[Forum SIS] EXTENDED DEADLINE: JRSS- A special issue on Causal Inference from Non-Experimental Studies: Call for papers

[Bianca DeStavola]

HAVING RECEIVED MANY REQUESTS FROM AUTHORS, WE HAVE EXTENDED THE DEADLINE TO 31st OCTOBER 18


The Journal of the Royal Statistical Society (Series A) is calling for

papers in a special issue on ''Causal Inference from Non-Experimental

Studies: Challenges, Developments and Applications''



Decisions in many fields - including medicine, public health, social

science, and finance - depend critically on the appropriate evaluation

of causal effects of competing treatments, exposures and/or policies.

Formal causal inference is crucial to assess these effects, whether

the data come from experimental or observational studies, or a

combination of both. There have been numerous methodological and

applied contributions to the causal inference literature especially

over the last two decades. They have arisen from different fields,

including statistics, epidemiology, public health, econometrics, and

demography, and have impacted not only on the work carried out in

academia but also on real-world decision-making. More recently, newer

challenges to the field have emerged, in particular from novel study

designs, large and messy data sources, and complex treatment

assignment mechanisms. This special issue of the Journal of the Royal

Statistical Society, Series A, is dedicated to these newer challenges,

associated developments and applications.



As usual with Series A, the focus is on the development and/or

evaluation of innovative methodology that is directly motivated by,

and substantially increases our understanding of, real data from

non-randomised exposures and interventions in social and medical

settings. Motivating examples include studies that deal with

high-dimensional exposures and mediators, studies with

irregular/hybrid designs, and studies with complex data structures

where units are organized in hierarchies or networks (e.g. social,

geographical, physical, economic) that give rise to interference

issues. However, this list is not exclusive, and intending authors are

welcome to email their proposals to the Guest Editor, Professor

Bianca De Stavola (b.destavola at ucl.ac.uk<https://mail.disia.unifi.it/src/compose.php?send_to=b.destavola%40ucl.ac.uk>), and the Associate Editors,

Professor Fabrizia Mealli (mealli at disia.unifi.it<https://mail.disia.unifi.it/src/compose.php?send_to=mealli%40disia.unifi.it>) and Dr Alessandra

Mattei (mattei at disia.unifi.it<https://mail.disia.unifi.it/src/compose.php?send_to=mattei%40disia.unifi.it>). Please note that, in line with the

remit of Series A, contributions of a principally technical nature

will not be acceptable.



The deadline for manuscript submissions is midnight on 31st October

2018. Submissions -  which should clearly indicate JRSS-A Causal

Inference Special Issue in the cover letter - should be made in the

usual way, online at https://mc.manuscriptcentral.com/jrss, where

further guidance about the structure, length and format of manuscripts

may be found. All manuscripts will be peer reviewed in line with the

journal's standard policy. However, in order to produce the special

issue in a timely manner, authors will be asked to complete revisions

within eight weeks of receiving referee reports.





Best wishes

Alessandra Mattei, Fabrizia Mealli, Bianca De Stavola


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