Ioannis Kosmidis

Accessibility of HTML pages from R Markdown

Wed, 14 Oct 2020 00:00:00 +0000

Accessibility

Over the years, I faced situations where I needed to make content (lecture notes, manuscripts, consultancy reports, etc.) as accessible as possible to effectively communicate with colleagues, clients, and students with particular accessibility requirements.

All those “accessibility encounters” of mine left me with a pile of unstructured notes and advice to my self to which I often refer. Well, I decided to blog about parts of it in case anyone else finds it useful.

brquasi: Improved quasi-likelihood estimation

Wed, 10 Jun 2020 00:00:00 +0000

On 19 June 2020, I will be giving a talk at the eRum2020 conference titled “brquasi: Improved quasi-likelihood estimation”. The talk is about the brquasi R package, which provides a glm method for improving bias in quasi likelihood estimation.

That package is a spin-off of theoretical work with Nicola Lunardon on methods for reduced-bias M-estimation in general that require neither re-sampling (like the bootstrap does) nor full knowledge of the underlying distribution of the data (like other higher-order asymptotic methods do). The technical details behind reduced-bias M-estimation can be found at

detectseparation R package is on CRAN

Thu, 26 Mar 2020 00:00:00 +0000

detectseparation provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses.

Pre-fit methods

The pre-fit methods apply on binomial-response generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. They solve the linear programming problems for the detection of separation developed in Konis (2007), using ROI or lpSolveAPI.

For example, the code chunk below checks for data separation for the logistic regression model for the endometrial data set that has been considered in Heinze and Schemper (2002)

Making sense of CRAN: Package and collaboration networks

Sun, 07 Jul 2019 00:00:00 +0000

On 12 July 2019, I will be giving a talk at the useR! 2019 conference titled “Making sense of CRAN: Package and collaboration networks”. The talk is about what my cranly R package can do and how it can help users and developers understand CRAN better and the position of their (intended) packages within it.

Update (12 July 2019)

The slides are available here

A workflow that most probably isn’t yours

Tue, 18 Jun 2019 00:00:00 +0000

In early 2019, I was invited to give a talk at the Young Researcher’s Meetings of the Department of Statistics at University of Warwick (the place I work). The Young Researchers’ meeting is a weekly seminar for postgraduate students and postdocs to discuss research and exchange ideas.

My immediate thought was to talk about one of my current and exciting research projects. Of course, I know from experience that the talks I have given on research projects I am excited about are not necessarily equally exciting for the audience. I also knew that I would be speaking to a group of brilliant and promising young researchers in Data Science (we take pride for our high standards for PhD admissions and for attracting high-quality PostDocs). That is an audience of individuals working on stuff that are most probably more exciting and to more people than mine, and that are more likely to impact Data Science in a more fundamental way than my current research projects (note: this is a sign of a healthy PhD programme).

Location-adjusted Wald statistics for scalar parameters appears in CSDA

Tue, 16 Apr 2019 00:00:00 +0000

Mean and median bias reduction in generalized linear models appears in Statistics and Computing (joint work with Kenne Pagui E C, and Sartori N) appeared online in Statistics and Computing.

trackeRapp: interface & workflow for running, cycling and swimming data

Fri, 12 Apr 2019 00:00:00 +0000

🏃‍♀️🚴‍♂️🏊‍♀️

The first version of our trackeRapp R package is out!

trackeRapp provides the first fully interactive data analysis workflow for your runs, rides and swims! It is completely open source and written in R. Its backend is based on the trackeR R package and the frontend has been developed using the shiny R package.

To launch the trackeRapp interface locally, launch R and then

install.packages("trackeRapp")
trackeRapp::trackeRapp()

Then, hit “Load” and “Upload sample data set” to see what {trackeRapp} can do!

Mean and median bias reduction in generalized linear models appears in Statistics and Computing

Mon, 04 Mar 2019 00:00:00 +0000

Mean and median bias reduction in generalized linear models appears in Statistics and Computing (joint work with Kenne Pagui E C, and Sartori N) appeared online in Statistics and Computing.

cranly: Package and collaboration networks in CRAN

Sat, 03 Nov 2018 00:00:00 +0000

On 5 November 2018, I will be giving a talk at the R user group Oxford about “Package and collaboration networks in CRAN” using my cranly R package.

Update (06 Nov 2018)

The slides and the code from my talk are here and here.

trackeR v1.1 is on CRAN

Mon, 24 Sep 2018 00:00:00 +0000

The trackeR R package v1.1 is on CRAN. Version 1.1 of the package introduces full support for multi-sport workouts, numerous new visualisations, vast under-the-hood enhancements, bug fixes and more.

