Efficient and multiply robust risk estimation under general forms of dataset shift Page 1 The
Annals of Statistics 2024, Vol. 52, No. 4, 1796–1824 https://doi.org/10.1214/24-AOS2422 © …

In the era of data revolution, availability and presence of data is a huge wealth that has to be
utilized. Instead of making new surveys, benefit can be made from data that already exists …

The purpose of this paper is to evaluate the possibility of applying statistical matching on two
different data sources to create an integrated database with detailed information on …

Statistical matching techniques aim at integrating two or more data sources (usually data
from sample surveys) referred to the same target population. In the basic statistical matching …

This paper aims to address the information gap on the influence of socio-demographic
factors on access and utilization of Assistive Technology (AT) among children with …

This study investigates parametric inferences for the regression of an outcome variable Y on
covariates (V, L). Here, the data are fused from two separate sources, one of which contains …

Purpose To address the data gap on efforts to assess use of assistive technology among
children with disability in sub-Saharan Africa. Contribute towards efforts examining access to …

This dissertation proposes methods for leveraging existing data sources to answer new
public health research questions in two different areas. In the first project we develop …

The statistical matching problem consists in fusing information from two data sources that
are representative of the same population but contain observations on disjoint sets of units …

Poverty studies rely on the analysis of individual data collected by sample surveys, census
and registers. In Europe, the EU Statistics on Income and Living Conditions (EU‐SILC) …