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DTSTART:20241103T020000
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DESCRIPTION:NOTE: BIS 525 students are required to attend in person (47 Co
 llege St.\, Room 106A). All others are requested to attend via Zoom. SPEA
 KER : Rebecca Andridge \, PhD\, Associate Professor\, Department of Biost
 atistics\, The Ohio State University TITLE : “ Measures of Selection Bias
  for Proportions Estimated from Non-Probability Samples” ABSTRACT : The p
 roportion of individuals in a finite target population that has some char
 acteristic of interest is arguably the most commonly estimated descriptiv
 e parameter in survey research. Unfortunately\, the modern survey researc
 h environment has made it quite difficult to design and maintain probabil
 ity samples: the costs of survey data collection are rising\, and high ra
 tes of nonresponse threaten the basic statistical assumptions about proba
 bility sampling that enable design-based inferential approaches. As a res
 ult\, researchers are more often turning to non-probability samples to ma
 ke descriptive statements about populations. Non-probability samples do n
 ot afford researchers the protection against selection bias that comes fr
 om the ignorable sample selection mechanism introduced by probability sam
 pling\, and descriptive estimates based on non-probability samples may be
  severely biased as a result. In this seminar I describe a simple model-b
 ased index of the potential selection bias in estimates of population pro
 portions due to non-ignorable selection mechanisms. The index depends on 
 an inestimable parameter that captures the amount of deviation from selec
 tion at random\; this parameter ranges from 0 to 1 and naturally lends it
 self to a sensitivity analysis. I describe both maximum likelihood and Ba
 yesian approaches to estimating the index\, and illustrate its use via si
 mulation and via application to real data.\n\nSpeaker:\nRebecca Andridge\
 , PhD\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/even
 t/ysph-biostatistics-virtual-seminar-tba-copy-4/\n
DTEND;TZID=America/New_York:20211116T130000
DTSTAMP:20261024T091322Z
DTSTART;TZID=America/New_York:20211116T120000
GEO:41.302961;-72.931638
LOCATION:106-A\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar: "Measures of Selection Bias for Propor
 tions Estimated from Non-Probability Samples"
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