Item Count Technique in estimating the proportion of people with a sensitive feature
By Arijit Chaudhuri, Tasos C. Christofides. 2007
54 citations recorded by the source corpus.
Subfields: Epidemiology, Sociology and Political Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c172f9c9bb1ee616042f140f4bd73deff5bb32a4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Epidemiology
In Sociology and Political Science
- Graeme Blair
- Kosuke Imai
- Judea Pearl
- Martin Huber
- Dustin Tingley
- Tyler J. VanderWeele
- Kristopher J Preacher
- Luke Keele
In Statistics and Probability
- Graeme Blair
- Kosuke Imai
- Peter C. Austin
- Elizabeth A. Stuart
- Judea Pearl
- Dustin Tingley
- Gary King
- Martin Huber
Citations in the corpus
- Multivariate Regression Analysis for the Item Count Technique (2011, background): “Chaudhuri and Christofides (2007) propose to improve the standard item count technique by slightly modifying the way the sensitive item is incorporated and derive a new estimator.”
- Statistical Analysis of List Experiments (2012, methodology): “2Several refinements based on this difference-in-means estimator and various variance calculations have been studied in the methodological literature (e.g.,Raghavarao and Federer 1979; Tsuchiya 2005; Chaudhuri and Christofides 2007).”