{"id":1494,"date":"2020-06-26T05:23:25","date_gmt":"2020-06-26T05:23:25","guid":{"rendered":"http:\/\/isi-iass.org\/home\/?page_id=1494"},"modified":"2026-03-31T23:51:15","modified_gmt":"2026-03-31T23:51:15","slug":"webinars","status":"publish","type":"page","link":"https:\/\/isi-iass.org\/home\/webinars\/","title":{"rendered":"Webinar"},"content":{"rendered":"<p>Slide presentations <strong>before October 2025<\/strong> are linked into the IASS webinars below.\u00a0 \u00a0<\/p>\n<p>The\u00a0 IASS Webinar Video Recordings <strong>before October, 2025<\/strong> can be accessed <a href=\"https:\/\/isi-web.org\/workshop\">here<\/a>.<\/p>\n<p>IASS Webinar 62: Seminal Ideas and Controversies in Statistics\u00a0 <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-webinar-62-slides.pdf\">Slides<\/a> <a href=\"https:\/\/isi-web.org\/webinar\/iass-seminal-ideas-and-controversies-statistics\">Recording<\/a><\/p>\n<p>IASS Webinar 61: Reducing Measurement and Sampling Biases in Nonprobability Surveys\u00a0<a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-slides-for-webinar-61.pdf\">Slides<\/a> <a href=\"https:\/\/isi-web.org\/webinar\/iass-reducing-measurement-and-sampling-biases-non-probability-surveys\">Recording<\/a><\/p>\n<p>IASS Webinar 60: Survey Quality Frameworks and Quality Assessments\u00a0 <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-ISWGHS-Webinar_SurveyQuality_deJong_2026.pdf\">Slides<\/a> <a href=\"https:\/\/isi-web.org\/webinar\/iass-webinar-60-survey-quality-frameworks-and-quality-assessment\">Recording<\/a><\/p>\n<p>IASS Webinar 59: Some History of Using Models in Survey Sampling\u00a0 <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-2025-Valliant.pdf\">Slides<\/a> <a href=\"https:\/\/isi-web.org\/webinar\/iass-webinar-59-some-history-use-models-survey-sampling\">Recording<\/a><\/p>\n<p>IASS Webinar 58: R-indicators for Assessing Representativeness for Survey and Non-survey Data\u00a0\u00a0<\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-webinar_Nov24-2025_NatalieShlomo.pdf\">Slides<\/a> <a href=\"https:\/\/isi-web.org\/webinar\/iass-r-indicators-assessing-representativeness-surveys-administrative-data-and-non\">Recording<\/a><\/p>\n<p>IASS Webinar 57: 2025 Waksberg Award Lecture &#8211; Sampling for Business Surveys at Statistics Canada\u00a0 <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/2025-Oct-29-Waksberg-presentation.pdf\">Slides<\/a>\u00a0<a href=\"https:\/\/isi-web.org\/webinar\/iass-webinar-57-sampling-business-surveys-statistics-canada\">Recording<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Lynn-IASS-Webinar-Targeting.pdf\">IASS Webinar 56: Targeted Designs to Address Survey Nonresponse<\/a><\/p>\n<p>IASS Webinar 55: (see Webinar 59)<\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_webinar_Kim.pdf\">IASS Webinar 54: Debiased Calibration Estimation Using Generalized Entropy under Selection Bias<\/a>\u00a0\u00a0<\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/iass-multiphase_Lumley.pdf\">IASS Webinar 53: Multiphase Sampling: Design, Analysis and Computation<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS2025CarolinaFranco.pdf\">IASS Webinar 52: Data Integration for Health Policy Evidence Building: An Overview<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-webinar-2025-slides-final-May-2025.pdf\">IASS Webinar 51: Inferential Issues in Small Area Estimation (SAE): Some History and Selective Recent Developments<\/a> (<a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-webinar-April-25-references-final-May-2025.pdf\">with references<\/a>)\u00a0<\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Lohr-2025-IASS.pdf\">IASS Webinar 50: Multiple Frame Methods and Designs for Combining Data Sources<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/2025-IASS-Benchmarking-Webinar-Mercer.pdf\">IASS Webinar 49: Comparing Data Quality and Sources of Error in Probability-based Online Panels and Online Opt-in Samples<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/PRESENTATION-IASS-JANUARY-2025.pdf\">IASS Webinar 48: Official Statistics on Population Parameters from a Nonprobability Sample or by Integration with a Probability Sample<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/ISI.Webinar.ProfEthics.WJR_.2025.pdf\">IASS Special Webinar: Professional Ethics for Statistical Practices<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/DataDrivenAreaSpecificSelection_IsabelMolina.pdf\">IASS