Statistical Methodology Research and Development Program Achievements, 2020/2021
6. Research papers sponsored by the Methodology Research and Development Program
American Statistical Association (2021). Time Series and Seasonal Adjustment Estimation During the COVID-19 Pandemic. Round-table discussion hosted by the Government Statistics Section, https://community.amstat.org/governmentstatisticssection/professionaldevelopmentmentoring/virtualworkshoppracticumfall2020349.
Arim, R., Hennessey, D. and Molladavoudi, S. (2021). Data, data analytics and data science at Statistics Canada during Covid-19 pandemic. Presented at Nexus 2021 Data Science Conference, University of Manitoba.
Bahamyirou, A. (2021). Data integration through outcome adaptive LASSO and a collaborative propensity score. Internal report, Statistics Canada.
Beaulieu, M., and Lebrasseur, D. (2021). « Measuring and Communicating Quality for Programs Using Administrative Data Sources Exclusively ». Presented at the forthcoming European Establishment Statistics Workshop.
Beaumont, J.-F., Bocci, C. and St-Louis, M. (2021). Bootstrap estimation of the conditional bias for measuring influence in complex surveys. Submitted for possible publication in a peer-reviewed statistical journal.
Beaumont, J.-F., and Chu, K. (2020). Statistical data integration through classification trees. Paper presented at the Advisory Committee on Statistical Methods, June 2020, Statistics Canada.
Beaumont, J.-F., and Rao, J.N.K. (2021). Pitfalls of making inferences from non-probability samples: Can data integration through probability samples provide remedies? The Survey Statistician, 83, 11-22.
Blais, A.-R., Mach, L., Michaud, I. and Simard, J.-F. (2020). Analysis of the Public Service Employee Survey Items as Measures of the Psychosocial Risk Factors. Presentation to the Workplace Mental Health Performance Measurement Steering Committee, October 7, 2020.
Blais, A.-R., Michaud, I., Simard, J.-F., Mach, L. and Houle, S. (2021). Measuring Workplace Psychosocial Factors in the Federal Government. Submitted to Health Reports.
Bocci, C., Morissette, R. and Beaumont, J.-F. (2020). Overview of small area estimation methods used for the estimation of mean liquid assets. Internal report, Statistics Canada.
Bosa, K., and Chu, K. (2020). Ottawa COVID-19 Hospital Occupancy Forecasts – Final Report. Internal report (shared with Health Canada collaborators), Statistics Canada.
Chatrchi, G., and Ding, A. (2021). Combining survey data with crowdsourced data using small area estimation techniques, Social Statistics Methods Division working paper, SSMD-2021-02E, Statistics Canada.
Dasylva, A., and Goussanou, A. (2020). Estimating linkage errors under regularity conditions. In Proceedings of the Survey Research Methods Section, American Statistical Association.
Dasylva, A., and Goussanou, A. (2021). Estimating the false negatives due to blocking. Survey Methodology (to appear in the December 2021 issue).
Data Analysis Resource Centre (2020a). Data Visualization - Best practices. Internal document, Modern Statistical Methods and Data Science, Statistics Canada.
Data Analysis Resource Centre (2020b). Measuring Culture of Accessibility, A Brief Introduction to Factor Analysis. Presentation to the Accessibility Culture Goal Working Group, May 1, 2020.
Denis, N., El-Hajj, A., Drummond, B., Abiza, Y. and Gopaluni, K.C. (2021). Learning COVID-19 Mitigation Strategies using Reinforcement learning. Chapter to appear in an upcoming Springer book.
Estevao, V.M. (2021). Robust Estimation - Parameter Description and User Guide, Methodology Specifications. Statistics Canada internal document.
Gilchrist, P. (2020). Public Use Microdata Files and Business Data: A Summary of Challenges for Confidentiality. Internal Paper, Statistics Canada.
Gray, D. (2020a). Evaluation of some imputation methods for monthly industry surveys using the Evaluation Framework and Visualisation. Internal document presented to the Modern Statistical Methods Branch Scientific Review Committee, Statistics Canada.
Gray, D. (2020b). Evaluating Imputation Methods using ImpACT: First Case Study. Presented at the United Nations Statistical Commission and Economic Commission for Europe – Workshop on Statistical Data Editing. https://unece.org/statistics/events/SDE2020.
Hidiroglou, M. A. (2020). Wilson Intervals for Proportions and Counts. Internal document, Statistics Canada.
