{"id":148,"date":"2012-03-04T17:05:23","date_gmt":"2012-03-04T17:05:23","guid":{"rendered":"http:\/\/ihsn.org\/apps\/iass\/?page_id=148"},"modified":"2025-06-09T09:10:31","modified_gmt":"2025-06-09T09:10:31","slug":"cochran-hansen-prize","status":"publish","type":"page","link":"https:\/\/isi-iass.org\/home\/cochran-hansen-prize\/","title":{"rendered":"Cochran-Hansen Prize"},"content":{"rendered":"<h3><strong>Cochran-Hansen Prize 2025:\u00a0<\/strong><strong>Competition for Young Survey Statisticians from Developing and Transitional Countries<\/strong><\/h3>\n<p>In celebration of its 25th anniversary in 1999, the International Association of Survey Statisticians (IASS) established the Cochran-Hansen Prize, which is awarded every two years for the best paper on survey research methods submitted by a young statistician from a developing or transition country.<\/p>\n<p>For the 2025 edition, the Cochran-Hansen Prize consists of research expenses up to\u00a0 \u20ac1500 to present his or her paper at the 65<sup>th<\/sup>\u00a0World Statistics Congress of the International Statistical Institute (<a href=\"https:\/\/www.isi-next.org\/conferences\/isi-wsc2025\/\">65<sup>th<\/sup> ISI World Statistics Congress 2025<\/a>) \u00a0to be held in The Hague, the Netherlands, 5-9 October 2025. This recognition will cover the WSC registration and travel expenses to the conference as well as participation in a short course.\u00a0 Credit should be given to IASS for its support during conference presentations or in the publication supported by the Cochran-Hansen Prize.<\/p>\n<p>Participation in the competition for the prize is restricted to young statisticians from developing countries (<a href=\"https:\/\/www.isi-web.org\/low-and-middle-income-countries-and-regions\">Low and Middle-Income Countries<\/a>)\u00a0\u00a0 that are living in such countries and were born in 1990 or later.<\/p>\n<p>A paper submitted for the competition must consist of original work which is either unpublished or has been published after February 28<sup>th<\/sup>, 2023. A paper may be based on a university thesis and should be written in English. The deadline for submission of papers for the 2025 prize is February 28<sup>th<\/sup>, 2025. All papers must be sent to the chair of the IASS 2025 Cochran-Hansen Prize Committee, Eric Rancourt at: <a href=\"&#x6d;a&#x69;l&#x74;&#111;&#x3a;&#101;r&#x69;c&#x2e;&#114;&#x61;&#110;&#x63;&#111;u&#x72;t&#x40;&#115;&#x74;&#97;&#x74;&#x63;a&#x6e;&#46;&#x67;&#99;&#x2e;&#99;a\">&#x65;&#114;i&#x63;&#46;r&#x61;&#110;c&#x6f;&#117;r&#x74;&#64;s&#x74;&#x61;t&#x63;&#x61;&#110;&#x2e;&#x67;&#99;&#x2e;&#x63;&#97;<\/a> by the deadline.<\/p>\n<p>Each submission must be accompanied by a cover letter, stating the author\u2019s year of birth, nationality, and country of residence. The cover letter should also indicate if the paper submitted is based on a PhD thesis and, in the case of a joint paper, the contribution to the paper made by the prize competitor. The papers submitted will be reviewed by members of the Cochran-Hansen Prize Committee appointed by the IASS. The decision of the Committee will be final. The prize winner will be notified on or before March 31<sup>st<\/sup>, 2025, by email.<\/p>\n<p>For further information, please contact: Eric Rancourt, Statistics Canada<\/p>\n<p>Email: <a href=\"&#x6d;&#x61;&#105;l&#x74;&#x6f;&#58;er&#x69;&#x63;&#46;r&#x61;&#x6e;&#99;&#111;u&#x72;&#x74;&#64;s&#x74;&#x61;&#116;&#99;a&#x6e;&#x2e;&#103;c&#x2e;&#x63;&#97;\">&#101;&#x72;&#105;&#x63;&#46;&#114;&#x61;&#110;&#x63;o&#x75;r&#116;&#x40;&#115;&#x74;a&#x74;&#x63;&#97;&#x6e;&#46;&#x67;c&#46;&#x63;&#97;<\/a><\/p>\n<p><a href=\"http:\/\/isi-iass.org\/home\/wp-content\/uploads\/Cochran-Hansen-Prize_2025.pdf\">Open announcement in PDF<\/a><\/p>\n<h2 style=\"text-align: center;\">Cochran-Hansen Prize Laureates 1999-2025<\/h2>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>2025: Saurav Guha, India<\/li>\n<li>2023: Alejandra Arias-Salazar, Costa Rica\u00a0 and\u00a0 Ziqing Dong, China<\/li>\n<li>2021: Guilherme Anthony Pinheiro Jacob, Brazil<\/li>\n<li>2019: Diego Andres Perez Ruiz, Mexico<\/li>\n<li>2017: Girish Chandra, India<\/li>\n<li>2015: Santanu Pramanik, India and Kevin Carl Santos, Philippines<\/li>\n<li>2013: Emilio Lopez Escobar, Mexico<\/li>\n<li>2011: Solange Correa, Brazil<\/li>\n<li>2009: Hukum Chandra, India<\/li>\n<li>2007: Marcel de Toledo Vieira, Brazil<\/li>\n<li>2005: Maiki Ilves, Estonia<\/li>\n<li>2003: Krishna Mohan Palipudi, India<\/li>\n<li>2001: Kristiina Rajaleid, Estonia<\/li>\n<li>1999: Noor Muhammad Farid, Indonesia and Enal