Discovery of critical thresholds in mixed exposures and estimation of policy intervention effects
Journal of Causal InferenceRegulations of chemical exposures often focus on individual substances, neglecting the amplified toxicity that can arise from multiple concurrent exposures.
McCoy David B. +3 more
doaj +1 more source
Classification of Smoking Cessation Status Using Various Data Mining Methods [PDF]
, 2010 AMS Subj. Classification: 62P10, 62H30, 68T01This study examines different approaches of binary classification applied to the prob- lem of making distinction between former and current smokers.
Kartelj, Aleksandar
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Comparison of robust tests for genetic association using case-control studies
, 2006 In genetic studies of complex diseases, the underlying mode of inheritance is often not known. Thus, the most powerful test or other optimal procedure for one model, e.g. recessive, may be quite inefficient if another model, e.g.
Freidlin, Boris +2 more
core +1 more source
A Gibbs approach to Chargaff's second parity rule
, 2011 Chargaff's second parity rule (CSPR) asserts that the frequencies of short polynucleotide chains are the same as those of the complementary reversed chains.
A. Hart +17 more
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A Test of Association between Qualitative Trait and a Set of SNPs [PDF]
, 2007 2000 Mathematics Subject Classification: 62P10, 92D10, 92D30, 62F03In this article, we propose a novel candidate-gene association test that utilizes a set of tightly linked single nucleotide polymorphisms (SNPs).
Milanov, Valentin, Nickolov, Radoslav
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Using a Bayesian change-point statistical model with autoregressive terms to study the monthly number of dispensed asthma medications by public health services [PDF]
, 2018 In this paper, it is proposed a Bayesian analysis of a time series in the presence of a random change-point and autoregressive terms. The development of this model was motivated by a data set related to the monthly number of asthma medications dispensed ...
Casale Aragon, Davi +4 more
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Asymmetry tests for Bifurcating Auto-Regressive Processes with missing data
, 2011 We present symmetry tests for bifurcating autoregressive processes (BAR) when some data are missing. BAR processes typically model cell division data. Each cell can be of one of two types \emph{odd} or \emph{even}.
de Saporta, Benoîte +2 more
core +3 more sources
Quantifying and estimating additive measures of interaction from case-control data
, 2017 In this paper we develop a general framework for quantifying how binary risk factors jointly influence a binary outcome. Our key result is an additive expansion of odds ratios as a sum of marginal effects and interaction terms of varying order.
Alfredsson, Lars +5 more
core +1 more source
Journal of Causal InferenceUnderstanding the complex interactions among multiple environmental exposures is critical for assessing their combined impact on health outcomes. This study introduces InterXshift, a novel semiparametric method that provides a nonparametric definition of
McCoy David B. +3 more
doaj +1 more source
Generalized coarsened confounding for causal effects: a large-sample framework
Journal of Causal InferenceThere has been widespread use of causal inference methods for the rigorous analysis of observational studies and to identify policy evaluations. In this article, we consider a class of generalized coarsened procedures for confounding.
Ghosh Debashis, Wang Lei
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