Statistics in Biosciences
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Control of Nonlinear Biological Systems by Non-minimal State Variable Feedback
Statistics in Biosciences - - 2014
Joint Models of Longitudinal Data and Recurrent Events with Informative Terminal Event
Statistics in Biosciences - Tập 4 - Trang 262-281 - 2012
This article presents semiparametric joint models to analyze longitudinal data
with recurrent events (e.g. multiple tumors, repeated hospital admissions) and a
terminal event such as death. A broad class of transformation models for the
cumulative intensity of the recurrent events and the cumulative hazard of the
terminal event is considered, which includes the proportional hazards model and
the p...
Information Sets and Excess Zeros in Random Effects Modeling of Longitudinal Data
Statistics in Biosciences - Tập 2 - Trang 81-94 - 2010
Marginal regression via generalized estimating equations is widely used in
biostatistics to model longitudinal data from subjects whose outcomes and
covariates are observed at several time points. In this paper we consider two
issues that have been raised in the literature concerning the marginal
regression approach. The first is that even though the past history may be
predictive of outcome, the ...
The Causal Effect of Educational Attainment on Completed Fertility for a Cohort of Danish Women—Does Feedback Play a Role?
Statistics in Biosciences - Tập 6 Số 2 - Trang 204-222 - 2014
A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data Within the Joint Modeling Framework
Statistics in Biosciences - Tập 14 - Trang 318-336 - 2021
In this paper, we propose a new partial borrowing-by-parts power prior for
carrying out the analysis of co-longitudinal and survival data within the joint
modeling framework. The borrowing-by-parts power prior facilitates borrowing the
information from a subset of the data, from a subset of the model parameters, or
from the different parts of the joint model. The deviance information criterion
is ...
Semiparametric Bayes Local Additive Models for Longitudinal Data
Statistics in Biosciences - Tập 7 - Trang 90-107 - 2013
In longitudinal data analysis, a great interest is in assessing the impact of
predictors on the time-varying trajectory in a response variable. In such
settings, an important issue is to account for heterogeneity in the shape of the
trajectory among subjects, while allowing the impact of the predictors to vary
across subjects. We propose a flexible semiparametric Bayesian approach for
addressing t...
Bayesian Joint Analysis of Gene Expression Data and Gene Functional Annotations
Statistics in Biosciences - Tập 4 - Trang 300-318 - 2012
Identifying which genes and which gene sets are differentially expressed (DE)
under two experimental conditions are both key questions in microarray analysis.
Although closely related and seemingly similar, they cannot replace each other,
due to their own importance and merits in scientific discoveries. Existing
approaches have been developed to address only one of the two questions.
Further, most...
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