Date/Time
Date(s) - 23/02/2022
2:00 pm - 3:30 pm
Category(ies)
All are invited to the webinar, organised by the International Association for Survey Statisticians.
Please register for the IASS Webinar or go to: https://register.gotowebinar.com/register/4407747921751545614
After registering, you will receive a confirmation email containing information about joining the webinar. There will be time for questions. The webinar will be recorded and made available on the IASS and ISI web site. See below for the abstract and biography of the speakers.
Webinar Abstract
Speakers: Marcelo Trindade Pitta, Pedro Luis do Nascimento Silva
In recent years, a range of methods have been developed for handling unusual data sources – Big Data and non-probability samples –to enable the production of public and official statistics. The core methods available are quasi-randomization, superpopulation modelling and doubly-robust estimation. They rely on the use of generalized linear models and aim to produce estimates with reliability like that of estimates from traditional probability samples of similar sizes. Quasi-randomization involves using a probability sample survey as reference to estimate pseudo-weights for units in a non-probability sample or big data-type source, where coverage of the target population is insufficient or unknown. We present a brief review of the available methods and an application in which quasi-randomization was used successfully to make inference from a web-panel survey carried out by CETIC.br.
Biography
Marcelo Trindade Pitta holds a bachelor’s degree in Statistics from the National School of Statistical Sciences (1991) and a Master’s in Population Studies and Social Research from the National School of Statistical Sciences (2003). He is currently coordinator of quantitative methods at CETIC.br. He has experience in the field of Probability and Statistics, with an emphasis on Time Series, Sampling and State Space Models.
Pedro Luis do Nascimento Silva Bachelor in Statistics from the National School of Statistical Sciences (1980), master’s in applied mathematics – Statistics from the National Institute of Pure and Applied Mathematics Association (1988) and Doctor in Statistics – University of Southampton (1996). He is a Senior Researcher at the National School of Statistical Sciences. He has extensive experience in the following areas of activity in Statistics: sampling and research methods, analysis of complex sample data, household sampling surveys, variance estimation, calibration estimators, data criticism and imputation, estimation for small domains, sample surveys in evaluation policy, official statistics. He was president of the International Institute of Statistics (2015-2017).