Results 171 to 180 of about 4,677,840 (301)

Bayesian Model Selection for Derived Responses. [PDF]

Stat Med
Roy B, Lesaffre E.
europepmc   +1 more source

Dynamic survival risk prediction with time‐varying high‐dimensional images

Canadian Journal of Statistics, EarlyView.
Abstract Integrating longitudinal data with survival models is a prevalent strategy for dynamic survival risk prediction while accounting for subjects' longitudinally observed variables. However, existing methods primarily focus on scalar longitudinal data and seldom tackle the complexities associated with high‐dimensional longitudinal imaging data ...
Bingfan Liu, Haolun Shi, Shu Jiang, Liangliang Wang, Da Ma, Mirza Faisal Beg, Jiguo Cao, for the Alzheimer's Disease Neuroimaging Initiative   +7 more
wiley   +1 more source

Modeling the Sensitivity of Large-Scale Virtual Screening to Scoring Function Accuracy, Artifacts, and Library Composition. [PDF]

J Chem Inf Model
Moesgaard L, Shoichet BK, Mailhot O.
europepmc   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

The Impact of Model Misspecification on the Individual Causal Association in Surrogate Endpoint Evaluation. [PDF]

Pharm Stat
Deliorman G, Stijven F, Van der Elst W, Pardo MDC, Alonso A.   +4 more
europepmc   +1 more source

Vine copula knockoffs for variable selection in gene expression studies

Canadian Journal of Statistics, EarlyView.
Abstract Identifying clinical and genetic markers is essential for stratifying cancer patients by survival outcomes and guiding personalized treatment strategies. However, gene expression studies often involve high‐dimensional predictors with mixed data types and complex dependence, which complicates reliable variable selection.
José Ulises Márquez Urbina, Alejandro Román Vásquez, Graciela González Farías, Gabriel Escarela   +3 more
wiley   +1 more source

A Bayesian Local Gaussian-Copula Allocation Model for Bivariate Discrete-Time First-Event Data With Time-Dependent Covariates. [PDF]

Stat Med
Michimae H.
europepmc   +1 more source

A Bivariate Discrete Distribution from Freund Bivariate Exponential Distribution [PDF]

International Journal of Scientific Research in Mathematical and Statistical Sciences, 2018
openaire   +1 more source

Revisiting Fisher's n‐D statistical vision: From algebraic abstraction to modern visualization

Canadian Journal of Statistics, EarlyView.
Abstract We revisit early foundational results in mathematical statistics derived by Ronald A. Fisher. They involve sampling distributions of statistics calculated from independent and identically distributed Normal observations, namely the root mean square deviation; the mean absolute deviation, conditional on already knowing the value of the root ...
James A. Hanley
wiley   +1 more source

Patterns of Work-Related Musculoskeletal Disorders Among Dentists in Herat, Afghanistan: The Role of Ergonomics and Exercise. [PDF]

Int J Dent
Erfan O, Jaheed M, Take G.
europepmc   +1 more source