Pungas, Estonia<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 style=\"text-align: center;\">Cochran-Hansen Prize 2025<\/h2>\n<p><strong>\u00a0<\/strong>For the 2025 edition, the Cochran-Hansen Prize consists of research expenses up to\u00a0 \u20ac1500 for the winner to present his or her paper and receive recognition at the 65<sup>th<\/sup>\u00a0World Statistics Congress of the International Statistical Institute (<a href=\"https:\/\/urlisolation.com\/browser?url=https%3A%2F%2Fwww.isi-next.org%2Fconferences%2Fisi-wsc2025%2F&amp;traceToken=1743769322;manchesteruni_hosted;https:\/isi-iass.org\/home\/cochran&amp;clickId=D2918AB1-B521-486C-B3C9-93C4244878E6\">65<sup>th<\/sup>\u00a0ISI World Statistics Congress 2025<\/a>) \u00a0to be held in The Hague, the Netherlands, 5-9 October 2025. The prize will cover the WSC registration and travel expenses to the conference as well as participation in a short course.\u00a0 Participation in the competition for the prize was restricted to young statisticians from developing countries (<a href=\"https:\/\/urlisolation.com\/browser?url=https%3A%2F%2Fwww.isi-web.org%2Flow-and-middle-income-countries-and-regions&amp;traceToken=1743769322;manchesteruni_hosted;https:\/isi-iass.org\/home\/cochran&amp;clickId=D2918AB1-B521-486C-B3C9-93C4244878E6\">Low and Middle-Income Countries<\/a>)\u00a0\u00a0that are living in such countries and who were born in 1990 or later. A paper submitted for the competition needed to be original work which is either unpublished or has been published after February 28<sup>th<\/sup>, 2023.<\/p>\n<p>The 2025 committee for the Cochran-Hansen competition consisted of Eric Rancourt (chair), Katherine Jenny Thompson and Li-Chun Zhang.\u00a0 A total of 9 papers from 7 countries (Bangladesh, Brazil, India, Indonesia, Senegal, Tanzania and Turkey) were submitted to the competition. \u00a0\u00a0The committee unanimously decided to award the 2025 Cochran-Hansen prize to: Dr. <strong>Saurav Guha<\/strong> (India) for his paper: \u201cSmall area estimation under a spatially correlated multivariate area-level model\u201d that he co-authored with the late Hukum Chandra.<\/p>\n<p>The paper was published in JRSS-A in 2023 and presents a spatial version of multivariate Fay\u2013Herriot model with small area predictor. The residual maximum likelihood is employed for estimating the parameters of the proposed model. Analytical and bootstrap approaches for estimating the mean squared error (MSE) of the proposed predictor are also developed. The performance of the proposed predictor and the MSE estimators are evaluated through various simulation studies. The results evidently show that the proposed predictor outperforms the existing predictors. An application of the proposed methodology has also been made using the 2011\u201312 Consumer Expenditure Survey data of India.<\/p>\n<p>Dr. Saurav Guha is Assistant Professor-cum-Jr. Scientist at the Department of Statistics, Mathematics &amp; Computer Application in Bihar Agricultural University, Bhagalpur, Bihar, India. He obtained his MSc (2014) and PhD (2018) from the ICAR-Indian Agricultural Statistics Research Institute in New Delhi.<\/p>\n<p>&nbsp;<\/p>\n<h2 style=\"text-align: center;\">Cochran-Hansen Prize 2023<\/h2>\n<p>The 2023 committee for the Cochran-Hansen competition for outstanding paper from a \u00a0young survey statistician from a developing or transition county \u00a0consisted of Nikos Tzavidis (chair), Bernard Baffour and \u00a0Maria Giovanna Ranalli.\u00a0 A total of 8 papers were submitted to the competition. \u00a0\u00a0The committee decided to award two Cochran-Hansen prize winners. Both winners will present their papers at the \u00a064<sup>th<\/sup> \u00a0World Statistics Congress of the International Statistical Institute in Ottawa in July 2023.<\/p>\n<p>The 2023 award winners are:<br \/>\nAlejandra Arias-Salazar (Costa Rica) for her paper: \u00a0\u00a0\u201cSmall Area Estimates of Poverty Incidence in Costa Rica under a Structure Preserving Estimation (SPREE) Approach\u201d<\/p>\n<p>Ziqing Dong (China) for his paper: \u00a0\u201cLinearization and Variance Estimation of the Bonferroni Inequality Index\u201d.<\/p>\n<p>In addition, the following young statisticians had highly commended papers: \u00a0\u00a0\u00a0Caio Gon\u00e7alves \u00a0(Brazil) \u00a0and Anjoy\u00a0 Priyanka \u00a0(India).<\/p>\n<h2 style=\"text-align: center;\">Cochran-Hansen Prize 2021<\/h2>\n<p>The committee for the Cochran-Hansen competition for young survey statisticians from developing or transition countries has decided to award the 2021 prize to Guilherme Anthony Pinheiro Jacob from Brazil. He receives the award for the paper <em>Estimation of gross flows under nonresponse and complex sampling design<\/em>.