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Journal of Applied Statistics|August 2, 2023
On evolution model for SARS-Cov-2-infected population: the case of New ZealandEstate Khmaladze, Giorgi KvizhinadzeJournal of Applied Statistics|August 2, 2023
Exact inference for disease prevalence based on a test with unknown specificity and sensitivityBryan Cai, John P A Ioannidis, Eran Bendavid, et al.Journal of Applied Statistics|August 2, 2023
Point process models for COVID-19 cases and deathsÁlvaro Gajardo, Hans-Georg MüllerJournal of Applied Statistics|August 2, 2023
Identifying the cycles in COVID-19 infection: the case of TurkeyYılmaz Akdi, Yunus Emre Karamanoğlu, Kamil Demirberk Ünlü, et al.Journal of Applied Statistics|August 2, 2023
Latent trait models for perceived risk assessment using a Covid-19 data surveyS Bacci, R Fabbricatore, Maria IannarioJournal of Applied Statistics|July 12, 2023
A hierarchical Bayesian approach for modeling the evolution of the 7-day moving average of the number of deaths by COVID-19E F Saraiva, L Sauer, C A B PereiraJournal of Applied Statistics|June 28, 2023
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecastingXin Zhao, Stuart Barber, Charles C Taylor, et al.Journal of Applied Statistics|June 28, 2023
Evaluation of phase I clinical trial designs for combinational agents along with guidance based on simulation studiesShu Wang, Elias Sayour, Ji-Hyun LeeJournal of Applied Statistics|March 6, 2020
Quantile Regression Modeling of Latent Trajectory Features with Longitudinal DataHuijuan Ma, Limin Peng, Haoda FuJournal of Applied Statistics|August 24, 2019
Spatial Bayesian modeling of GLCM with application to malignant lesion characterizationXiao Li, Michele Guindani, Chaan S Ng, et al.Pageof 123