See NEWS for complete lists of new functionality, enhancements and bug fixes.

The package vignette provides a quick tour on its functionality. More detailed descriptions of the package and its methods, and real-data demonstrations of the package functionality can be found here, which is an updated version of

An R recursion to compute Bartlett relations

Sun, 09 Sep 2018 00:00:00 +0000

It is one of those times that I am really excited and somewhat obsessed with the current research project I am working on. It is an old idea that after many years going around my head, it seems to be coming close to fruition. This is not the reason I am writing though.

Part of that research project involves heavy usage of the Bartlett relations (or Bartlett identities). The Bartlett relations (see Bartlett 1953, sec. 2) are at the core of much of statistical theory and practice. They explain the way that the null expectations of products of log-likelihood derivatives are linked to each other.

Modelling outcomes of soccer matches appears in Machine Learning

Wed, 01 Aug 2018 00:00:00 +0000

Modelling outcomes of soccer matches (joint work with Tsokos A, Narayanan S, Baio G, Cucuringu M, Whitaker G and Király F J) appeared in Machine learning.

Median bias reduction in random-effects meta-analysis and meta-regression appears in Statistical Methods for Medical Research

Wed, 02 May 2018 00:00:00 +0000

Median bias reduction in random-effects meta-analysis and meta-regression (joint work with Kyriakou S, and Sartori N) appeared online in Statistical Methods in Medical Research.

Turing Data Science Masterclass: 'Scalable regression: old tricks, new era'

Tue, 01 May 2018 00:00:00 +0000

On 25th May 2018, I will be giving a Turing Data Science Masterclass titled “Scalable regression: old tricks, new era”. Information and registration details can be found here.

Warwick Impact Fund Award

Fri, 27 Apr 2018 00:00:00 +0000

I received a Warwick Impact Fund Award to further the impact of my trackeR R package through an publicly accessible, open-source interface.

My cranly R package is on CRAN

Wed, 28 Mar 2018 00:00:00 +0000

cranly provides comprehensive methods for cleaning up and organising the information in the CRAN package database and for building package directives networks and collaboration networks. See also the package vignettes and the cranly GitHub page for more details.

Take a look at my Software page for the cranly directives network for my R packages and for how to make your own!

My logo is a bivariate density

Sat, 03 Mar 2018 00:00:00 +0000

My logo in GitHub (see here) is the contours of the density function of a mixture of bivariate normal distributions (see Figure 1). The idea came to me when I was working on the paper

Kosmidis I and Karlis D (2016). Model-based clustering using copulas with applications.
Statistics and Computing, 26, 1079–1099
DOI ArXiV

In that paper, amongst several other things, we introduce the use of rotations of the components of mixtures of copulas to define extremely flexible mixture models. These models are fitted using the Expectation/Conditional Maximization (ECM) algorithm of Meng and Rubin (1993).

Associate Editor in Biometrika

Tue, 09 Jan 2018 00:00:00 +0000

I have joined the Editorial Board of Biometrika, serving as an Associated Editor.

trackeR paper appears in JSS

Tue, 12 Dec 2017 00:00:00 +0000

trackeR: Infrastructure for running and cycling data from GPS-enabled tracking devices in R (joint work with Hannah Frick) appeared online in the Journal of Statistical Software.

Deterministic approximation methods and pseudo-likelihoods at BayesComp 2018

Sun, 01 Oct 2017 00:00:00 +0000

I am organising the session “Deterministic approximation methods and pseudo-likelihoods” at BayesComp 2018 (26th - 28th March 2018, Barcelona, Spain). The session will consist of talks from Nancy Reid (Univeristy of Toronto, Canada), Helen Ogden (University of Southampton, UK) and Erlis Ruli (University of Padova, Italy).

Speaking at the AUEB Sports Analytics Workshop

Wed, 16 Aug 2017 00:00:00 +0000

I have been invited to present at the 2nd AUEB Sports Analytics Workshop in Athens, Greece.

GSE Graduate course: 'Generalized linear models with massive data'

Sat, 15 Jul 2017 00:00:00 +0000

On 18 and 19 October 2017, I will be giving a course on statistical learning of generalized linear models with massive amounts of data at Barcelona GSE Data Science.

