Tom Britton

  1. Respondent-driven Sampling on Directed Networks.

    Authors: Tom Britton, Xin Lu, Fredrik Liljeros, Jens Malmros
    Subjects: Methodology
    Abstract

    Respondent-driven sampling (RDS) is a commonly used substitute for random
    sampling when studying hidden populations, such as injective drug users or men
    who have sex with men, for which no sampling frame is known. The method works
    like a snowball sample but can, given that some assumptions are met, generate
    unbiased population estimates. One key assumption, not likely to be met, is
    that the acquaintance network in which the recruitment process takes place is
    undirected, meaning that all recruiters should have the potential to be
    recruited by the person they recruit.

  2. The Sensitivity of Respondent-driven Sampling Method.

    Authors: Tom Britton, Xin Lu, Linus Bengtsson, Martin Camitz, Beom Jun Kim, Anna Thorson, Fredrik Liljeros
    Subjects: Applications
    Abstract

    Researchers in many scientific fields make inferences from individuals to
    larger groups. For many groups however, there is no list of members from which
    to take a random sample. Respondent-driven sampling (RDS) is a relatively new
    sampling methodology that circumvents this difficulty by using the social
    networks of the groups under study. The RDS method has been shown to provide
    unbiased estimates of population proportions given certain conditions. The
    method is now widely used in the study of HIV-related high-risk populations
    globally.

  3. Stochastic epidemic models: a survey.

    Authors: Tom Britton
    Subjects: Probability
    Abstract

    This paper is a survey paper on stochastic epidemic models. A simple
    stochastic epidemic model is defined and exact and asymptotic model properties
    (relying on a large community) are presented. The purpose of modelling is
    illustrated by studying effects of vaccination and also in terms of inference
    procedures for important parameters, such as the basic reproduction number and
    the critical vaccination coverage. Several generalizations towards realism,
    e.g. multitype and household epidemic models, are also presented, as is a model
    for endemic diseases.

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