34,301 Works

Interacting with a multiscale renal nephron model

David Nickerson, Jonna Terkildsen, Kirk L. Hamilton & Peter Hunter
Slides from my presentation at the 6th World Congress of Biomechanics, 1-6 August 2010, Singapore.

Modelling epithelial transport

David Nickerson, Kirk L. Hamilton & Peter Hunter
Slides from my presentation at ICBME 2013, 4-7 December, Town Plaza, U-Town, National University of Singapore, Singapore.

A novel method to describe and share complex mathematical models of cellular physiology

David Nickerson & Martin Lindsay Buist
Slides from my presentation at the ICBME 2008 meeting. December 2008, Singapore.

Machine Interpretable Mathematical Model Descriptions

David Nickerson & Martin Lindsay Buist
Slides from my presentation at: The 2007 Tohoku University Global COE Program Global Nano-Biomedical Engineering Education and Research Network Centre, the Department of Bioengineering, National University of Singapore

Standards and tools supporting collaborative development of the virtual physiological human

David Nickerson, Alan Garny, Poul Nielsen & Peter Hunter
Slides from my presentation at EMBC 2013. July 2013, Osaka, Japan.

CellML modularity and the Physiome Model Repository

David Nickerson, Catherine M. Lloyd & Poul Nielsen
Slides from my presentation at the Cell Behavior Ontology and Standards for Multicellular Modeling Workshop, October 15 & 16, 2010, Edinburgh, Scotland, UK.

CellML - what is it and how can I use it?

David Nickerson
Slides from an invited lecture I gave at Kyoto University, November 2006.

Machine Interpretable Mathematical Model Descriptions

David Nickerson & Martin Lindsay Buist
Slides from my presentation at: The 2007 Tohoku University Global COE Program Global Nano-Biomedical Engineering Education and Research Network Centre, the Department of Bioengineering, National University of Singapore

CellML and the IUPS Physiome Project

David Nickerson
Slides from an invited lecture I gave at Osaka University, November 2006.

CellML modularity and the Physiome Model Repository

David Nickerson, Catherine M. Lloyd & Poul Nielsen
Slides from my presentation at the Cell Behavior Ontology and Standards for Multicellular Modeling Workshop, October 15 & 16, 2010, Edinburgh, Scotland, UK.

Introduction to survey research: guidelines and common practices. ResBaz Auckland 2019

Mohamed Alansari
Presented at ResBaz Auckland 2019, 10 July, University of Auckland.
In this workshop, Mohamed introduced some of the fundamental ideas and guidelines to consider when undertaking survey research. This workshop was aimed at students considering large-scale surveys, and coverered general concepts, quality measurement checks, and practices in this field.
Dr Mohamed Alansari, Research Fellow, Faculty of Education and Social Work.

Make Friends with Other Disciplines: Building novel collaborations to drive novel research

Tamsin Robb & Bianca Haux
Presentation was given as a Key story at ResBaz Auckland 2019, 11th July, at the University of Auckland.Abstract
Come and hear how to escape from cookie cutter research, through our tale of novel collaboration bringing together an unlikely team of architects, medical doctors, data scientists and visualisation specialists working to change the way we study cancer. Spoiler alert: This team worked to bring together complex cancer data, spanning time and space, in Augmented Reality to...

A tool for multiscale modelling of the nephron

David Nickerson, Jonna Terkildsen, Kirk L. Hamilton & Peter Hunter
Slides from my presentation at the VPH Conference 2010, 30 Sep - 1 Oct, 2010, Brussels, Belgium.

Standards and tools supporting collaborative development of the virtual physiological human

David Nickerson, Alan Garny, Poul Nielsen & Peter Hunter
Slides from my presentation at EMBC 2013. July 2013, Osaka, Japan.

Make Friends with Other Disciplines: Building novel collaborations to drive novel research

Tamsin Robb & Bianca Haux
Presentation was given as a Key story at ResBaz Auckland 2019, 11th July, at the University of Auckland.Abstract
Come and hear how to escape from cookie cutter research, through our tale of novel collaboration bringing together an unlikely team of architects, medical doctors, data scientists and visualisation specialists working to change the way we study cancer. Spoiler alert: This team worked to bring together complex cancer data, spanning time and space, in Augmented Reality to...

#5 Determining the number of factors in EFA

Gavin Brown
This lecture was presented at the 6th psychometric summer school held in the Higher School of Economics, Moscow, in August 2019. The lecture was presented by Prof. dr. Gavin Brown, The University of Auckland. The lecture describes different ways to ascertain the number of factors in a data matrix and points to using the difference in x2 and AIC as ways to identify a model that fits the data better.

#1 Factor Analysis Introduction

Gavin Brown
This lecture is from a course I taught at the Higher School of Economics 6th Psychometric Summer School in August 2019. https://ioe.hse.ru/en/announcements/248134963.htmlThe course introduces students to principles and practices behind simplifying data into its component dimensions.
This lecture addresses conceptual issues underlying factor analysis.

Products, Processes, Psychology, & Technology: Quo Vadis Educational Assessment?

Gavin Brown
These are the presentation slides for the keynote speech i gave at the EARLI 2019 biennial conference, Aachen Germany.

A novel method to describe and share complex mathematical models of cellular physiology

David Nickerson & Martin Lindsay Buist
Slides from my presentation at the ICBME 2008 meeting. December 2008, Singapore.

A Course in Factor Analysis

Gavin Brown
These lectures form a course I taught at the Higher School of Economics 6th Psychometric Summer School in August 2019. https://ioe.hse.ru/en/announcements/248134963.htmlThe course introduces students to principles and practices behind simplifying data into its component dimensions. This assumes that data contain latent factors and that multiple indicators are used to operationalize those various dimensions. The models rely on stable simultaneous estimation of multiple parameters (incl. variance and covariance matrices of all items, error terms, and relationship...

#11 Latent curve analysis

Gavin Brown
This lecture was presented at the 6th psychometric summer school at the Moscow Higher School of Economics in August 2019. This talk describes and illustrates how latent curve analysis can be used to describe change over time. a data file and syntax file is provided. The files are taken from a repeated measures diary study in which students indicated their emotions 9 times either side of a mid-term test. The emotions are taken from Pekrun's...

#8 Troubleshooting Inadmissible Solutions

Gavin Brown
This lecture was presented at the 6th psychometric summer school held at the Moscow Higher School of Economics in August 2019.The lecture describes the kinds of problems in CFA that lead to inadmissible solutions and then provides multiple approaches that can overcome this result. Solutions include fixing negative error variances to a small positive value, deleting highly correlated factors, subordinating one of a pair of highly correlated factors, using MI and EPC values to remove...

Products, Processes, Psychology, & Technology: Quo Vadis Educational Assessment?

Gavin Brown
These are the presentation slides for the keynote speech i gave at the EARLI 2019 biennial conference, Aachen Germany.

#4 Exploratory Factor Analysis

Gavin Brown
This presentation was given at the 6th psychometric summer school held in Moscow at the Higher School of Economics in August 2019. The presentation is by Prof. dr. Gavin Brown of the University of Auckland.

Video abstract Keynote speech EARLI 2019

Gavin Brown
This is an introductory video for my 2019 biennial conference of EARLI keynote address.

Registration Year

  • 2019
    34,301

Resource Types

  • Audiovisual
    34,301

Affiliations

  • University of Iowa
    3
  • Oxford Brookes University
    3
  • National Council for Scientific Research
    1
  • University of Wisconsin–Madison
    1
  • Institute of Environmental Science and Research
    1