Improved estmation with ordinal data at CEN ISBS 2017 Joint Conference

Fri, 02 Jun 2017 00:00:00 +0000

I have been invited to present my work on Improved estimation in cumulative link models at the CEN ISBS 2017 Joint Conference in Vienna, Austria. The talk is on 31 August 2017, 09:30 - 10:00.

Update (31 August 2017): The slides for the talk are available here.

My brglm2 R package is on CRAN

Thu, 25 May 2017 00:00:00 +0000

brglm2 provides various methods for mean and median bias reduction in the estimation of generalized linear models, along with pre-fit and post-fit methods for the detection of separation and of infinite maximum likelihood estimates in binomial response generalized linear models. See the package vignettes and the brglm2 GitHub page for details.

My enrichwith R package is on CRAN

Thu, 18 May 2017 00:00:00 +0000

enrichwith provides the “enrich” method (verb) to enrich list-like R objects with new, relevant components. The current version can enrich objects of class ‘family’, ‘link-glm’, ‘lm’ and ‘glm’. The package also provides the ‘enriched_glm’ function that results in objects that carry various useful methods for generalized linear models (simulate, observed and expected information matrix, and model densities, probabilities, and quantiles at arbitrary parameter values). See the package vignettes and the enrichwith GitHub page for more details.

Meta-regression paper appears in Biometrika

Tue, 28 Mar 2017 00:00:00 +0000

Improving the accuracy of likelihood-based inference in meta-analysis and meta-regression (joint work with Annamaria Guolo and Cristiano Varin) appeared online in Biometrika.

GLMs with massive data in Barcelona and at Innsbruck

Sat, 12 Nov 2016 00:00:00 +0000

I will be giving a course on statistical learning of generalized linear models with massive amounts of data at the Barcelona GSE Data Science (November 2016) and at the Faculty of Economics and Statistics, University of Innsbruck (January 2017).

Inaugural Turing Fellow

Wed, 05 Oct 2016 00:00:00 +0000

I have been selected to be one of the inaugural Turing Fellows at the newly founded Alan Turing Institute.

3rd UCL Workshop on the theory of big data

Tue, 06 Sep 2016 00:00:00 +0000

I am co-organising the 3rd UCL Workshop on the Theory of Big Data (26 - 28 June 2017, London, UK).

Bias in Parametric Estimation in Top 10 of WIREs Computational Statistics

Sun, 22 May 2016 00:00:00 +0000

My article Bias in parametric estimation: reduction and useful side-effects features in top ten most accessed articles of WIREs Computational Statistics in 2015.

Turing scoping workshop: Data Science for data-rich sports

Fri, 11 Sep 2015 00:00:00 +0000

The Alan Turing Institute funded the scoping workshop Data Science for data-rich sports, which I co-proposed (together with David Firth and Anjali Mazumder at Warwick, Richard Samworth at Cambridge, and Kostas Zygalakis at Edinburgh). The workshop will take place on 2 and 3 November 2015. Details can be found here and here.

Model-based clustering using copulas is in Statistics and Computing

Wed, 28 Jan 2015 00:00:00 +0000

Model-based clustering using copulas with applications appeared online in Statistics and Computing.

GLMs at the 2nd R Spring Court @ AUEB

Sat, 03 Jan 2015 00:00:00 +0000

On March 2015, I will be giving a course at the 2nd R Spring Course @ AUEB at Athens, Greece.

2nd UCL Workshop on the theory of big data

Mon, 06 Oct 2014 00:00:00 +0000

I am co-organising the 2nd UCL Workshop on the Theory of Big Data, which will take place in January 2016 in London, UK.

Research contract with English Institute of Sport

Sun, 05 Oct 2014 00:00:00 +0000

I will be leading a collaborative project with English Institute of Sport on developing statistical methods for sport performance data. The collaboration includes two year’s funding for the appointment of a Research Associate in Statistics. News item here.

MAPS Faculty Teaching Award

Fri, 29 Aug 2014 00:00:00 +0000

I was awarded the MAPS Faculty Teaching Award in the academic staff category. News items here and here.

Bias in Parametric Estimation paper appears in WIREs Computational Statistics

Thu, 10 Apr 2014 00:00:00 +0000

Bias in parametric estimation: reduction and useful side-effects appeared in WIRE Computational Statistics.

GLMs at the 1st R Summaer School @ AUEB

Fri, 07 Mar 2014 00:00:00 +0000

On 23-27 June 2015, I will be giving a course on generalized linear models at the 1st R Summer School @ AUEB in Athens, Greece.

