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X-WR-CALDESC:Events for Dementia Researcher
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DTSTART:20260329T010000
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DTSTART;VALUE=DATE:20260622
DTEND;VALUE=DATE:20260626
DTSTAMP:20261005T112911
CREATED:20260511T103450Z
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SUMMARY:Neuroinflammation in Health & Disease
DESCRIPTION:Neuroinflammation accompanies essentially all forms of central nervous system (CNS) insults. It can vary from acute reversable molecular changes aimed at preserving or restoring health and homeostasis\, to chronic perturbations that contribute to disease progression. \nMuch remains to be learned about the multicellular and multimolecular interactions that underlie different forms of neuroinflammation in different CNS disorders\, and how these interactions might be beneficially modulated to improve outcomes. This Keystone Symposia conference on Neuroinflammation in Health and Disease will examine how inflammation in the CNS across different contexts is manifest in healthy and diseased states. \nThe program explores multiple facets of neuroimmune pathways including genetic risk factors\, evolutionary origins and the roles of specific cell types in CNS immune response. It also includes recent insights into neuroinflammation in response to viruses\, in the context of the microbiome and aspects of autoimmunity. The speakers will present data that span cellular\, broader CNS and organismal behavioral effects of neuroinflammation. This meeting is being held jointly with another Keystone Symposia conference on Neurodegeneration: From Neurocentric to System-Wide Perspectives\, which provides a focused opportunity to explore how neuroinflammation connects with neurodegenerative disease biology. Through shared keynote and joint scientific sessions\, meals and poster sessions\, participants will have an opportunity to network and share cross-disciplinary insights\, encouraging innovative collaborations towards a deeper understanding of neurodegenerative disease and neuroimmune interactions\, and the pathways that interconnect them. \nJun 22–25\, 2026 | Fairmont Chateau Whistler\, Whistler\, BC\, Canada\nScientific Organizers: Michael V. Sofroniew\, Maria de Lourdes Gamez G Tansey\, and Robyn S Klein \n\nClick Here
URL:https://www.dementiaresearcher.nihr.ac.uk/event/neuroinflammation-in-health-disease/
LOCATION:Fairmont Chateau Whistler\, Whistler\, BC\, Canada
CATEGORIES:Conference
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DTSTART;VALUE=DATE:20260622
DTEND;VALUE=DATE:20260627
DTSTAMP:20261005T112911
CREATED:20260612T144611Z
LAST-MODIFIED:20260910T203428Z
UID:10002287-1782086400-1782518399@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Introduction to Longitudinal Data Analysis
DESCRIPTION:Longitudinal data is essential in a number of research fields as it enables analysts to concurrently understand aggregate and individual level change in time\, the occurrence of events and improves our understanding of causality in the social sciences.  \nIn this course you will learn both how to clean longitudinal data as well as the main statistical models used to analyse it. The course will cover three fundamental frameworks for analysing longitudinal data: multilevel modelling\, structural equation modelling and event history analysis. \nThe course is organized as a mixture of lectures and hands on practicals using real world data. During the course there will also be opportunities to discuss also how to apply these models in your own research. \nObjectives: \n\nTo gain competence in the concepts\, designs and terms of longitudinal research;\nTo be able to apply a range of different methods for longitudinal data analysis;\nTo have a general understanding of how each method represents different kinds of longitudinal processes;\nTo be able to choose a design\, a plausible model and an appropriate method of analysis for a range of research questions.\n\nThe course consists of five sessions running from Monday 22 to Friday 26 June 2026. \nTopics covered by day: \n\n22.06.2026  – Data cleaning and visualization of longitudinal data\n23.06.2026 – Cross-lagged models (covering also an introduction to Structural Equation Modelling and auto-regressive models)\n24.06.2026 – Multilevel model of change (covering also an introduction to multilevel modelling)\n25.06.2026 –  Latent Growth Modelling\n26.06.2026  – Survival models (also known as event history analysis)\n\nTeaching will take place online (using Zoom) between 09:00 to 16:00 UK time. There will be 1 hour lunch break from 12:00 to 13:00. \nIMPORTANT: Please note that this course includes computer workshops. Before registering please check that you will be able to access the software noted below. Please bear in mind minimum system requirements to run software and administration restrictions imposed by your institution or employer with may block the installation of software. \nPrerequisites \n\nGood knowledge of regression modelling\nBasic knowledge of R or good programming experience with a different statistical software\n\nRecommended reading \n\nCernat\, A. (in press). Longitudinal Data Analysis using R. LeanPub.\nWickham\, H.\, & Grolemund\, G. (2016). R for data science: Import\, tidy\, transform\, visualize\, and model data (First edition). O’Reilly. (also available free online)\nSinger\, J.\, & Willett\, J. (2003). Applied longitudinal data analysis: modeling change and event occurrence. Oxford University Press.\nNewsom\, J. T. (2015). Longitudinal Structural Equation Modeling: A Comprehensive Introduction. Routledge.\n\nCost: \nThe fee per teaching day is: \n• £60 per day for students\n• £150 per day for staff working for academic institutions\, Research Councils and other recognised research institutions\, registered charity organisations and the public sector\n• £350 per day for all other participants \nIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. NO refunds are available after this date. \nIf it is no longer possible to run a course due to circumstances beyond its control\, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. \nNCRM shall not be liable for any costs\, losses or expenses that may be incurred as a result of its cancellation of a course\, including but not limited to any travel or accommodation costs.
URL:https://www.dementiaresearcher.nihr.ac.uk/event/introduction-to-longitudinal-data-analysis/
LOCATION:Online
CATEGORIES:Training
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DTSTART;TZID=Europe/London:20260624T200000
DTEND;TZID=Europe/London:20260624T204500
DTSTAMP:20261005T112911
CREATED:20260519T155659Z
LAST-MODIFIED:20260726T215557Z
UID:10002250-1782331200-1782333900@www.dementiaresearcher.nihr.ac.uk
SUMMARY:Catchup - Research Showcase - Seizure Risk and Dementia Care
DESCRIPTION:How often are hidden neurological events missed in dementia care. And could better seizure risk assessment improve support for older adults in long term care settings. \nThis livestream is part of the Dementia Researcher weekly Showcase series. Each week we host a 45 minute online session bringing researchers together to share their work\, methods\, and ideas. \nIn this session\, Russ Barker will present work exploring the coexistence of dementia and epileptiform activity\, an important but under explored issue in geriatric neurology and long term care. His integrative literature review brings together evidence from across disciplines to identify key seizure risk domains in dementia care. \nRuss is Founder and CEO of Seagull Health\, based in Blue Springs\, Missouri. His work aims to support better recognition of hidden neurological events in ageing populations and provide a conceptual basis for developing a standardised seizure risk scoring framework for dementia care environments. \nAttendees can expect a research focused session with time for questions and discussion. \n\nWatch the Recording
URL:https://www.dementiaresearcher.nihr.ac.uk/event/research-showcase-seizure-risk-and-dementia-care/
LOCATION:Dementia Researcher Communities App
CATEGORIES:Webinar
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