Announcements

Call for Submissions: Journal for Survey Statistics and Methodology

Special Issue: Survey Research from Asia-Pacific, Africa, the Middle East, Latin America, and the Caribbean

Guest Editors:  Carolina Franco, Mamadou Diallo, Sunghee Lee, Denise Britz do Nascimento Silva

The Journal for Survey Statistics and Methodology seeks submissions for a special issue on survey research from Asia-Pacific, Africa, the Middle East, Latin America, and the Caribbean

Survey research stands to benefit from examining the richness of applications, ideas, and contributions from investigators around the world.  This issue aims to highlight work from locations that are typically underrepresented in JSSAM and other leading journals.  In keeping with the theme of the special issue, it is desirable for at least one of the authors in a submission to be working in one of the regions covered, and applications must use data primarily from these regions. The issue will showcase interesting survey papers from various countries.  

We seek papers from the targeted regions on the usual topics covered in the journal.   These include papers on Survey Statistics, Survey Methodology, and Applications.  The Survey Statistics section presents papers on innovative sampling procedures, imputation, weighting, measures of uncertainty, small area inference, new methods of analysis, and other statistical issues related to surveys. The Survey Methodology section presents papers that focus on methodological research, including methodological experiments, questionnaire design and testing, methods of data collection, interviewer effects, nonresponse and recruitment protocols, responsive designs, new data sources, and use of paradata. The Applications section contains papers involving innovative applications of methods and providing practical contributions and guidance, and/or significant new findings.  In addition to the general topics above, the issue also seeks papers on survey methods and statistics in multinational, multiregional, and multicultural contexts, and on capacity building efforts. 

Submissions to the special issue are welcomed through September 30, 2024. Upon submission manuscripts will be peer-reviewed in accordance with standard journal practice and will be published online soon after acceptance. See this information flyer.

 Electronic copies of the manuscripts should be uploaded at https://mc.manuscriptcentral.com/jssam following the manuscript preparation instructions. To ensure consideration in the special issue, authors must include a cover letter that clearly states that the manuscript has been submitted for consideration for the special issue on “Survey Research from Asia-Pacific, Africa, the Middle East, Latin America, and the Caribbean.”  Queries about this special issue should be directed to Carolina Franco at franco-carolina@norc.org.

Announcements List

  • Virtual lunchtime meeting

    Join the Central Indiana Chapter for a virtual lunchtime meeting where our guest speaker will be Dr. Giorgos Bakoyannis from the Department of Biostatistics at the IU School of Medicine.
     
        date: Tuesday, February 04, 2025
        time: Noon - 1:00 ET
     
    title: Estimating optimal individualized treatment rules with multistate processes
     
    abstract:
    Multistate process data are common in studies of chronic diseases such as cancer. These data are ideal for precision medicine purposes as they can be leveraged to improve more refined health outcomes, compared to standard survival outcomes, as well as incorporate patient preferences regarding quantity versus quality of life. In this work, we propose a nonparametric outcome weighted learning approach for this problem in randomized clinical trial settings. The theoretical properties of the proposed methods, including Fisher consistency and asymptotic normality of the estimated expected outcome under the estimated optimal individualized treatment rule, are rigorously established. A consistent closed-form variance estimator is provided and methodology for the calculation of simultaneous confidence intervals is proposed. Simulation studies show that the proposed methodology and inference procedures work well even with small-sample sizes and high rates of right censoring. The methodology is illustrated using data from a randomized clinical trial on the treatment of metastatic squamous-cell carcinoma of the head and neck. Finally, we present an extension of the methodology for observational data where confounding and dependent right censoring are common.
     
    speaker:
    Giorgos Bakoyannis is an Associate Professor in the Department of Biostatistics and Health Data Science at Indiana University Indianapolis, where he also serves as the Director of Public Health Science Research. His methodological research focuses on precision medicine, specifically the development of methods for estimating optimal individualized treatment rules, and causal inference. Dr. Bakoyannis’ expertise also includes the nonparametric and semiparametric analysis of complex event history data, with a particular emphasis on challenges commonly encountered in biomedical and clinical research, such as missing data, misclassification, and interval censoring. His work has been published in leading statistical and biostatistical journals, including Biometrics, Biostatistics, and Statistica Sinica. Dr. Bakoyannis has received several awards from the American Statistical Association, the International Biometric Society – Eastern North American Region, and the International Chinese Statistical Association. He has also received funding from the National Institutes of Health (NIH) as a Principal Investigator to conduct methodological research.