Zobrazeno 1 - 10
of 372
pro vyhledávání: '"Nakagawa, Tomoyuki"'
A measure of asymmetry is a quantification method that allows for the comparison of categorical evaluations before and after treatment effects or among different target populations, irrespective of sample size. We focus on square contingency tables t
Externí odkaz:
http://arxiv.org/abs/2410.15874
When the row and column variables consist of the same category in a two-way contingency table, it is specifically called a square contingency table. Since it is clear that the square contingency tables have an association structure, a primary objecti
Externí odkaz:
http://arxiv.org/abs/2410.00300
In observational studies, the propensity score plays a central role in estimating causal effects of interest. The inverse probability weighting (IPW) estimator is commonly used for this purpose. However, if the propensity score model is misspecified,
Externí odkaz:
http://arxiv.org/abs/2404.09414
Multivariate data having both continuous and discrete variables is known as mixed outcomes and has widely appeared in a variety of fields such as ecology, epidemiology, and climatology. In order to understand the probability structure of multivariate
Externí odkaz:
http://arxiv.org/abs/2312.12710
Autor:
Orihara, Shunichiro, Sugasawa, Shonosuke, Ohigashi, Tomohiro, Nakagawa, Tomoyuki, Taguri, Masataka
In observational studies, unmeasured confounders present a crucial challenge in accurately estimating desired causal effects. To calculate the hazard ratio (HR) in Cox proportional hazard models for time-to-event outcomes, two-stage residual inclusio
Externí odkaz:
http://arxiv.org/abs/2312.02404
In a two-way contingency table analysis with explanatory and response variables, the analyst is interested in the independence of the two variables. However, if the test of independence does not show independence or clearly shows a relationship, the
Externí odkaz:
http://arxiv.org/abs/2307.02760
Autor:
Momozaki, Tomotaka, Nakagawa, Tomoyuki
Ordinal response model is a popular and commonly used regression for ordered categorical data in a wide range of fields such as medicine and social sciences. However, it is empirically known that the existence of ``outliers'', combinations of the ord
Externí odkaz:
http://arxiv.org/abs/2305.07553
Autor:
Momozaki, Tomotaka, Nakagawa, Tomoyuki
This study deals with the problem of outliers in ordinal response model, which is a regression on ordered categorical data as the response variable. ``Outlier" means that the combination of ordered categorical data and its covariates is heterogeneous
Externí odkaz:
http://arxiv.org/abs/2209.11965
Various measures in two-way contingency table analysis have been proposed to express the strength of association between row and column variables in contingency tables. Tomizawa et al. (2004) proposed more general measures, including Cram\'er's coeff
Externí odkaz:
http://arxiv.org/abs/2204.11442
We consider modeling and prediction of Capelin distribution in the Barents sea based on zero-inflated count observation data that vary continuously over a specified survey region. The model is a mixture of two components; a one-point distribution at
Externí odkaz:
http://arxiv.org/abs/2111.00964