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56:43 Weathering Practical Excel Data Processing Weathering Practical Excel Data Processing	Weathering Practical Excel Data Processing Instructions and walkthrough of processing the Absorbance data into Si concenation and using pivot tables to summerize the data si weathering excel pivot table superamazeballs calibration sample concentration thing formula slope column numbers bit graph samples deviation stuff concentrations spreadsheet groups cell intercept 31st From ALEX Thomas 0 likes 247 plays 0 Course Code GESC08003 Licence Type Creative Commons - Attribution
42:24 'Harnessing Population-based Data to… 'Harnessing Population-based Data to Understand Mental Health Treatment Effectiveness in Children & Young People’, Dr Sharon Neufeld	'Harnessing Population-based Data to Understand Mental Health Treatment Effectiveness in Children & Young People’, Dr Sharon Neufeld There is a paucity of information regarding effectiveness of treatment-as-usual mental health services in children and young people, with uncertainties regarding which individuals improve, and… psychiatry mental health children young people treatment effect adults model distress effects studies propensity symptoms sample care bit population lot outcome outcomes adolescents factor study From Bethany Anderson 0 likes 3 plays 0 Publisher University of Edinburgh Licence Type All rights reserved The University of Edinburgh Language English Date Created November 1st, 2023 Retain Source File Yes
19:23 Data Dashboards - David Perry Data Dashboards - David Perry	Data Dashboards - David Perry Join David Perry as he highlights the advantages of having access to data insights when conducting large scale citizen science 'direct to public' research projects. Large scale, complex… conference presentation data dashboards citizen science open research eor ppi data management open data methodology open science participants questionnaire dashboard database participant projects dashboards questions scale min things automation sample process server facebook postcode week overview fatigue From Neil Coleman 0 likes 43 plays 0 Licence Type Creative Commons - Attribution Language English Date Created May 16th, 2023
17:37 Making Research FAIR (with PID Centric Workflows)… Making Research FAIR (with PID Centric Workflows) - Xiaoli Chen	Making Research FAIR (with PID Centric Workflows) - Xiaoli Chen Join Xiaoli Chen from Datacite and Vaida Plankyte from Research Space as they introduce us to PID (Persistent Identifiers) Centric Workflows. She explains how in the Implementing FAIR Workflows… conference presentation eor open research open data workflows open science data management pid metadata process outputs researchers tools grant dois space level lot sample interoperability experiment science end repositories practises 21st step things From Neil Coleman 0 likes 15 plays 0 Licence Type Creative Commons - Attribution Language English Date Created May 16th, 2023
09:47 Epi course 3.3 - Cross-sectional studies Epi course 3.3 - Cross-sectional studies	Epi course 3.3 - Cross-sectional studies epi course epidemiology study bus cross angina disease drivers sample conductors heart point studies job conductor outcome exposure population association rate response problem From Ruth McQuillan 0 likes 58 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created April 5th, 2023 Retain Source File Yes
02:30 Dr. Nikolaos Dionelis - UDRC Research Video 2023 Dr. Nikolaos Dionelis - UDRC Research Video 2023	Dr. Nikolaos Dionelis - UDRC Research Video 2023 Nikolaos is a Postdoctoral Research Associate in Machine Learning at the University of Edinburgh in the Department of Electronics and Electrical Engineering, Digital Communications Research… distribution detection samples learning models anomaly sample networks questions profuse retraining occlusion clutter problem labelled process screening ray bargains areas From Joe Burchell 0 likes 26 plays 0 Licence Type All rights reserved The University of Edinburgh
40:55 'Cognitive biases in hallucinations -… 'Cognitive biases in hallucinations - Inconsistent findings and suboptimal measurement practices', Dr David Smailes	'Cognitive biases in hallucinations - Inconsistent findings and suboptimal measurement practices', Dr David Smailes Several cognitive biases are thought to play a role in the development of hallucinations. Biases in source monitoring (where participants must determine whether stimuli were internal and/or… #psychiatry mvm lecture cognitive hallucinations source participants reliability misattributions task monitoring patients tasks experiences psychosis kind bias evidence paper studies things sample study thing From Bethany Anderson 0 likes 4 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created January 18th, 2023 Retain Source File Yes
56:33 'What has 20 years of imaging genetics… 'What has 20 years of imaging genetics taught us about the brain?', Prof David Glahn	'What has 20 years of imaging genetics taught us about the brain?', Prof David Glahn Dr. David Glahn is the Associate Chief for Research in the Department of Psychiatry at Boston Children’s Hospital and the Director of the Tommy Fuss Center for Neuropsychiatric Disease… #psychiatry mvm lecture imaging genetics sample questions paper brain question things effect gene space effects lot problem risk kinds studies level candidate genes From Bethany Anderson 0 likes 24 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created November 30th, 2022 Retain Source File Yes
