Results 201 to 210 of about 14,306 (259)

Epidemiology and genomics of azithromycin-resistant extensively drug-resistant <i>Salmonella enterica</i> serovar Typhimurium in Taiwan. [PDF]

open access: yesAntimicrob Agents Chemother
Hong Y-P   +8 more
europepmc   +1 more source

On Integral Priors for Multiple Comparison in Bayesian Model Selection

open access: yesInternational Statistical Review, EarlyView.
Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón   +2 more
wiley   +1 more source

Evolutionary history and transmission dynamics of dengue virus type 2 in Africa. [PDF]

open access: yesFront Microbiol
Bello MB   +4 more
europepmc   +1 more source

The Random Power Function for Tests Based on Pivotal Quantities

open access: yesInternational Statistical Review, EarlyView.
Summary In clinical trials planning, evaluation of the probability of success of an experiment is of central interest, for instance, in sample size determination. This assessment typically involves analyses of the power function of a test on a parameter of interest, such as a relevant treatment effect.
Fulvio De Santis   +2 more
wiley   +1 more source

Linking the Comparison and Graphical Approaches to Bipartite Matching

open access: yesInternational Statistical Review, EarlyView.
Summary Bipartite record linkage has the goal of identifying observations referring to the same individual, called coreferent observations, across two distinct non‐duplicated datasets. The two main approaches to solve this task are the Fellegi–Sunter model, which relies on pairwise comparisons of observations, and the graphical record linkage model ...
Edoardo Redivo
wiley   +1 more source

Goodness‐of‐Fit Tests for Positive Quadrant Dependence

open access: yesInternational Statistical Review, EarlyView.
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley   +1 more source

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