<\/p>\n<p><em>The work of the committee<\/em><\/p>\n<p>The 2021 prize committee consisted of Isabel Molina from Universidad Carlos III de Madrid (chair), Yves Till\u00e9 from Universit\u00e9 de Neuch\u00e2tel and Jean-Fran\u00e7ois Beaumont, from Statistics Canada. It has evaluated two candidate papers by young authors from South Africa and Brazil. Both papers are unpublished. One paper has two authors, but the candidate\u2019s role and main contribution have been clarified. The committee members have individually assessed and ranked all papers and the final choice of the prize winner was made unanimously in a video conference held 15th March 2021.<\/p>\n<p><em>The winning paper and motivation<\/em><\/p>\n<p>The paper presents methods to estimate gross flows, which describe the changes in the distribution of a categorical variable along two different time points observed in a longitudinal survey. It also describes the new R package <em>surf<\/em> developed by the candidate, which implements these methods, producing estimates of the model parameters, together with their standard errors, as well as Rao-Scott adjusted Pearson chi-squared test (Rao and Scott 1981). The implemented methods adjust for possibly nonrandom nonresponse according to Stasny (1987) and it accounts for complex designs, by using the Maximum Pseudo-Likelihood extension by Guti\u00e9rrez (2014). The paper also presents an application, in which gross labour flows are analyzed using real data from Brazil\u2019s Continuous National Household Sample Survey (PNADC). The estimation of gross flows from longitudinal surveys is an important problem for survey research and survey practice. Moreover, the R package represents a great tool for practitioners and the application conducted is of interest.<\/p>\n<p>References:<\/p>\n<ul>\n<li>Rao, J. N. K. and Scott, A. J. (1981). The Analysis of Categorical Data from Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables<em>. <\/em><em>Journal of the American Statistical Association<\/em>, <strong>76<\/strong>, 221-230, <a style=\"font-size: inherit;\" href=\"https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/01621459.1981.10477633\">https:\/\/www.tandfonline.com\/doi\/abs\/10.1080\/01621459.1981.10477633<\/a><\/li>\n<li>Stasny, E. A. (1987). Some Markov-Chain Models for Nonresponse in Estimating Gross Labor Force Flows. <em>Journal of Official Statistics<\/em>, <strong>3<\/strong>, 359-373.<\/li>\n<li>Guti\u00e9rrez, H. A. (2014). Modelos para estimar cambios brutos en encuestas rotativas con ausencia de resposta en dise\u00f1os de muestreo complejos. Ph.D. thesis, Universidad Nacional de Colombia, Facultad de Ciencias, Departamento de Estad\u00edstica, Bogot\u00e1, Colombia.<\/li>\n<\/ul>\n<p><em>Short Bio of the Prize Winner<\/em><\/p>\n<p>Guilherme A. Pinheiro Jacob was born on June 21st, 1991 in Manaus, Amazonas, Brazil. He studied for a B.Sc in Economics at the Federal University of Amazonas in Manaus, Brazil, and completed a MSc. in &#8220;Population, Territory and Public Statistics&#8221; at the National School of Statistical Sciences (ENCE\/IBGE) in Rio de Janeiro, Brazil, where he is currently a PhD candidate. He was also Leslie Kish Fellow at the University of Michigan&#8217;s 2020 Sampling Program for Survey Statisticians.<\/p>\n<h2 style=\"text-align: center;\">Cochran-Hansen Prize 2019<\/h2>\n<p>The experience of Diego Andres Perez Ruiz is detailed on pg.8 of <a href=\"http:\/\/isi-iass.org\/home\/wp-content\/uploads\/Survey_Statistician_2020_January_N81.pdf\">The Survey Statistician no. 81<\/a><\/p>\n<h2 style=\"text-align: center;\">Cochran-Hansen Prize 2017<\/h2>\n<p>The winner of the 2017 Cochran-Hansen Prize was Girish Chandra (India). The title of his paper was:<\/p>\n<p><b>Ranked set sampling approach for estimating response of developmental programs with linear impacts under successive phases<\/b><\/p>\n<p>Girish Chandra presented his paper at the 61st World Statistics Congress in Marrakech 16-21 July, 2017<\/p>\n<h2 style=\"text-align: center;\">Report on the Cochran-Hansen Prize 2015<\/h2>\n<p>The Cochran-Hansen Prize of the IASS is awarded every two years for the best paper on survey research methods submitted by a young statistician from a developing or transition country. Participation in competition for the 2015 prize was restricted to young statisticians from developing and transition countries who were living in such countries and were born in 1980 or after. The definition of the target countries was based on the list of countries adhered by the International Statistical Institute. The Cochran-Hansen Prize consists of books and journal subscriptions in the value of EUR 500.