Improved estimation in cumulative link models in RSSB

Thu, 27 Feb 2014 00:00:00 +0000

Improved estimation in cumulative link models appeared in the Journal of the Royal Statistical Society: Series B.

Handling nuisance parameters at ERCIM 2014

Wed, 12 Feb 2014 00:00:00 +0000

I am organising the session “Handling nuisance parameters: Advances towards optimal inference in statistics and econometrics” at ERCIM 2014 (6th - 8th December 2014, Pisa, Italy).

1st UCL Workshop on the theory of big data

Mon, 06 Jan 2014 00:00:00 +0000

I am co-organising the 1st UCL Workshop on the Theory of Big Data (7th - 9th January 2015, London, UK).

Activities

Mon, 01 Jan 0001 00:00:00 +0000

Leadership and organization of scientific events

Greek Stochastics \(\pi\)’: Scalable inference

Activity	Workshop
Role	Co-organizer
Where	Zakynthos, Greece
When	28-31 July 2025
Links	Greek Stochastics \(\pi\)’

Greek Stochastics \(\omicron\)’: Simulation-based inference

Activity	Workshop
Role	Co-organizer
Where	Folegandros, Greece
When	26-29 August 2025
Links	Greek Stochastics \(\omicron\)’

Leadership team of Digital, Data Science and AI Research Spotlight, University of Warwick

Activity	Leadership and direction of the Digital, Data Science and AI Research Spotlight
Role	Leadership team member
Where	Universiry of Warwick, UK
When	Sep 2024 - present

Greek Stochastics \(\xi\)’: Statistics in Health

Activity	Workshop
Role	Co-organizer
Where	Folegandros, Greece
When	16-19 July 2024
Links	Greek Stochastics \(\xi\)’

Turing Liason (academic), University of Warwick

Activity	Leadership and direction on the relationship between Universiry of Warwick and The Alan Turing Institute
Role	Turing Liaison (academic)
Where	Universiry of Warwick, UK
When	Apr 2023 - Sep 2023

Greek Stochastics \(\nu\)’: Contemporary Bayesian inference

Activity	Workshop
Role	Co-organizer
Where	Naxos, Greece
When	7-10 July 2023
Links	Greek Stochastics \(\mu\)’

Turing Univeristy Lead, University of Warwick

Activity	Leadership and direction on the relationship between Universiry of Warwick and The Alan Turing Institute
Role	Turing University Lead
Where	Universiry of Warwick and The Alan Turing Institute, UK
When	Jan 2022 - Mar 2023

Theory & Methods Challenge Fortnights in Data Science and Artificial Intelligence

Activity	Series of scientific events
Role	Founder and Director
Where	The Alan Turing Institute, UK
When	June 2019 - Oct 2023
Links	TMCF webpage

Greek Stochastics \(\mu\)’: Causal learning

Activity	Workshop
Role	Co-organizer
Where	Corfu, Greece
When	23-26 August 2022
Links	Greek Stochastics \(\mu\)’

Greek Stochastics \(\lambda\)’: Stochastic Processes and Computation

Activity	Workshop
Role	Co-organizer
Where	Corfu, Greece
When	27-29 August 2019
Links	Greek Stochastics \(\lambda\)’

Greek Stochastics \(\kappa\)’: Statistical Learning

Activity	Workshop
Role	Co-organizer
Where	Athens, Greece
When	19-22 December 2018
Links	Greek Stochastics \(\kappa\)’

Deterministic approximation methods and pseudo-likelihoods

Activity	BayesComp 2018 invited session
Role	Session organizer
Where	Barcelona, Spain
When	27 March 2018
Links	BayesComp 2018

Greek Stochastics \(\iota\)’: Model determination

Activity	Workshop
Role	Co-organizer
Where	Milos, Greece
When	14-17 July 2017
Links	Greek Stochastics \(\iota\)’

Statistics in Sports and Health 2016 meet-up series

Activity	Statistics in Sport and Health group meet-up
Role	Co-organizer
Where	London, UK
When	November and December 2016

3rd UCL Workshop on the Theory of Big Data

Activity	Workshop
Role	Co-organizer
Where	London, UK
When	26-28 June 2017
Links	Theory of Big Data workshop

Greek Stochastics \(\theta\)’: Big Data and Models

Activity	Workshop
Role	Co-organizer
Where	Tinos, Greece
When	10-13 July 2016
Links	Greek Stochastics \(\theta\)’

2nd UCL Workshop on the Theory of Big Data

Activity	Workshop
Role	Co-organizer
Where	London, UK
When	6-8 January 2016
Links	Theory of Big Data workshop