Webinar 47: Data-driven Area-specific Selection of Synthetic or Nested-error Models<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Tatem-IASS-Nov24-share-1.pdf\">IASS Webinar 46: Mapping Population Distributions and Demographics Through Geospatial Data Integration (WorldPop)<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/main_Presentation_IASS_30_Oct_2024_1.pdf\">IASS Webinar 45:\u00a0 A Nested Error Regression Model with High\u00a0Dimensional Parameter for Small Area Estimation\u00a0 (the 2024 Hukum Chandra Memorial Prize Lecture)\u00a0\u00a0<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-Webinar-44_Tzavidis_25092024.pdf\">IASS Webinar 44: Random Forests and Mixed Effects Random Forests for Small Area Estimation of General Parameters<\/a><\/p>\n<p>IASS Webinar 43: <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-Corral_Henderson_Barriga.pdf\">Advancing Poverty Mapping \u2013Applications and Validations Using Modern Methods<\/a>;<a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/SenegalSocialRegisterExpansion.pdf\"> Sustaining Poverty Gains: A Vulnerability Map to Guide Social Policy in Senegal<\/a>; <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Poverty-Mapping.pdf\">Poverty Mapping in the Age of Machine Learning<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_AI_survey_Kreuter_handout.pdf\">IASS Webinar 42: Leveraging AI for Survey Research<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Hirose_handout.IASS24.pdf\">IASS Webinar 40: An Estimation of Variance of Random Effects to Solve Multiple Problems in Small Area Estimation\u00a0<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Breidt_Model_Based_Optimal_Designs_for_a_Multipurpose_Farm_Survey.pdf\">IASS Webinar 39: Model-Based Optimal Designs for a Multipurpose Farm Survey<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_webinar-27032024.pdf\">IASS Webinar 38: Data Integration, Data Linkage, and Linked Data Analysis<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Presentation-for-IASS-0226.pdf\">IASS Webinar 37: New Developments in Small Area Estimation: A Practitioner&#8217;s Perspective<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/iass_webinar36_ranalli.pdf\">IASS Webinar 36: Latent Variable Models for Finite Population Inference<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/2023-IASS-Webinar_Rater_Final_12.11.23.pdf\">IASS Webinar 35: Enhancing the Credibility of Survey Data: Old Tricks and New Techniques in Improving the Respondent Experience<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/UnitLevel1-11-29-23.pdf\">IASS Webinar 34: Three Extensions of the Basic Unit-Level Model<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Doss-Missing-Voices-IASS-Oct-2023.pdf\">IASS Webinar 33: Missing Voices: Whose Perspectives are Missing in Household Survey Data<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/CS20230927_WeightShareMethodForestInventories_IASSWebinar.pdf\">IASS Webinar 32: An Extension of the Weight Share Method when using a Continuous Sampling Frame, with Application to the French National Forest Inventory<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/SAE-decentwork.pdf\">IASS Webinar 31: Producing Small Area Estimates for Labour Market Indicators in Latin America: A Bayesian Perspective<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Chen_ISWGHS.pdf\">IASS Webinar 30: Inter-Secretariat Working Group on Household Surveys: What We Have Achieved and What&#8217;s Next?<\/a>\u00a0<\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-webinar-Opsomer.pdf\">IASS Webinar 29: Fitting Classification Trees to Complex Survey Data<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_Donatiello.pdf\">IASS Webinar 28: The Production of Microdata on Household Income, Consumption and Wealth at ISTAT: Experiences, Methods, Perspectives\u00a0<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_Presentation_Struminskaya.pdf\">IASS Webinar 27: Designed Big Data in Surveys and Official Statistics: Augmenting Surveys with Sensors, Apps, Wearables and Data Donation<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/2023_IASS_Webinar_Young.pdf\">IASS Webinar 26: Integrating Survey and Non-survey Data in the Production of U.S. Official Agricultural Statistics: A Progress Report<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Presentation_webinar_25_01_2023_final.pdf\">IASS Webinar 25: Unemployment Estimates for the Brazilian Labour Force Survey Using State-Space Models<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/ISI_Thompson-2022.pdf\">IASS Webinar 24:\u00a0Developing the Sample Design for the New Annual Integrated Economic Survey<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/FMecatti-IASSWebinar13-30Nov22.pdf\">IASS Webinar 23: Bridging BigData and Sampling Methodology: What is &#8220;big&#8221; and where is the &#8220;bridge&#8221;?