicators based on longitudinal data have been suggested, but they need further evaluation to determine whether they are indeed predictive of improved resilience, such as disease resilience. …”
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Jahrgangsteams zur Kooperation mit Eltern anregen – eine Aufgabe für Fortbildungen? Evaluationsergebnisse zum Bielefelder Fortbildungskonzept zur Kooperation in inklusiven Schulen... by Sandra Grüter, Julia Gorges, Birgit Lütje-Klose, Phillip Neumann, Elke Wild

“…To evaluate the effectiveness of the training, a quasi-experimental study with a pre-post control group design was implemented. Longitudinal data is available for 55 teachers and other professionals. …”
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