43:24 Data literacy for beginners (updated 2022-2023) Data literacy for beginners (updated 2022-2023)	Data literacy for beginners (updated 2022-2023) Data Literacy for beginners is a one-hour webinar designed to introduce staff and students to the concepts first published in a popular statistics pamphlet, entitled How To Lie with Statistics, by… data skills digital skills and training sample population statistics bias chart numbers size graph chapter skills values students error sampling chat statistic axis trends market samples From Tracy Steinberg 0 likes 76 plays 0 Publisher Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language British English Date Created November 1st, 2022
33:15 AML: Model Selection - Statistical Tests AML: Model Selection - Statistical Tests	AML: Model Selection - Statistical Tests Applied Machine Learning - INFR11211 AML: Model Selection - Statistical Tests Part 2/2 aml machine learning model evaluation distribution hypothesis samples population sample difference variance things splits errors error dataset tests model student values significance test means statistics From Siddharth N 1 likes 448 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
07:39 Open science in experimental autism research: a … Open science in experimental autism research: a replication study of information transfer within and between autistic and non-autistic people, Crompton et al, 2022	Open science in experimental autism research: a replication study of information transfer within and between autistic and non-autistic people, Crompton et al, 2022 Information sharing depends on successful communication. Because autism is clinically defined by social communication deficits, autistic people may be expected to be less effective at sharing… open research eor conference poster study participants person communication diffusion chain storey half chains science autism sample replication participant method thoughts bit analysis groups point From Kerry Miller 0 likes 27 plays 0 Publisher Edinburgh Open Research Licence Type Creative Commons - Attribution Language English Date Created May 27th, 2022 Retain Source File Yes
41:20 Optimal Nonparametric Testing of Missing… Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility - Tom Berrett	Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility - Tom Berrett Structural Breaks and Shape Constraints Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility Tom Berrett (University of Warwick) 20 May 2022 icms distributions distribution problem hypothesis tests test cases patterns variables compatibility kind observation mcar incompatibility bit class power sense sample homework From Iain Cms 0 likes 40 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
33:20 Testing for Shape Restrictions with U-Processes -… Testing for Shape Restrictions with U-Processes - Kengo Kato	Testing for Shape Restrictions with U-Processes - Kengo Kato Structural Breaks and Shape Constraints Testing for Shape Restrictions with U-Processes Kengo Kato (Cornell University) 19 May 2022 icms process function bootstrap size sampling sample concave neighbourhood production indices point computation component distribution supremum sum power test concavity complexity From Iain Cms 0 likes 104 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
41:51 A Theoretically Tractable Framework for K Fold… A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee	A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee Structural Breaks and Shape Constraints A Theoretically Tractable Framework for K Fold Cross Vaidation Sabyasachi Chatterjee (University of Illinois at Urbana-Champaign) 19 May 2022 icms lambda hat sample estimator risk cross completion prediction estimators validation lasso folds tuning error framework fold inequality predictions problem term From Iain Cms 0 likes 28 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
43:52 Noisy Linear Inverse Problems Under Convex… Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions - Qiyang Han	Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions - Qiyang Han Structural Breaks and Shape Constraints Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions Qiyang Han (Rutgers University) 16 May 2022 icms risk model limit sample dimension function problem sequence signal problems regime bit size rate level tangent point squares constraint condition From Iain Cms 0 likes 118 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
19:27 RESULT_HIP Study Procedures_Data… RESULT_HIP Study Procedures_Data Collection_13May2022 with commentary.mp4	RESULT_HIP Study Procedures_Data Collection_13May2022 with commentary.mp4 A guide to study procesures and data collection for the RESULT-HIP trial. database consent study blood team trial log training sample patient patients participants capacity samples paper form sites randomization participant record From Gayle Beveridge 0 likes 191 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created May 16th, 2022

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