<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/Torabi_talk_IASS_2022.pdf\">IASS Webinar 22: Hukum Chandra Prize 2022: Small area estimation: a novel approach on estimation of mean squared prediction error of small-area predictors<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASWebinarExpDes.pdf\">IASS Webinar 21: Design-based Analysis of Experiments Embedded in\u00a0 Probability Samples<\/a><\/p>\n<p>IASS Webinar 20: Adjusting for Selection Bias in the Volunteer Sample of the 2021 Lithuanian Census &#8211; <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/I.Burakauskaite_A.Ciginas_presentation.pdf\">Part I<\/a> and <a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/AC_IB_WEB2022.pdf\">Part II<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-Webinar-19-Nishimura-R.pdf\">IASS Webinar 19: Substitution of Nonresponding Units in Probability Sampling<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/PPT-IASS-webinar-EC.pdf\">IASS Webinar 18: Spatial Sampling and Geospatial Information for Monitoring Agriculture<\/a><\/p>\n<p>IASS Webinar 17: On calibration and balanced sampling. Webinar in memory of Jean-Claude Deville<strong> &#8211; <\/strong><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/AMatei_presentation_25052022.pdf\">Matei_Slides <\/a><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/CGoga_25022022.pdf\">Goga_Slides\u00a0 \u00a0 <\/a><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/YvesTille_25052022.pdf\">Tille_Slides\u00a0\u00a0<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/P_Imbriano_IASS_Slides_4-27-2022.pdf\">IASS Webinar 16: Three-Form Split Questionnaire Design for Panel Surveys<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-29-03-22-Marcel-de-Vieira.pdf\">IASS Webinar 15: Approaches for Combining Data from Multiple Probability Samples<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS-Webinar-20220223_Rev7.0mp.pdf\">IASS Webinar 14: Rescuing Non-probability Samples: an Experience with Model-based Inference from a Web-panel Survey<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_2022_Beaumont_DataIntegration.pdf\">IASS Webinar 13: Making Inferences from Non-probability Samples through Data Integration<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/CSF-IASS_presentation-Dec-15th.pdf\">IASS Webinar 12: Robust Analysis of Linked Sample Data<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_HouseholdSurveys_Nov23_webinar.pdf\">IASS Webinar 11: Positioning Household Surveys for the Next Decade<\/a><\/p>\n<p>\u00a0<a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/IASS_AdaptiveSurveyDesign_final.pdf\">IASS Webinar 10: Theory and Practice of Adaptive Survey Design at Statistics Netherlands<\/a><\/p>\n<p><a href=\"https:\/\/isi-iass.org\/home\/wp-content\/uploads\/LRWS-talk.pdf\">IASS Webinar 9: Targeted or lagged walk sampling for estimation of finite-order graph parameters<\/a><\/p>\n\n\n<!DOCTYPE html>\n<html>\n<head>\n\n<style>\n.accordion {\n  background-color: #eee;\n  color: #444;\n  cursor: pointer;\n  padding: 6px 6px;\n  width: 100%;\n  border: none;\n  text-align: left;  \n  outline: none;\n  font-size: 13px;\n  transition: 0.1s;\n}\n\n.view-info {\n    display: inline-block;\n    vertical-align: text-bottom;\n    text-align: right;\n    float: right}\n\n.active, \n.accordion:hover {background-color: #ddd;}\n.accordion:focus {background-color: #eee;}\n\n.panel {\n  padding: 0 13px;\n  background-color: white;\n  max-height: 0;\n  overflow: hidden;\n  transition: max-height 0.2s ease-out;\n}\n<\/style>\n\n<script>\nvar acc = document.getElementsByClassName(\"accordion\");\nvar i;\n\nfor (i = 0; i < acc.length; i++) {\n  acc[i].addEventListener(\"click\", function() {\n    this.classList.toggle(\"active\");\n    var panel = this.nextElementSibling;\n    if (panel.style.maxHeight) {\n      panel.style.maxHeight = null;\n    } else {\n      panel.style.maxHeight = panel.scrollHeight + \"12px\";\n    } \n  });\n}\n<\/script>\n\n<\/body>\n<\/html>\n\n\n<h3 style=\"text-align: center;\"><strong>IASS Webinar:<\/strong><\/h3>\n<h3 style=\"text-align: center;\"><strong>\"SAMPLE SURVEYS ON COVID-19 PANDEMIA AROUND THE WORLD\"<\/strong><strong><br \/><\/strong><strong>11am<\/strong> <strong>CET<\/strong> <strong>on September 3rd, 2020<\/strong><\/h3>\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" src=\"https:\/\/player.vimeo.com\/video\/458860717?dnt=1&amp;app_id=122963\" width=\"700\" height=\"394\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<button class=\"accordion\"> <b> Talk Abstracts <\/b> <\/button>\n<div class=\"panel\">\n\n<p><b>Measuring the socio-economic impact of coronavirus in Asia and the Pacific.<\/b> The coronavirus has been a major wake-up call for national statistical organisations. Survey operations have been impacted, new data sources are being used, data gaps are being filled by whoever is able to fill them, and best practices are being tested.   In Asia and the Pacific, nearly 75% of National Statistical Offices have had to postpone fieldwork for planned censuses and there is thirst for information on what to do and how to do it.   ESCAP, the UN Economic and Social Commission for Asia and the Pacific, has collated information on socio-economic surveillance surveys being undertaken in Asia and the Pacific and convened several dialogues to share expertise and experiences on these activities.  In this presentation, ESCAP will share their findings and the common questions being asked by countries in relation to these surveys. <\/p>\n\n<p><b>Overview of the design and estimation methods in the ONS Covid Infection Survey.<\/b> ONS has been running a survey to measure prevalence and incidence of Covid-19 infection in the household population since April 2020. It was initially limited to England but it has now been extended to the whole UK, and the sample is being increased substantially with the aim to achieve 150000 responding individuals in a fortnight by October 2020. I will describe the challenges we have encountered in collecting and processing the data, as well in estimation and analysis. <\/p>\n\n<p><b>Statistical Design for Covid-19 monitoring and control.<\/b> The Covid-19 pandemic has affected countries differently. In New Zealand all incoming international travellers are put in isolation for two weeks and any cases found are quarantined. There has been limited community transmission. Contact tracing of community cases remains exhaustive. There is a Statistical Advisory Group to the NZ Ministry of Health. The underlying strategy has been elimination rather than eradication, via a scale of alert levels that utilise lockdowns and bubbles. <\/p>\n\n<p> Although the NZ situation is not always replicated elsewhere where Covid-19 prevalence is higher, there remain common underlying statistical themes and issues.\n\u2022\tThe need for government Ministries and Departments of Health to prepare by commissioning design of prevalence surveys as soon as possible, even if implementation is delayed.\n\u2022\tRecognition of the potential to integrate sound sampling with contact tracing by using repeated adaptive cluster and network sample designs, which make it possible to track all contacts of known cases, have a chance of detecting unknown community cases, monitor special groups (such as those at the border) and get prevalence estimates with standard errors over time.\n\u2022\tThe need to understand better the effect of the survey design on specificity of lab tests.\n\u2022\tTo recognise how pooling laboratory tests using even simple experimental designs could improve test sensitivity.\n <\/p>\n\n<\/div>\n\n\n<button class=\"accordion\"> <b> Speaker Biographies <\/b> <\/button>\n<div class=\"panel\">\n\n<p><b>Gemma Van Halderen<\/b> is Director of the Statistics Division in the United Nations Economic and Social Commission for Asia and the Pacific (ESCAP). Prior to joining the United Nations, Gemma was a member of the Australian Bureau of Statistics (ABS) Executive Team focusing on data sharing, data integration and microdata access and ABS\u2019 contribution to the Australian Government\u2019s Data Integration Partnership for Australia.  In 2017, Gemma was seconded to the Commonwealth Department of the Prime Minister and Cabinet to lead preparation of the Government\u2019s response to the Productivity Commission Inquiry into Data Availability and Use. Gemma has extensive global experience.  