趣赢平台 @ 2021联合统计会议(JSM)

联合统计会议(JSM), to be held virtually 8月8日-12, 2021, is one of the largest statistical events in the world. 超过13个专业协会参与, 会议把所有的人聚集在一起,来自52个国家的500多名与会者, 80 +参展商, 1,000 +招收的学生, 75家以上的雇主招聘200多个职位. Whether virtual or in person, 趣赢平台 continues to deliver leading-edge research for the event.

Jeri Mulrow

“每年, JSM provides an excellent opportunity for all to come together and network with our colleagues from across the nation and around the globe,韦斯特副总统指出 Jeri Mulrow统计与评价科学主任. “2020年前所未有的挑战已经过去, 趣赢平台’s statisticians and data scientists are sharing innovative ideas and methods that have helped us push the field forward, 满足客户研究需求, 加强对所有人的统计研究.”

了解更多我们如何帮助您应对项目挑战的信息. 看看 专家指引(PDF), which illustrates our multimode capabilities and innovative ways to advance the data collection science. 

今年, 本着本次活动“统计”的主题, Data, 以及他们讲的故事, 我们在下面分享一些统计数据和数据故事. (注:*表示主讲人.看到我们的 会议程序(PDF) 为更多的细节.

Jianzhu李

周日, 8月8日, 2021: 3:30-5:20 pm (ET): An Approach to Estimate the Re-Identification Risk in Longitudinal Survey Microdata: Jianzhu李*, 林李, 汤姆Krenzke

保护调查对象的机密数据至关重要. 在发布统计数据产品之前, a risk assessment needs to take place to ensure that the disclosure risk is at an acceptably low level. 在纵向调查, 因为相同的受访者参与了多个调查浪潮, 再识别风险通常高于横断面数据中的风险. Common variables that do not change over time or change in patterns may allow the users to link up the records in individual files to form longitudinal records. 在这里, we share a survey example to demonstrate using the log-linear modeling approach to measure the re-identification risk while incorporating the longitudinal nature of the data, 哪一种测量纵向风险相对于横向风险的增加.

伊丽莎白Petraglia

周二, 8月10日, 2021: 10-11:50 am (ET): Leveraging 行政 Data to Improve Child Passenger Safety: 伊丽莎白Petraglia*

行政, 或“发现,数据(税务记录), 传感器数据, 交易收据)已成为研究的共同资源. But alternative data sources can help researchers make more 细节ed implications often while improving statistical efficiency and decreasing cost. 我们将介绍, 例如, 全国数字汽车座椅检查表(NDCF), which collects 细节ed and user-friendly administrative data on child passenger safety (CPS) in the course of a typical car seat check. 在这里,我们探讨NDCF的数据提供和一些创新的方法, 例如基于可视化和个性化的仪表板, 用于将NDCF数据分发给具有不同数据素养的用户. We examine how the NDCF compares to selected CPS-related surveys and observational studies, 根据覆盖率评估每个来源的优势和局限性, 细节, 数据质量, 和样本容量. 最后,我们为该领域的实际应用提供了一些建议, 包括在 结合 与NDCF的调查数据.

剑陈

周三, 8月11日, 2021: 1:30-3:20 pm (ET): Creating Base Weights and Replicate Weights for a PPS Sample with a Supplemental Sample When the Eligibility Frame Information Is Available After Sampling: 剑陈*, 伊斯梅尔·弗洛雷斯塞万提斯, 迈克Kwanisai

Supplemental samples are used in surveys to increase sample sizes when there is a low response rate or high ineligibility. 的re are no straightforward methods for drawing supplemental samples for a systematic probability proportional to size (PPS) sample design after the main sample had been selected. We examine a situation where there was a large number of ineligible in the sampling frame known after the main sample selection but before drawing the supplemental sample. A non-overlapping supplemental sample was drawn by randomly offsetting the random start of the main sample interval. We explore and evaluate several methods for creating the base and replicate weights that properly reflect the variance estimates for this design. Finally, we compare the empirical bias and variance for these methods using Monte Carlo simulations.

Tien-Huan林

周三, 8月11日, 2021: 1:30-3:20 pm (ET): A Comparison of Two CHAID Pack年龄s for Modeling Survey Nonresponse: Tien-Huan林*, 卡洛斯Arieira, 伊斯梅尔·弗洛雷斯塞万提斯, 迈克Kwanisai

当涉及到单位无反应时, it is common practice to lessen bias by modeling response propensity and adjusting weights to account for different response propensities. 的 CHAID (Chi-square Automatic Interactive Detector) algorithm is commonly used to produce weighting classes for this purpose, which brings us to the analysis of 2 popular software pack年龄s that implement the CHAID algorithm: SI-CHAID and HPSPLIT. We will describe the pros and cons of the 2 pack年龄s in terms of the resulting bias and variance of the weighted estimates by using simulations of a complex survey sample design to examine the pack年龄s’ interchangeability.

詹妮弗·卡利

周三, 8月11日, 2021: 1:30-3:20 pm (ET): 评价 of Methods to Form Segments from Census Blocks in Area Sample Designs: 詹妮弗·卡利*, 汤姆Krenzke, 陈应, 剑陈, 吉姆·格林

In-person surveys often use a multist年龄 sample design in which households are sampled within geographic areas called segments, 通过限制数据收集者的地理范围来提高成本效率. 通常,小区是由相邻的人口普查街区组成的. A simple method to combine adjacent census blocks is to sort the census block file by the census block ID, 它经常创建不连续的段, 不完整(包含空洞), 而不是紧凑. Issues with contiguity and 完整性 create challenges for data collectors in determining which housing units to include in the sample frame. 规模较小的部门会增加面试官的差旅成本. 我们将回顾形成片段的替代方法, 根据连续度对每种排序方法所形成的分段进行评估, 完整性, 密实度, 和部门间方差, 并给出了所有四种分类方法的分段形成算法.

迈克尔·琼斯

周三, 8月11日, 2021: 1:30-3:20 pm (ET): Modeling Survey Nonresponse Under a Cluster Sample Design: Classification and Regression Tree Methodologies Compared: 迈克尔·琼斯*, 西西亚威廉·埃弗雷特, Tien-Huan林, 詹妮弗·卡利, 伊斯梅尔·弗洛雷斯塞万提斯

计算调查权重,用于分析复杂的抽样调查数据, 为了减少估计的偏差,通常会对无响应进行调整. Many algorithms and methodologies are available to you for modeling survey nonresponse for these adjustments. 最好的方法是什么? We dig down deep and compare select algorithms when working with a complex cluster sample design. We also evaluate the effect of the classification tree-based methods on the reduction of nonresponse bias in high-response and low-response settings, 并考察这些方法在调整调查权重时的表现. What are the benefits and limitations of using these methods for estimating response propensities in surveys that use a cluster sample? 我们也讨论它们.

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