Jennifer Wilcock

BEng Nottingham, MSc(Eng) Leeds, BA(Hons) MSc Auckland

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Doctoral Candidate - Doctor of Philosophy

Biography

Jennifer Wilcock has a varied professional background having worked in civil engineering, in public policy analysis in the fields of transport planning and engineering, and in both consultancy and local government environments in New Zealand and the UK.

After leaving university Jenny worked in the UK as a civil engineer, undertaking both office-based design work and the on-site supervision of highway construction projects. She later specialised in the field of transportation planning with a focus on transport modeling work, mainly building network optimisation models and modal choice models for forecasting public transport use, and with quite a bit of time spent designing, managing, and analysing transport related surveys. After immigrating to New Zealand in 1995 she worked in local government as a transport modeller, and studied at the University of Auckland for a BA and BA(hons) in political studies, focussing on the study of public policy and the policy process. After then working in academic libraries for several years at both the University of Auckland and at AUT, more recently Jenny returned to university to complete an MSc and, currently, a PhD in statistics.

During her PhD Jenny has been vice-president of the Post-Graduate Students Association (PGSA), and has served as a member of the Board of Graduate Studies (a committee reporting to Senate, with responsibility for developing policy relating to and the administration of doctoral degrees at the University of Auckland).

She has lectured Stats 210: Statistical Theory in summer school, and has extensive experience of tutoring in the Department of Statistics, assisting students at all levels from first year through to post-graduate study.

Qualifications:

MSc in Statistics (University of Auckland)

BA(hons) in Political Studies (University of Auckland)

MSc(Eng) in Transport Planning and Engineering (University of Leeds)

BEng in Civil Engineering (University of Nottingham)

Research | Current

Jenny's current research involves developing a proof of the semiparametric efficiency of the profile likelihood estimator for generalised population-based case-control studies. This proof corrects earlier published proofs of the efficiency of this estimator, establishes the efficiency using a simpler approach than earlier proofs, and provides a number of detailed derivations that are previously unpublished. Her PhD is supervised by Alan Lee.

Funding

Jenny has received financial support for her PhD research work through doctoral scholarships from the Marsden Fund and from the University of Auckland. Additional funding for travel and attendance at conferences and workshops has been received from a Claude McCarthy Fellowship awarded by NZVCC (to attend the RSS conference in Edinburgh), a scholarship from the University of Milan-Bicocca (to attend a workshop in Italy), an award from the International Biometric Society (to attend their regional conference in Australia), and a travel award from the New Zealand Statistical Association (to attend their conference in Christchurch).

Conference presentations

Jennifer Wilcock (2013). A co-citation network for Biometrics. Poster presented at the International Biometric Society Australasian Region Conference, Mandurah, WA, Australia, and the New Zealand Statistical Association conference, Hamilton, NZ.

Alan Lee & Jennifer Wilcock (2011). Efficiency of the profile likelihood estimator for case-control studies under general misspecification. Contributed talk presented at the Joint Statistical Meetings, Miami, USA.

Jennifer Wilcock & Alan Lee (2010). The Scott-Wild estimate is efficient: a projection approach. Poster presented at the Australian Statistical Conference, Perth, Australia.

Alan Lee & Jennifer Wilcock (2010). The Scott-Wild estimate is efficient: a projection approach. Contributed talk presented at the International Workshop on Matrices and Statistics, Shanghai, China.

Jennifer Wilcock & Alan Lee (2009). Efficient design of two-stage and frequency matched case-control studies. Poster presented at the International Conference of the Royal Statistical Society, Edinburgh, UK.

Jennifer Wilcock & Alan Lee (2008). Designing two-stage case-control studies under cost constraints. Poster presented at the Australian Statistical Conference, Melbourne, Australia.

Jennifer Wilcock & Alan Lee (2007). Optimal design of two-stage case-control studies? Contributed talk presented at the International Biometric Society Australasian Region Conference, Coffs Harbour, NSW, Australia.

Jennifer Wilcock & Alan Lee (2007). Design of two-stage case-control studies. Contributed talk presented at the New Zealand Statistical Association Conference, Christchurch, New Zealand.

Awards for presentations

2013. Top student poster, International Biometric Society Australasian Region Conference, Mandurah, WA, Australia.

2008. Best poster presentation by a young statistician, Australian Statistical Conference, Melbourne, Australia.

2007. Best oral presentation by a student or early-career biometrician, International Biometric Society Australasian Region Conference, Coffs Harbour, NSW, Australia.

Committees/Professional groups/Services

Member, International Biometric Society

Fellow, Royal Statistical Society

Selected publications and creative works (Research Outputs)

  • Wilcock, J. L. (2/12/2013). Publication patterns: A co-citation network for biometrics, 1993-2013. Poster presented at International Biometric Society Australasian Region Conference, Mandurah, WA, Australia. Related URL.
  • Wilcock, J. L. (25/11/2013). Publication patterns: A co-citation network for biometrics, 1993-2013. Poster presented at 2013 Joint New Zealand Statistical Association and Operations Research Society of New Zealand Conference, Hamilton, NZ. Related URL.
  • Wilcock, J. L., & Lee, A. J. (2011). Efficiency of the profile likelihood estimator for case-control studies under general misspecification. Paper presented at Joint Statistical Meetings (JSM) 2011, Miami, USA. Related URL.
    Other University of Auckland co-authors: Alan Lee
  • Lee, A. J., & Wilcock, J. L. (2010). The Scott-Wild estimate is efficient under general misspecification: A projection approach. Paper presented at 19th International Workshop on Matrices and Statistics, Shanghai, China. 5 June - 8 June 2010. Related URL.
    Other University of Auckland co-authors: Alan Lee
  • Wilcock, J. L., & Lee, A. J. (1/9/2009). Frequency matching and balance as design strategies in case control studies. Poster presented at International Conference of the Royal Statistical Society, Edinburgh, Scotland. Related URL.
    Other University of Auckland co-authors: Alan Lee
  • Wilcock, J. L., & Lee, A. J. (1/1/2008). A method for designing two-stage case-control studies. Poster presented at Australian Statistical Conference 2008, Melbourne, Australia.
    Other University of Auckland co-authors: Alan Lee
  • Wilcock, J. L., & Lee, A. J. (2007). Comparison of optimal and balanced two-stage case-control designs under cost contraints. Paper presented at New Zealand Statistical Association (NZSA) Conference, Christchurch, NZ. 4 July - 6 July 2007. Related URL.
    Other University of Auckland co-authors: Alan Lee
  • Wilcock, J. L., & Lee, A. J. (2007). The optimal design of two-stage case-control studies. Paper presented at International Biometric Society Australasian Region Conference, Coffs Harbour, Australia. 2 December - 6 December 2007.
    Other University of Auckland co-authors: Alan Lee

Contact details

Alternative contact

Internal phone number: 81033

Phone number from outside the University: 09 923 1033

Room 396 (level 3 of building 303S)

Department of Statistics