ascopubs.org

Predicting symptom complexity: Using autoregressive integrated moving average (ARIMA) models to create responsive clinic scheduling.

Impact of COVID19 pandemic on the hospitalization burden of cancer patients: Results of a quasi-experimental study. This is an ASCO Meeting Abstract from the 2021 ASCO Annual Meeting I. This abstract ...
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Testing for a Moving Average Unit Root in Autoregressive Integrated Moving Average Models

Test procedures for detecting overdifferencing or a moving average unit root in Gaussian autoregressive integrated moving average (ARIMA) models are proposed. The tests can be used when an ...
ascopubs.org

Is the incidence of breast cancer increasing? Using the NCDB and autoregressive integrated moving average models (ARIMA) to forecast breast cancer to 2030.

Meta-analysis and single-center experience on the comprehensive genomic characterization and landscape of BRCA1 and BRCA2 in Turkey. This is an ASCO Meeting Abstract from the 2020 ASCO Annual Meeting ...