Price is an important detail sadly lacking in this and many other
advertisements
It is important that this goes in near the top
PLEASE do not WASTE our time by omitting price
diana
On 13/02/2009 12:35, "Stewart, Deborah" <[log in to unmask]> wrote:
> Dear All,
>
> Please see details below of a forthcoming Masterclass "Handling Missing
> Data", presented by Dr James Carpenter. The course will be held at the
> Postgraduate Statistics Centre, Lancaster University between 30 March -
> 1 April 2009 (inclusive).
>
> For booking registration please go to:
> www.maths.lancs.ac.uk/missing-data
>
> Please would you circulate this to academic staff and groups within your
> school or department?
>
> Many thanks and Best wishes,
> Deborah
>
> Deborah Stewart
> Postgraduate Statistics Centre Secretary
> Dept of Mathematics & Statistics
> Lancaster University
> Lancaster
> LA1 4YF
>
> Tel: +44 (0)1524 593940
> Fax: +44 (0)1524 592681
> Email: [log in to unmask]
> http://www.maths.lancs.ac.uk
>
>
>
> Title: Statistical modelling with missing data using multiple imputation
> and inverse probability weighting
>
> Presenter: Dr James Carpenter
>
>
> Dates of Course: Monday 30th March - Wednesday 1st April 2009
>
> Overview:
>
> This short course will provide an introduction to the issues raised by
> missing data and statistical modelling with missing data. In particular,
> participants will gain an understanding of multiple imputation as a tool
> for handling missing data.
> They will learn how to implement this method through a series of
> practical computing exercises with example datasets in Stata and MLwiN.
>
> The course will have a strong practical focus with six computer sessions
> to consolidate the ideas presented in the lectures, and to gain
> experience with the various methods.
>
> Target audience:
>
> Social Scientists, epidemiologists, biostatisticians and other
> researchers with strong quantitative skills and substantial experience
> in statistical analysis including familiarity with multivariable
> regression methods. During computing practical sessions the participants
> will be provided with computing code, solutions and assistance.
>
> It is strongly recommended that participants are familiar with Stata,
> and to a lesser extent MLwiN.
>
> More detail:
>
> The main objectives of the course are:
>
> * To introduce the key concepts underpinning the analysis of
> partially observed data, together with a principled approach to the
> analysis;
> * To explain the shortcomings of frequently used ad-hoc methods
> * To introduce mulitple imputation, and gain familiarity with using
> the ICE software in Stata for multiple imputation,
> and the MLwiN software for multiple imputation, using simple and
> more complex examples
> * To explore the role of sensitivity analysis, and methods for
> performing approximate sensitivity analysis
> * To introduce inverse probability weighting and doubly robust
> estimation.
>
> Course Content:
>
> The course will consist of 6 sessions, each of which comprises a 1-h
> lecture followed by a short discussion and then a 1.5h computer
> practical. The key topics covered will be:
>
> * Session I: Introduction, issues raised by missing data, and
> towards a systematic approach
> * Session II: Shortcomings of ad-hoc methods; introduction to
> multiple imputation
> * Session III: Further issues in multiple imputation
> * Session IV: Multilevel multiple imputation
> * Session V: Sensitivity analysis
> * Session VI: Inverse probability weighting and doubly robust
> estimation.
>
> Computer workshops will enable course participants to put the methods
> into practice. The course will use the packages Stata (80%) and Mlwin
> (20%).
>
>
> Course Materials:
>
> Participants will receive written course notes.
>
> The Instructor:
> James Carpenter is a Reader in Medical and Social Statistics at the
> London School of Hygiene & Tropical Medicine (University of London). His
> main research interest is missing data, and developing and applying
> multiple imputation. He has led missing data courses in the UK and
> abroad, including under the ESRC's Researcher Development Initiative.
>
>
> Preparatory Reading:
>
> * Participants would benefit from reviewing the introductory
> material on www.missingdata.org.uk (under Getting Started)
> * See also Kenward, M. and Carpenter, J (2007): Muliple Imputation:
> Current perspectives. Statistical Methods in Medical Research, 16,
> 199-218
Professor Diana Kornbrot
School of Psychology
University of Hertfordshire
College Lane, Hatfield, Hertfordshire AL10 9AB, UK
email: [log in to unmask]
web: http://web.mac.com/kornbrot/iweb/KornbrotHome.html
voice: +44 (0) 170 728 4626
fax: +44 (0) 170 728 5073
Home
19 Elmhurst Avenue
London N2 0LT, UK
voice: +44 (0) 208 883 3657
mobile: +44 (0) 796 890 2102
fax: +44 (0) 870 706 4997
|