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SUMMARY:A new inference approach for respondent driven sampling - Dr Yakir
  Berchenko\, Dept. of Veterinary Medicine
DTSTART:20120206T113000Z
DTEND:20120206T123000Z
UID:TALK33682@talks.cam.ac.uk
CONTACT:Prof. Julia Gog
DESCRIPTION:Respondent driven sampling (RDS) is an approach to sampling de
 sign utilizing the networks of social relationships that connect members o
 f the target population to facilitate sampling by chain referral methods. 
 Although RDS can lead to biased sampling\, most RDS studies typically meas
 ure each participant's degree (i.e.\, number of acquaintances) and use inv
 erse-probability weighting in an attempt to correct for this bias (based o
 n the fundamental RDS assumption that the probability of sampling an indiv
 idual is proportional to his degree). However\, this assumption is both na
 ive and unsupported and here we present an entirely new and alternative in
 ference approach.
LOCATION:DD47\, Cripps Court\, Queens' College
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