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Journal of Applied Statistics
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August 2, 2023
Point process models for COVID-19 cases and deaths
Álvaro Gajardo, Hans-Georg Müller
Journal of Applied Statistics
|
August 2, 2023
Identifying the cycles in COVID-19 infection: the case of Turkey
Yılmaz 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 survey
S Bacci, R Fabbricatore, Maria Iannario
Journal 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-19
E F Saraiva, L Sauer, C A B Pereira
Journal of Applied Statistics
|
June 28, 2023
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting
Xin 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 studies
Shu Wang, Elias Sayour, Ji-Hyun Lee
Journal of Applied Statistics
|
March 6, 2020
Quantile Regression Modeling of Latent Trajectory Features with Longitudinal Data
Huijuan Ma, Limin Peng, Haoda Fu
Journal of Applied Statistics
|
August 24, 2019
Spatial Bayesian modeling of GLCM with application to malignant lesion characterization
Xiao Li, Michele Guindani, Chaan S Ng, et al.
Journal of Applied Statistics
|
October 10, 2022
A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies
Jung Yeon Park, Melanie M Wall, Irini Moustaki, et al.
Journal of Applied Statistics
|
September 12, 2022
Semiparametric zero-inflated Bernoulli regression with applications
Chin-Shang Li, Minggen Lu
Page
of 119
Search research articles
Search
Showing results (421-430 of 1,188) with videos related to
Sort By:
Page
of 119
Journal of Applied Statistics
|
August 2, 2023
Point process models for COVID-19 cases and deaths
Álvaro Gajardo, Hans-Georg Müller
Journal of Applied Statistics
|
August 2, 2023
Identifying the cycles in COVID-19 infection: the case of Turkey
Yılmaz 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 survey
S Bacci, R Fabbricatore, Maria Iannario
Journal 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-19
E F Saraiva, L Sauer, C A B Pereira
Journal of Applied Statistics
|
June 28, 2023
Spatio-temporal forecasting using wavelet transform-based decision trees with application to air quality and covid-19 forecasting
Xin 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 studies
Shu Wang, Elias Sayour, Ji-Hyun Lee
Journal of Applied Statistics
|
March 6, 2020
Quantile Regression Modeling of Latent Trajectory Features with Longitudinal Data
Huijuan Ma, Limin Peng, Haoda Fu
Journal of Applied Statistics
|
August 24, 2019
Spatial Bayesian modeling of GLCM with application to malignant lesion characterization
Xiao Li, Michele Guindani, Chaan S Ng, et al.
Journal of Applied Statistics
|
October 10, 2022
A Joint Modeling Approach for Longitudinal Outcomes and Non-ignorable Dropout under Population Heterogeneity in Mental Health Studies
Jung Yeon Park, Melanie M Wall, Irini Moustaki, et al.
Journal of Applied Statistics
|
September 12, 2022
Semiparametric zero-inflated Bernoulli regression with applications
Chin-Shang Li, Minggen Lu
Page
of 119