Data Science for Data-rich Sports

Activity	The Alan Turing Institute Scoping Workshop
Role	Lead organizer
Where	London, UK
When	2-3 November 2015
Links	Data Science for Data-rich Sports

1st UCL Workshop on the Theory of Big Data

Activity	Workshop
Role	Co-organizer
Where	London, UK
When	7-9 January 2015
Links	Theory of Big Data workshop

Handling nuisance parameters: Advances towards optimal inference in Statistics and Econometrics

Activity	ERCIM 2014 invited session
Role	Session organizer
Where	Pisa, Italy
When	6 December 2014
Links	ERCIM 2014

Imperial-UCL Joint Statistics Symposium

Activity	Workshop
Role	Co-organizer
Where	Imperial College London, London, UK
When	10 September 2012
Links	Imperial-UCL Joint Statistics Symposium

useR! 2011 conference

Activity	Conference
Role	Co-organizer
Where	University of Warwick, Coventry, UK
When	16-18 August 2011
Links	useR! 2011 Conference

Workshop on Composite Likelihood Methods

Activity	Workshop
Role	Co-organizer
Where	University of Warwick, Coventry, UK
When	15-17 April 2008

Study groups

High-Dimensional Statistics book club (HDStats book club)

Activity	Reading group
Role	Co-organizer
Where	University of Warwick, Coventry, UK
When	2nd term of 2020-2021
Links	the core study material for 2020-2021 is the book High-Dimensional Statistics: A Non-Asymptotic Viewpoint by Wainwright M J

Reading group on Statistical Learning with Sparsity

Activity	Reading group
Role	Co-organizer
Where	UCL, London, UK
When	2nd term of 2015-2016
Links	resources here \| the core study material is the book Statistical Learning with Sparsity: The Lasso and Generalisations by Hastie T, Tibshirani R and Wainwright M J

CSML book club on Asymptotic Statistics

Activity	Reading group
Role	Co-organizer
Where	UCL, London, UK
When	2nd term of 2011-2012
Links	resources here \| the core study material is the book Asymptotic Statistics by van der Vaart A W

Reading group on Foundations of Statistics

Activity	Reading group
Role	Co-organizer
Where	UCL, London, UK
When	1st term of 2010-2011
Links	the core study material is the book The foundations of Statistics by Savage L J

Contact

Mon, 01 Jan 0001 00:00:00 +0000

Contact details

Email

Voice

+44 (0) 24 7652 4402

Office hours

I will be available to chat virtually in Microsoft Teams during all my office hours. If you want to chat with me, then, login in Microsoft Teams with your Warwick credentials and initiate a chat with me in any of the following slots.

Research

Mon, 01 Jan 0001 00:00:00 +0000

Interests

My core research interests are in the theory and methodology of statistical learning and inference, and, in particular, in penalized and pseudo-likelihood theory and methods, statistical computing and algorithms for regression problems and methods for clustering.

I also engage in interdisciplinary applied work of the kind that involves a real synthesis of approaches and has the potential to generate new advances in statistical learning and inference with broader impact. The applied work I am/have been involved in is in: sports science (modelling of high-frequency in-game events in team sports, and uncovering the links between human behaviour, health, fitness and overall well-being); finance (modelling the dynamics of financial indicators with structural dependencies); earthquake engineering (assessment of the vulnerability of the built environment from post-hazard survey data); neuroimaging (regression methods for brain lesions from MRI data and the summarization and visualization of effects); and genetics (infering changes in genomic network structures).

Service

Mon, 01 Jan 0001 00:00:00 +0000

Editorial service

Co-Editor (screening) for Biometrika

2026-present

Associate Editor for Journal of Statistical Software

2011-present

Associate Editor for Biometrika

2018-2023

Associate Editor for Statistics and Computing

2013-2019

Membership of professional societies and committees

Committee Member for Royal Statistical Society’s Research Section

2021-2026

Committee Member for Royal Statistical Society’s Statistics in Sport Section

2016-2021

Fellow of Royal Statistical Society

2007-present

Software

Mon, 01 Jan 0001 00:00:00 +0000

Software

library("fortunes")
fortune("statistical thinking")
## 
## It is all too easy for statistical thinking to be swamped by programming tasks.
##    -- Brian D. Ripley
##       DSC 2001, Wien (March 2001)
fortune("cosmic radiation")
## 
## You say yourself it wasn't reproducible. So it could have been anything that
## "crashed" your R, cosmic radiation, a bolt of lightning reversing a bit in your
## computer memory, ... :-)
##    -- Martin Maechler (replying to a bug report)
##       R-devel (July 2005)

A particular focus of my work is devising efficient, in terms of computational complexity and implementation, algorithms and tools for applying the methods I develop to prominent data-analytic scenarios. I also engage in designing and implementing principled data analysis pipelines for application domains (e.g. sports).

