{ "103587-21807518": { "datetime_modified":"20230118T155519", "datetime_start":"20230215T120000", "datetime_end":"20230215T130000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"MPSDS JPSM Seminar Series - The Evolution of the Use of Models in Survey Sampling", "occurrence_title":"", "combined_title":"MPSDS JPSM Seminar Series - The Evolution of the Use of Models in Survey Sampling: Richard Valliant - Institute for Social Research - Joint Program in Survey Methodology", "event_subtitle":"Richard Valliant - Institute for Social Research - Joint Program in Survey Methodology", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"MPSDS JPSM Seminar Series\r\nFebruary 15, 2023\r\n12:00 - 1:00 EST\r\n\r\nRichard Valliant, PhD, is a research professor emeritus at the Institute for Social Research, University of Michigan, and at the Joint Program in Survey Methodology at the University of Maryland. He is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has been an associate editor of the Journal of the American Statistical Association, Journal of Official Statistics, and Survey Methodology.\r\n\r\nThe Evolution of the Use of Models in Survey Sampling\r\n\r\nThe use of models in survey estimation has evolved over the last five (or more) decades. This talk will trace some of the developments over time and attempt to review some of the history. Consideration of models for estimating descriptive statistics began as early as the 1940's when Cochran and Jessen proposed linear regression estimators of means. These were early examples of model-assisted estimation since the properties of the Cochran-Jessen estimators were calculated with respect to a random sampling distribution. Model-thinking was used informally through the 1960's to form ratio and linear regression estimators that could in some applications reduce design variances.\r\n\r\nIn a 1963 Australian Journal of Statistics paper, Brewer presented results for a ratio estimator that were entirely based on a super population model. Royall (Biometrika 1970 and later papers) formalized the theory for a more general prediction approach using linear models. Since that time, the use of models is ubiquitous in the survey estimation literature and has been extended to nonparametric, empirical likelihood, Bayesian, small area, machine learning, and other approaches. There remains a considerable gap between the more advanced techniques in the literature and the methods commonly used in practice.\r\n\r\nIn parallel to the model developments, the design-based, randomization approach was dominating official statistics in the US largely due to the efforts of Morris Hansen and his colleagues at the US Census Bureau. In 1937 Hansen and others at the Census Bureau designed a follow-on sample survey to a special census of the employed and partially employed because response to the census was incomplete and felt to be inaccurate. The sample estimates were judged to be more trustworthy than those of the census itself. This began Hansen\u2019s career-long devotion to random sampling as the only trustworthy method for obtaining samples from finite populations and for making inferences.\r\n\r\nModel-assisted estimation, as discussed in the 1992 book by S\u00e4rndal, Swensson, and Wretman is a type of compromise where models are used to construct estimators while a randomization distribution is used to compute properties like means and variances. This thinking has led to the popularity of doubly robust approaches where the goal is to have estimators with good properties with respect to both a randomization and a model distribution.\r\n\r\nThe field has now reached a troubling crossroads in which response rates to many types of surveys have plummeted and nonprobability datasets are touted as a way of obtaining reasonable quality data at low cost. Sophisticated model-based mathematical methods have been developed for estimation from nonprobability samples. In some applications, e.g., administrative data files that are incomplete due to late reporting, these methods may work well. However, in others the quality of nonprobability sample data is irremediably bad as illustrated by Kennedy in her 2022 Hansen lecture. In some situations, we are back in Morris' 1937 situation where standard approaches no longer work. Methods are needed to evaluate whether acceptable estimates can be made from the most suspect data sets. Nonetheless. nonprobability datasets are readily available now, and it is up to the statistical profession to develop good methods for using them.\r\n\r\nMichigan Program in Survey and Data Science (MPSDS)\r\nThe University of Michigan Program in Survey Methodology was established in 2001 seeking to train future generations of survey and data scientists. In 2021, we changed our name to the Michigan Program in Survey and Data Science. Our curriculum is concerned with a broad set of data sources including survey data, but also including social media posts, sensor data, and administrative records, as well as analytic methods for working with these new data sources. And we bring to data science a focus on data quality \u2014 which is not at the center of traditional data science. The new name speaks to what we teach and work on at the intersection of social research and data. The program offers doctorate and master of science degrees and a certificate through the University of Michigan. The program's home is the Institute for Social Research, the world's largest academically-based social science research institute.