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Published in Computational Economics, 2016
Recommended citation: Rahal, C., (2015) ‘A Guide to the StatFact EViews Add-in’, Computational Economics, 48 (1), pp.183-188. Code library available here.
Published in Journal of Housing Economics, 2017
Recommended citation: Rahal, C., (2017) ‘Housing markets and unconventional monetary policy’, Journal of Housing Economics, 32, pp.67-80. Code library available here.
Published in Nature Human Behaviour, 2017
Recommended citation: Tropf, F., Lee, S., Verweij, R., Stulp, G., van der Most P., de Vlaming, R,, Bakshi, A., Briley, D., Rahal, C., Hellpap, R., Iliadou, A., Esko, T., Metspalu, A., Medland, S., Martin, N., Barban, N., Snieder, H., Robinson, M., Mills, M., (2017), ‘Hidden heritability due to heterogeneity across seven populations’, Nature Human Behaviour, 1 (10).
Published in American Sociological Review, 2017
Recommended citation: ‘Reeves, A., Friedman, S., Rahal, C. and Flemmen, M. (2017). ‘The Decline and Persistence of the Old Boy: Private Schools and Elite Recruitment 1897 to 2016’, American Sociological Review, 82 (6). Winner of the European Academy of Sociology ‘Distinguished Publication’ prize. Media coverage summarized by Altmetric here.
Published in Kyklos, 2018
Recommended citation: ‘Rahal, C., (2018). ‘The Keys to Unlocking Public Payments Data’, Kyklos, 71(2).
Published in Communications Biology, 2019
Recommended citation: ‘Mills, M., and Rahal, C., (2019). ‘A scientometric review of genome-wide association studies’, Communications Biology, 2(9). Code library available here. Media coverage summarized by Altmetric here.
Published in International Journal of Population Data Science, 2019
Published:
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Published:
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Postgraduate course, University of Birmingham, 2014
I’m intending to re-write the material for this module when I give it again as a visiting lecturer…
Labs, University of Birmingham, 2015
In 2015 I rewrote the teaching materials for the lab classes which formed part of ‘G28 Econometrics with Financial Applications’ (taught using EViews). The material and accompanying programs can be found here.
Workshop, Nuffield College, University of Oxford, 2017
A set of files related to teaching a very basic introduction to nix-like systems course. The apples.genes and apple.genome file come from the Command Line Tools for Genomic Data Science course by Liliana Florea. An unpublished textbook chapter and related slides from the NCRM workshop can be found here.
Labs, Department of Sociology, University of Oxford, 2018
This short set of workshops (about 12 hours) acts as a pre-requisite for Bernie Hogans ‘Social Network Analysis’ but is becoming freely available to anyone interested in using Python for their research, and is audited by DPhils and faculty members alike. Teaching materials here.
Workshop, Department of Sociology, University of Oxford, 2019
I frequently hold guest lectures\workshops on the topic of ‘A Very Short Introduction to Machine Learning’. Slides, Notebooks, and a prediction competition all available here!
Postgraduate Module, Department of Sociology, University of Oxford, 2019
While scepticism remains regarding whether we are truly deep within the realms of a ‘Replication Crisis’, it is certainly worth considering just how many empirical social science papers with statistically important results are really just some version of publication bias and/or specification searching. There exists considerable evidence that several important research findings cannot be replicated, casting a shadow of doubt on the credence and value of social science as a body of scientific study. This module aims to introduce students to the realities of empirical research through the mediums of replication and open science, with the objective being the replication of a piece of recently published academic work (or closely related). The module handbook can be found here.
Postgraduate Module, Department of Sociology, University of Oxford, 2020
I teach Demographic Analysis to postgraduate students at the Department of Sociology, co-convened with Ridhi Kashyap. The course is primarily taught in R, and follows the standard postgraduate sequence (i.e. Preston) of Mortality, Fertility and Migration, with some special topics (Digital Demography, Covid, etc) too. The module handbook can be found here.
Postgraduate Module, Department of Sociology, University of Oxford, 2021
I teach Life Course Research to postgraduate students at the Department of Sociology, co-convened with Jenn Dowd. The course is primarily taught in R, and entails a broad introduction to Life Course Research (Classical Data and Methods, Health, Family Demography and Fertility, Transitions to Adulthood, but also with a focus on methods such as Event History Analysis and Sequene Analysis), with a specific focus on prospective (and predictive) designs, too. It also utilizes the Fragile Familes data, generously made available at the OPR. The module handbook can be found here.
Postgraduate course, Oxford Berlin Summer School, 2021
This session teaches our first adventures into LaTeX, otherwise known as a session entitled ‘A short Introduction to LaTeX: or LaTeX in 105 minutes’, originally for the 4th edition of the Oxford Berlin summer school on Open Research taking place online on 20-23 September 2021 (Oxford Berlin). It’s delivered as a combination of a more typical lecture style and a live-coding workshop, with short pauses for you to try and implement things as we go. Depending on the number of participants, we might split into groups of two and undertake ‘pair-programming’ for the exercises. The entire workshop is contained within the .tex document, and also acts as a very short reference manual/cheat-sheet. This represents a capacity building exercise; not to teach \textit{everything} about \LaTeX{}, but to empower how to become an expert typesetter in your own time. Workshop materials available here.