activity
20122021
most citedCoupling methods for multistage sampling

47 citations · 54 across the 15 of their papers we have counts for

collaborators

16 papers

stat.AP2021

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…

stat.ME2021

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…

stat.AP2020

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…

math.ST2020

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…

math.ST2019

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…

math.ST2018

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…

stat.ME2018

Preserving the distribution function in surveys in case of imputation for zero inflated data

Brigitte Gelein, Guillaume Chauvet

Item non-response in surveys is usually handled by single imputation, whose main objective is to reduce the non-response bias. Imputation methods need to be adapted to the study va…

stat.ME2018★ 1 cited

Inference for two-stage sampling designs with application to a panel for urban policy

Guillaume Chauvet, Audrey-Anne Vallée

Two-stage sampling designs are commonly used for household and health surveys. To produce reliable estimators with assorted confidence intervals, some basic statistical properties…

math.ST2016

A comparison of pivotal sampling and unequal probability sampling with replacement

Guillaume Chauvet, Anne Ruiz-Gazen

We prove that any implementation of pivotal sampling is more efficient than multinomial sampling. This property entails the weak consistency of the Horvitz-Thompson estimator and t…

stat.ME2016

Exact balanced random imputation for sample survey data

Guillaume Chauvet, Wilfried Do Paco

Surveys usually suffer from non-response, which decreases the effective sample size. Item non-response is typically handled by means of some form of random imputation if we wish to…

math.ST2015★ 47 cited

Coupling methods for multistage sampling

Guillaume Chauvet

Multistage sampling is commonly used for household surveys when there exists no sampling frame, or when the population is scattered over a wide area. Multistage sampling usually in…

stat.ME2015★ 2 cited

Joint imputation procedures for categorical variables

Hélène Chaput, Guillaume Chauvet, David Haziza +2

Marginal imputation, which consists of imputing each item requiring imputation separately, is often used in surveys. This type of imputation procedures leads to asymptotically unbi…

math.ST2015

Estimation under cross-classified sampling with application to a childhood survey

Hélène Juillard, Guillaume Chauvet, Anne Ruiz-Gazen

The cross-classified sampling design consists in drawing samples from a two-dimension population, independently in each dimension. Such design is commonly used in consumer price in…

math.ST2015

Martingale central-limit theorems for pivotal sampling

Guillaume Chauvet

Ordered pivotal sampling is one of the simplest algorithm to perform without-replacement unequal probability sampling. It has found uses in the context of longitudinal surveys and…

stat.ME2014★ 4 cited

A note on the consistency of the Narain-Horvitz-Thompson estimator

Guillaume Chauvet

For the Narain-Horvitz-Thompson estimator to have usual asymptotic properties such as consistency, some conditions on the sampling design and on the variable of interest are needed…

math.ST2012

On a characterization of ordered pivotal sampling

Guillaume Chauvet

When auxiliary information is available at the design stage, samples may be selected by means of balanced sampling. Deville and Tille proposed in 2004 a general algorithm to perfor…