Lesage, É., Beaumont, J.-F. and Bocci, C. (2021). Two local diagnostics to evaluate the efficiency of the empirical best predictor under the Fay-Herriot model. Survey Methodology, 47 (to appear).
Mach, L., and Michaud, I. (2020). Statistical Modelling with Complex Survey Data – Linear Regression. Session 1 of Statistical Modelling Course, Statistical Talent Development Working Group, Modern Statistical Methods and Data Science, Statistics Canada.
Matthews, S. (2020a). Over-arching principals for the Statistical Generalized Systems. Internal document presented to the Statistical Generalized Systems Steering Committee, Statistics Canada.
Matthews, S. (2020b). Strategy for Development of Advance Indicator. Internal document presented to the Data to Information: Modern Methods Committee, Statistics Canada.
Matthews, S. (2021a). Updated Generalized Systems Evolution Plan. Internal document presented to the Statistical Generalized Systems Steering Committee, Statistics Canada.
Matthews, S. (2021b). Guidelines for Advance Indicators of Official Statistics. Internal document presented to the Data to Information: Modern Methods Committee.
Matthews, S., Patak, Z. and Picard, F. (2020). Time Series Modelling to Produce Economic Indicators in (near) Real-time. Presented to Statistics Canada’s Advisory Committee on Statistical Methods.
Matthews, S., and Ritter, C. (2020). Building a better nowcast – towards a real-time modelling environment. Presentation to Statistics Canada’s Corporate Research and Development board.
Neusy, E., Beaumont, J.-F., Yung, W., Hidiroglou, M. and Haziza, D. (2021). Non-response follow-up for business surveys. Submitted for possible publication in a peer-reviewed journal.
Neusy, E. (2021). Wilson Confidence Intervals for Proportions and Totals of Binary Variables Using Complex Survey Data. Internal document, Statistics Canada.
Picard, F. (2020). SARIMA models for early estimates of energy balance statistics. Article presented to the United Nations Economic Commission for Europe – High level group on Modernizing Official Statistics.
Picard, F. (2021). A comparison between PROC BENCHMARKING and the R package TEMPDISAGG. Internal document, Statistics Canada.
Poirier, G., Chatrchi, G. and Wang, Y. (2021) Integrating survey data and crowdsourced data: Sample Matching method, Social Statistics Methods Division working paper (review in progress), Statistics Canada.
Reicker, K. (2020). Perceptions of data sensitivity, pilot study with questionnaire testing participants. Internal report, Statistics Canada.
Renaud, M., and Beaumont, J.-F. (2020). Crowdsourcing during a pandemic: the Statistics Canada experience. Paper to be presented at the Advisory Committee on Statistical Methods, October 2020, Statistics Canada.
Sallier, K. (2020). Toward More User-Centric Data Access Solutions: Producing Synthetic Data of High Analytical Value by Data Synthesis. Statistical Journal of the International Association for Official Statistics, 36, 1059-1066.
Sallier, K. (2021). Statistics Canada’s experience creating public synthetic datasets using the FCS and the Synthpop Package. Presentation to the HLG-MOS Synthetic Data Guide working group.
Savard, S.-A. (2020). Intervalles de confiance pour les comptes estimés au questionnaire long du recensement. Présentation au Comité d’examen scientifique, 2 octobre 2020.
Savard, S.-A. (2021). Intervalle de confiance pour les comptes estimés. Rapport interne, Statistique Canada.
Statistics Canada (2020). G-EST 2.03.002 User Guide. Internal document, Statistics Canada.
Statistics Canada (2021). BANFF version 2.08 User Guide. Internal document, Statistics Canada.
You, Y. (2021a). Evaluation of robust small area estimation using normal and t distribution models. ICMIC internal research report, Statistics Canada.
You, Y. (2021b). Small area estimation using Fay-Herriot area level model with sampling variance smoothing and modeling. Survey Methodology, 47 (to appear in the December issue).
You, Y. (2021c). A Bayesian approach to regression estimation and prediction inference for survey data analysis. ICMIC internal research report, Statistics Canada.
Zanussi, Z., Santos, B. and Molladavoudi, S. (2021), Supervised text classification with leveled homomorphic encryption. To appear in: Proceedings of the 63rd ISI World Statistics Congress.
Zhao, Z. (2021). Exploring available tools to generate synthetic data with high analytical value: R packages synthpop and simPop. Co-op report, directed by H. Gauvin. Internal document, Statistics Canada.
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