\r\n\r\nSummer Institute in Survey Research Techniques (SISRT)\r\nThe mission of the Summer Institute is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the-art practice and theory in the design, implementation, and analysis of surveys. The Summer Institute in Survey Research Techniques has presented courses on the sample survey since the summer of 1948, and has offered such courses every summer since. Graduate-level courses through the Program in Survey and Data Science are offered from June 5 through July 28 and available to enroll in as a Summer Scholar.", "occurrence_notes":null, "guid":"103587-21807518@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/103587", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"99290637991", "livestream_password":"1949", "livestream_link":"https:\/\/umich.zoom.us\/j\/99290637991", "cost":"", "tags":["Anthropology","Basic Science","Biosciences","Data","Data Management","Data Science","Demography","Discussion","Economics","Free","Generalizability","gerald r. ford school of public policy","Graduate","Graduate and Professional Students","Health","Health & Wellness","Health Data","immigration","Mathematics","Multidisciplinary Design","Online","Political Economy","Political Science","Psychology","Research","Science","Social Sciences","Sociology","Survey Research","Virtual"], "website":"https:\/\/calendar.google.com\/calendar\/event?action=TEMPLATE&tmeid=dDBqdHNmYXA5bXNrcXE1cjhoNm9odnZvaWNfMjAyMzAyMTVUMTcwMDAwWiB1bWljaC5lZHVfdnVuNnRwZWVxMGJxYmI3bHM0N3BhNzE5amtAZw&tmsrc=umich.edu_vun6tpeeq0bqbb7ls47pa719jk%40group.calendar.google.com", "sponsors":[ { "group_name":"Michigan Program in Survey and Data Science", "group_id":"4430", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2023\/01\/event_103587_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_2x\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2023\/01\/event_103587_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb\/media\/attachments\/2023\/01\/event_103587_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_thumb_square\/media\/attachments\/2023\/01\/event_103587_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large\/media\/attachments\/2023\/01\/event_103587_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/resolve\/group_large_lightbox\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_large_crop\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_list\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_large\/media\/attachments\/2023\/01\/event_103587_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/resolve\/event_feature_thumb\/media\/attachments\/2023\/01\/event_103587_original-1.png" }, "occurrence_count":1, "first_occurrence":21807518 } , "40967-21807364": { "datetime_modified":"20240116T141648", "datetime_start":"20230215T120000", "datetime_end":"20230215T123000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"12:00:00", "time_end":"12:30:00", "time_zone":"America\/Detroit", "event_title":"North Campus Mindfulness Meditation Drop-In (Online)", "occurrence_title":"", "combined_title":"North Campus Mindfulness Meditation Drop-In (Online)", "event_subtitle":"", "event_type":"Well-being", "event_type_id":"12", "description":"Take a moment to create some space to breathe and invite a sense of calm into your day. This is a guided mindfulness meditation drop-in session. No experience necessary. Free and open to all. \r\n\r\nEmail dmitryb@umich.edu to sign up for the mailing list. You will receive a weekly reminder with the zoom link. Also, you can add the sessions to your Google Calendar: https:\/\/tinyurl.com\/y3kbkwd6", "occurrence_notes":null, "guid":"40967-21807364@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/40967", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":1, "livestream_type":"other", "livetream_require_login":0, "livestream_id":"", "livestream_link":"", "cost":"", "tags":["Health & Wellness","Meditation","Mindfulness","Mindfulness, Meditation","North campus","Stress Reduction","Virtual","Well-being"], "website":"", "sponsors":[ { "group_name":"Mindfulness @ Umich", "group_id":"3162", "website":"http:\/\/sitemaker.umich.edu\/mindfulness\/mindfulness_meditation__fall_2012" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2017\/05\/event_40967_original.jpeg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2017\/05\/event_40967_original.jpeg" }, "occurrence_count":169, "first_occurrence":20713690 } , "102684-21804981": { "datetime_modified":"20230103T111150", "datetime_start":"20230215T120000", "datetime_end":"20230215T130000", "has_end_time":1, "date_start":"2023-02-15", "date_end":"2023-02-15", "time_start":"12:00:00", "time_end":"13:00:00", "time_zone":"America\/Detroit", "event_title":"PICS International Studies Virtual Information Session and Q&A", "occurrence_title":"", "combined_title":"PICS International Studies Virtual Information Session and Q&A: Bryna Worner, Undergraduate Academic Advisor; Danielle Schmidt, PICS Program Coordinator", "event_subtitle":"Bryna Worner, Undergraduate Academic Advisor; Danielle Schmidt, PICS Program Coordinator", "event_type":"Livestream \/ Virtual", "event_type_id":"24", "description":"Please note: This information session will be held virtually ET through Zoom. This webinar is free and open to the public, but registration is required. Once you've registered, the joining information will be sent to your email.\r\n \r\n Register at: https:\/\/myumi.ch\/7eZq9\r\n \r\n Students considering a major or minor in International Studies are strongly encouraged to attend an International Studies Information Session and Q&A. International Studies academic advisors will discuss:\r\n \r\n \u2022 Prerequisites\r\n \u2022 Major and minor requirements\r\n \u2022 Sub-plans\r\n \u2022 How to declare\r\n \u2022 Additional majors and minors offered at the International Institute\r\n \u2022 Study abroad, grants, and internships\r\n \u2022 Relevance of an International Studies major or minor\r\n \r\n Undeclared students should plan to attend an International Studies Information Session and Q&A. For dates of all upcoming sessions, please review the PICS event calendar. If you have questions, please email is-advising@umich.edu.\r\n \r\n A half-hour presentation will be followed by questions and discussion. Students can declare the International Studies major or minor at the information session. For more information, please email is-advising@umich.edu.\r\n \r\n Parents and prospective students are welcome. For more information, please email is-michigan@umich.edu. Prospective students who would like to receive correspondence about International Studies related orientations, events, and special announcements should sign up for the International Studies Prospective Student email list: https:\/\/myumi.ch\/29DWZ\r\n\r\nIf there is anything we can do to make this event accessible to you, please contact us at is-michigan@umich.edu. 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