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Quantitative Issues in Cancer Research Working Seminar
January 30, 2023 @ 1:00 pm - 1:50 pm
![](https://www.hsph.harvard.edu/biostatistics/wp-content/uploads/sites/59/2023/01/01-30-2023-Cancer-Working-Group-Seminar-1-pdf-791x1024.jpg)
Speaker: Anuraag Gopaluni, Doctoral Candidate, Department of Biostatistics, Harvard University (Canceled and will reschedule)
Title: Methods for accurate real-time estimates of death in the context of reporting delays
Abstract: State-level mortality data in the United States is subject to reporting delays of up to 18 weeks, causing gaps between reported and true mortality in the short-term. Existing methods for correcting gaps from reporting delays do not appropriately account for seasonality or time trends in prior lags. We use state-level CDC and DPH data from January 2015-December 2021 to develop a model that accurately predicts the true death count on a weekly basis, thereby reconciling the gap between reported and true deaths. Specifically, we built both a non-parametric model and an estimator based on empirical lag patterns that flexibly account for seasonality and trends to
obtain unbiased estimates of gaps with appropriate measures of uncertainty.