Article
Ecology
Pietro Tirozzi, Valerio Orioli, Olivia Dondina, Leila Kataoka, Luciano Bani
Summary: The assessment of population trends is vital in wildlife conservation. This study aims to address the effects of environmental bias, overdispersion, and zero inflation on trend estimates. The results highlight the importance of accounting for environmental bias and considering overdispersion and zero inflation to obtain reliable population trend estimates.
ECOLOGICAL INFORMATICS
(2022)
Article
Biology
Arman Oganisian, Nandita Mitra, Jason A. Roy
Summary: The paper introduces a versatile Bayesian nonparametric model for continuous zero-inflated outcomes, predicting structural zeros, capturing skewness, and clustering patients with similar data distributions.
Article
Multidisciplinary Sciences
Hayden R. Davis, Simone Des Roches, Roger A. Anderson, Adam D. Leache
Summary: This study investigates the population dynamics and genetic structure of Western Fence Lizards at the edge of their distributional range. The findings suggest that the establishment and expansion of populations in this region were influenced by glacial retreat and habitat requirements. The study also reveals the presence of distinct genetic subpopulations in the Puget Sound area, with minimal morphological differentiation.
SCIENTIFIC REPORTS
(2022)
Article
Microbiology
Lu Yang, Jun Chen
Summary: This study provides a comprehensive evaluation of existing differential abundance analysis (DAA) tools, revealing that none of the evaluated methods are simultaneously robust, powerful, and flexible. To overcome the challenge of selecting the best DAA tool, the researchers designed an optimized procedure called ZicoSeq, which combines the strengths of existing methods and can be applied to diverse microbiome datasets for robust biomarker discovery.
Article
Mathematics
Weiyan Mu, Xin Wang, Chunya Li, Shifeng Xiong
Summary: This paper proposes a dynamic model based on automated data from AFC and AVL systems to quantitatively describe metro passenger flows on congested transfer routes. The model can infer important characteristics such as transfer time, boarding probabilities, walking time, passenger-to-train assignment probabilities, and total travel time using only AFC and AVL data. A case study on the Beijing metro is provided, and a cross-validation method with real data is presented to validate the model.
Article
Statistics & Probability
Yanyan Zeng, Hongyu Zhao, Tao Wang
Summary: ZIPPCA is a novel method for dimension reduction and ordination of multivariate abundance data, with superior performance demonstrated through extensive simulations and application to real datasets.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
(2021)
Article
Mathematics
Hanns de la Fuente-Mella, Claudio Elortegui-Gomez, Benito Umana-Hermosilla, Marisela Fonseca-Fuentes, Gonzalo Rios-Vasquez
Summary: This study proposes forecast models for fire measurements using time-series data from the Chilean Ministry of Agriculture. The best models for predicting the number of fires and affected surface are determined to be double exponential smoothing for the deterministic method and ARIMA and SARIMA models for the stochastic approach.
Article
Biology
Jiyuan Hu, Chan Wang, Martin J. Blaser, Huilin Li
Summary: Recent studies have shown that the temporal dynamics of the human microbiome may be associated with human health and disease. To address the skewed and sparse nature of microbiome proportion data, a novel joint modeling framework called JointMM is proposed. This framework effectively captures the temporal structure of microbial proportions and examines the association between microbial presence and/or nonzero proportions and the time to an event. Comprehensive simulations and real data analyses validate the statistical efficiency and interpretability of JointMM.
Article
Statistics & Probability
Hayala Cristina Cavenague de Souza, Francisco Louzada, Mauro Ribeiro de Oliveira, Bukola Fawole, Adesina Akintan, Lawal Oyeneyin, Wilfred Sanni, Gleici da Silva Castro Perdona
Summary: Understanding the association between women's features and childbirth is crucial in obstetrics and gynecology. Time is an important variable that can be described using survival models. When modeling, consideration needs to be given to factors such as fetal death and interventions that may impact the duration of labor.
JOURNAL OF APPLIED STATISTICS
(2022)
Article
Agronomy
Osvaldo A. Martin, Francois P. Teste
Summary: Many applied disciplines, including biology, have recognized problems related to data analysis practice, causing a statistical crisis. The unclear understanding of statistical tools and interpretation is a main issue, as well as the way data analysis is taught and reported. This opinion paper offers feasible solutions to improve statistical practices in the field of plant-soil sciences.
Article
Ecology
Zachary Amir, Adia Sovie, Matthew Scott Luskin
Summary: Predator-prey dynamics are fundamental to ecology, but studying interactions directly is difficult. We developed a Bayesian hierarchical model that can infer predator-prey interactions and account for differences and uncertainties. Using this model, we analyzed camera trapping datasets from tropical forest landscapes in Southeast Asia and estimated four predator-prey relationships.
ECOLOGY AND EVOLUTION
(2022)
Article
Mathematical & Computational Biology
Juned Siddique, Michael J. Daniels, Gul Inan, Samuel Battalio, Bonnie Spring, Donald Hedeker
Summary: This study proposes a novel joint modeling framework for modeling the number and duration of physical activity bouts. The model allows estimation of how the number and duration of physical activity bouts vary together over the course of an intervention and by treatment condition, specifically capturing the unique features of physical activity measured by accelerometers.
STATISTICS IN MEDICINE
(2023)
Article
Psychology, Educational
Sooyong Lee, Suhwa Han, Seung W. Choi
Summary: This study proposes a DIF detection procedure for response data with excess zeros, utilizing factor mixture modeling to address compromised detection power. Simulation results indicate the superiority of FMM over the LR DIF test in terms of detection power.
EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
(2022)
Article
Multidisciplinary Sciences
Rachid Muleia, Marc Aerts, Christel Faes
Summary: The study investigated the spatial heterogeneity of the Ebola outbreak in Sierra Leone in 2014 using a stochastic SEIR model, and found differences in transmission rates among districts. Bayesian estimation revealed potential persistence of the outbreak or likelihood of new cases in certain districts.
Article
Mathematical & Computational Biology
Biyi Shen, Chixiang Chen, Danping Liu, Somnath Datta, Nasrollah Ghahramani, Vernon M. Chinchilli, Ming Wang
Summary: This study proposes a novel joint modeling approach to address zero-inflated and informative cluster size as well as a terminal event in longitudinal data. Parameter estimation and inference are conducted using a three-stage semiparametric likelihood-based approach, with extensive simulations to evaluate performance. The ASSESS-AKI study is utilized for demonstration of the proposed method.
STATISTICS IN MEDICINE
(2021)
Article
Fisheries
Nekuie A. Fard, M. Afsharnasab, M. Seidgar, S. Kakoolaki, D. Azadikhah, A. Asem
IRANIAN JOURNAL OF FISHERIES SCIENCES
(2015)
Article
Fisheries
A. SamCookiyaei, M. Afsharnasab, V Razavilar, A. A. Motalebi, S. Kakoolaki, Y. Asadpor, M. Y. Yahyazade, Nekuie A. Fard
IRANIAN JOURNAL OF FISHERIES SCIENCES
(2012)
Article
Fisheries
Nekuie A. Fard, A. A. Motalebi, Jalali B. Jafari, Aghazadeh M. Meshgi, D. Azadikhah, M. Afsharnasab
IRANIAN JOURNAL OF FISHERIES SCIENCES
(2011)
Article
Zoology
Ali Nekuie Fard, Stuart R. Gelder
ACTA ZOOLOGICA BULGARICA
(2011)