She was inaugural co-chair of a UN Expert Group on the Integration of Statistical and Geospatial Information, is an elected member of the International Statistics Institute, a member of the International Association of Official Statistics (IAOS) Executive Committee, the regional editor of the Statistical Journal of the IAOS and an advocate for young statisticians. Gemma holds a Bachelor of Science with Honours from the Australian National University. <\/p>\n\n<p><b>Salah Merad<\/b> has been at the Office for National Statistics for over 10 years. He had led sampling and estimation development projects for several ONS surveys, including the Labour Force Survey and the Opinions and Lifestyle Survey, and the recent Covid-19 Infection Survey. <\/p>\n\n<p><b>Stephen Haslett<\/b> is Emeritus Professor of Statistics at Massey University New Zealand, Professorial Fellow at the National Institute for Applied Statistics Research Australia (NIASRA) at the University of Wollongong, and Visiting Fellow at the Research School of Finance, Actuarial Studies and Statistics (RSFAS) and former Professor \/ Director of the Statistical Consulting Centre at the Australian National University. He has theoretical interests in linear and mixed linear models, sparse contingency tables, sample design and analysis, and small area estimation. He has undertaken extensive small area estimation and survey design projects for the UN for poverty estimation, food security, nutrition and health, often related to emergency situations. Linked principally with these projects, he has worked in or for central government statistical agencies in more than two dozen countries mainly in Asia, Africa and the Pacific. He is currently involved in research at the Centre for Public Health Research in New Zealand and is a member of the NZ Ministry of Health (MoH) Statistical Advisory Group which is providing statistical advice for Covid-19 to MoH. He began his professional career during the late 1970s, designing sample surveys at Statistics New Zealand. <\/p>\n\n<\/div> \n\n<script>\nvar acc = document.getElementsByClassName(\"accordion\");\nvar i;\n\nfor (i = 0; i < acc.length; i++) {\n  acc[i].addEventListener(\"click\", function() {\n    this.classList.toggle(\"active\");\n    var panel = this.nextElementSibling;\n    if (panel.style.maxHeight) {\n      panel.style.maxHeight = null;\n    } else {\n      panel.style.maxHeight = panel.scrollHeight + \"12px\";\n    } \n  });\n}\n<\/script>\n\n\n<\/p>\n<p style=\"text-align: center;\"><strong>IASS Webinar: <\/strong><\/p>\n<p style=\"text-align: center;\"><strong>SAMPLE SURVEYS ON COVID-19 PANDEMIA<\/strong><\/p>\n<\/p>\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-vimeo wp-block-embed-vimeo wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" src=\"https:\/\/player.vimeo.com\/video\/436172417?dnt=1&amp;app_id=122963\" width=\"700\" height=\"394\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"http:\/\/International statistical institute Youtube channel\"><\/a><\/h3>\n\n\n\n<h3 class=\"wp-block-heading\">Other Links <\/h3>\n\n\n\n<p><a href=\"https:\/\/www.youtube.com\/user\/TheIsiOffice\/featured\">International Statistics Institute<\/a> [YouTube]<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Slide presentations before October 2025 are linked into the IASS webinars below.\u00a0 \u00a0 The\u00a0 IASS Webinar Video Recordings before October, 2025 can be accessed here. IASS Webinar 62: Seminal Ideas and Controversies in Statistics\u00a0 Slides Recording IASS Webinar 61: Reducing Measurement and Sampling Biases in Nonprobability Surveys\u00a0Slides Recording IASS Webinar 60: Survey Quality Frameworks and&hellip;<\/p>\n","protected":false},"author":455,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1494","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/pages\/1494","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/users\/455"}],"replies":[{"embeddable":true,"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/comments?post=1494"}],"version-history":[{"count":175,"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/pages\/1494\/revisions"}],"predecessor-version":[{"id":3725,"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/pages\/1494\/revisions\/3725"}],"wp:attachment":[{"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/media?parent=1494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}