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Personal profile

Research interests

I am an ESRC funded PhD student studying on the Advanced Quantitative Methods pathway. My research interests lie on the intersection between survey methodology and applied social statistics.

The former involves understanding the sampling and recruitment process, typically in the context of large-scale household surveys. I am particularly interested in methods used to detect and correct for nonresponse bias. These include modelling recruitment outcomes such as noncontact and refusal; exploring the impact of interviewers and neighbourhoods on response in the context of clustered, longitudinal samples; analysing the fieldwork process to improve response rates; and working with linked auxiliary information such as paradata and small area statistics to generate post-survey adjustment weights.

The latter involves statistical methods for visualising, summarising and modelling social data, often with a complex hierarchical or longitudinal structure. These include techniques such as sequence analysis, event history analysis and multilevel modelling. I am also interested in approaches to analysing incomplete datasets, namely multiple imputation, data augmentation and joint modelling.

I am supervised academically by Paul Clarke (ISER) and Fiona Steele (LSE), and internally by Deborah Wilson (UoB). Contact mark.j.hanly@bristol.ac.uk


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Research Output

  • 1 Article (Academic Journal)

Maternal age and offspring developmental vulnerability at age five: A population-based cohort study of Australian children

Falster, K., Hanly, M., Banks, E., Lynch, J., Chambers, G., Brownell, M., Eades, S. & Jorm, L., 24 Apr 2018, In : PLoS Medicine. 15, 4, 20 p., e1002558.

Research output: Contribution to journalArticle (Academic Journal)

Open Access
  • 11 Citations (Scopus)
    230 Downloads (Pure)