<\/p>\n<p>A total of 16 papers were submitted for the 2015 competition. Eight papers from seven different countries (Cameroon, India, Iran, Nigeria, Philippines, Turkey and South Africa) were accepted for review by the members of the Cochran-Hansen Prize Committee appointed by the IASS. The committee members were Risto Lehtonen, Jean Opsomer and Marcel de Toledo Vieira.<\/p>\n<p>The reviewed papers were interesting, timely and covered widely the area of survey research methods. Two papers were ranked highest in the independent review by the jury members. The jury decided to award these two best papers. The winners are Santanu Pramanik (Research Scientist, Public Health Foundation of India) and Kevin Carl P. Santos (Assistant Professor, University of the Philippines-Diliman School of Statistics).<\/p>\n<p>The paper entitled <b>&#8220;Selection of Prior for the Variance Component and Approximations for Posterior Moments in the Fay-Herriot Model&#8221;<\/b> by Santanu Pramanik is based on his PhD thesis in statistics completed at University of Maryland. The abstract of the paper summarizes the method as follows.<\/p>\n<p>&#8220;In the Fay-Herriot model, a prior distribution for the variance component allows posterior moments to be approximated with the Laplace method, avoiding computer intensive Monte Carlo Markov chains. The extremely skewed posterior distribution of the variance component results from the asymmetry of the parameter space with variance parameters constrained to be positive. The prior avoids the extreme skewness of the posterior in contrast to the commonly used uniform prior. With this prior, the mean squared error and coverage in the approximate hierarchical Bayes method are satisfactory when used to estimate small area means. Computation time is shorter than with Monte Carlo Markov chains. The approximations give easy interpretations of Bayesian methods and highlight frequentist properties of the parameters&#8221;<\/p>\n<p>The paper entitled <b>&#8220;Improving Predictive Accuracy of Logistic Regression Model Using Ranked Set Samples&#8221;<\/b> by Kevin Carl P. Santos is based on his M.S thesis in statistics completed at the School of Statistics of the University of Philippines-Diliman, School of Statistics. As summarized in the abstract of the paper:<\/p>\n<p>&#8220;Logistic regression is often confronted with separation of likelihood problem and rare events. We propose to address this issue by drawing sample using ranked set sampling (RSS). Simulation studies illustrated the advantage in terms of predictive ability of logistic regression with RSS in small populations regardless of the distribution of the binary responses. As the sample and population sizes increase, the predictive ability of model from RSS also improves but it becomes comparable to fitted models using simple random samples (SRS). Furthermore, RSS mitigates the problem of separation of likelihood especially when the population size is relatively large. Lastly, even in the presence of ranking errors, RSS still yielded higher predictive power than its SRS counterpart.&#8221;<\/p>\n<p>The prize winners were invited to present their papers at the 2015 World Statistics Congress of the ISI. The IASS congratulates the winners. The IASS wants to thank all authors who submitted a paper to the competition.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cochran-Hansen Prize 2025:\u00a0Competition for Young Survey Statisticians from Developing and Transitional Countries In celebration of its 25th anniversary in 1999, the International Association of Survey Statisticians (IASS) established the Cochran-Hansen Prize, which is awarded every two years for the best paper on survey research methods submitted by a young statistician from a developing or transition&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-148","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/pages\/148","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=148"}],"version-history":[{"count":47,"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/pages\/148\/revisions"}],"predecessor-version":[{"id":3493,"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/pages\/148\/revisions\/3493"}],"wp:attachment":[{"href":"https:\/\/isi-iass.org\/home\/wp-json\/wp\/v2\/media?parent=148"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}