Supervision

Mon, 01 Jan 0001 00:00:00 +0000

Prospective PhD students and PostDoc researchers

I am actively looking for PhD students and PostDoc researchers with strong mathematical, statistical or computational backgrounds to join my group. Feel free to contact me directly if you are interested in doing a PhD with me as your supervisor or if you are interested in doing post-doctoral work with me. Please include a CV, a brief research statement, and an outline of the reasons you want to work with me.

Talks and Seminars

Mon, 01 Jan 0001 00:00:00 +0000

Upcoming and past talks

The above map is generated using my semnar R package. Try to interact with it for more details on my seminars and talks and associated materials. Talks on virtual seminar series are marked somewhere in Antarctica, which is somewhere I will, most probably, never go for a face to face seminar.

Teaching

Mon, 01 Jan 0001 00:00:00 +0000

Teaching activity

APTS: Statistical Modelling

Where	University of Nottingham, UK \| Durham University, UK
When	15-19 April 2024 \| 22-25 April 2025 \| 13-17 April 2026
Level	PhD
Links	Preliminary Material \| Notes \| Slides: Model selection \| Slides: Beyond GLMs \| Slides: Nonlinear models \| Slides: Latent variables \| Assessment

On aspects of statistical modelling

Where	Athens University of Economics and Business
When	9-12 April 2025
Level	MSc

Graduate topics in statistics: Model selection in regression

Where	University of Warwick, UK
When	2nd term of 2024-2025
Level	PhD
Type	University of Warwick module ST925
Links	University of Warwick Moodle pages (restricted access)

Regression modelling with large data sets

Where	University of Padova, Italy \| Barcelona GSE Data Science, Spain \| University of Innsbruck, Austria
When	17-18 September 2020 (Padova) \| 9-10 May 2018 (Padova) \| 18-19 October 2017 (GSE) \| 30 January - 1 February 2017 (Innsbruck) \| 27-28 October 2016 (GSE) \| 12-13 November 2015 (GSE)
Level	Graduate and PhD

Scalable regression: old tricks, new era

Where	The Alan Turing Institute, UK
When	25 May 2018
Level	PhD
Type	Turing Data Science Masterclass
Links	Information and registration here

Topics in statistics: Generalized linear models with large data sets

Where	University of Warwick, UK
When	2nd term of 2017-2018 \| 2nd term of 2018-2019
Level	Undergraduate
Type	University of Warwick module ST329
Links	University of Warwick pages (restricted access)

Linear and generalized linear models

Where	R Summer School @ AUEB, Athens University of Economics and Business, Greece
When	27-30 March 2015 \| 23-27 June 2014
Level	Graduate
Type	Summer school

Linear models and the analysis of variance

Where	UCL, UK
When	1st term of 2010-2011 \| 1st term of 2011-2012 \| 1st term of 2012-2013 \| 1st term of 2013-2014 \| 1st term of 2014-2015 \| 1st term of 2015-2016
Level	Undergraduate
Type	UCL module STAT2002/STAT7101
Links	UCL Moodle (restricted access)

Introduction to practical Statistics

Where	UCL, UK
When	2nd term of 2010-2011
Level	Undergraduate
Type	UCL module STAT1006
Links	UCL Moodle (restricted access)

Further modelling with applications in health research: Proportional odds models

Where	UCL, UK
When	1st term of 2013-2014 \| 1st term of 2014-2015
Level	Undergraduate and Graduate
Type	UCL module STATG021/STATM021
Links	UCL Moodle (restricted access)

Foundation course: Introduction to significance tests

Where	UCL, UK
When	1st term of 2011-2012 \| 1st term of 2012-2013 \| 1st term of 2013-2014 \| 1st term of 2015-2016 \| 1st term of 2016-2017
Level	Graduate
Type	UCL module STATG000
Links	UCL Moodle (restricted access)

Advanced topics in statistics: Asymptotic statistics

Where	University of Warwick, UK
When	1st term of 2009-2010
Level	Undergraduate and Graduate
Type	University of Warwick module ST414
Links	Module materials