9 papers
Reflection on modern methods: a note on variance estimation when using inverse probability weighting to handle attrition in cohort studies
Marie-Astrid Metten, Nathalie Costet, J. -F. Viel +1
The inverse probability weighting (IPW) method is used to handle attrition in association analyses derived from cohort studies. It consists in weighting the respondents at a given…
A cautionary note on the Hanurav-Vijayan sampling algorithm
Guillaume Chauvet
We consider the Hanurav-Vijayan sampling design, which is the default method programmed in the SURVEYSELECT procedure of the SAS software. We prove that it is equivalent to the Sun…
Closed-form variance estimators for weighted and stratified dose-response function estimators using generalized propensity score
Valérie Garès, Guillaume Chauvet, David Hajage
Propensity score methods are widely used in observational studies for evaluating marginal treatment effects. The generalized propensity score (GPS) is an extension of the propensit…
Exponential inequalities for sampling designs
Guillaume Chauvet, Mathieu Gerber
In this work we introduce a general approach, based on the mar-tingale representation of a sampling design and Azuma-Hoeffding's inequality , to derive exponential inequalities for…
Properties of Chromy's sampling procedure
Guillaume Chauvet
Chromy (1979) proposed a unequal probability sampling algorithm, which enables to select a sample in one pass of the sampling frame only. This is the default sequential method used…
Large sample properties of the Midzuno sampling scheme with probabilities proportional to size
Guillaume Chauvet
Midzuno sampling enables to estimate ratios unbiasedly. We prove the asymptotic normality for estimators of totals and ratios under Midzuno sampling. We also propose consistent var…