Results 51 to 60 of about 751 (132)

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, Gastwirth, Joseph L., Zheng, Gang   +2 more
core   +1 more source

Indirect inference for survival data [PDF]

, 2003
In this paper we describe the so-called “indirect” method of inference, originally developed from the econometric literature, and apply it to survival analyses of two data sets with repeated events.
Jiang, Wenxin, Turnbull, Bruce W.
core   +5 more sources

Analysing and Monitoring Surveillance Data of Mumps in Bulgaria [PDF]

, 2011
2000 Mathematics Subject Classification: 62P10.This paper aims to present the applicability of the Bayesian methodology for monitoring surveillance data collected for vaccine-preventable diseases, like mumps, measles and possibly others.
Kojouharova, M., Kurchatova, A., Mitova-Bobcheva, M., Slavtchova-Bojkova, M.   +3 more
core  

Model selection and sensitivity analysis for sequence pattern models

, 2008
In this article we propose a maximal a posteriori (MAP) criterion for model selection in the motif discovery problem and investigate conditions under which the MAP asymptotically gives a correct prediction of model size. We also investigate robustness of
Gupta, Mayetri
core   +1 more source

Generalized coarsened confounding for causal effects: a large-sample framework

Journal of Causal Inference
There 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
doaj   +1 more source

Beyond conditional averages: Estimating the individual causal effect distribution

Journal of Causal Inference
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation.
Post Richard A. J., van den Heuvel Edwin R.   +1 more
doaj   +1 more source

Incorporating patients' characteristics in cost-effectiveness studies with clinical trial data: a flexible Bayesian approach [PDF]

, 2004
Most published research on the comparison between medical treatment options merely compares the results (effectiveness and cost) obtained for each treatment group.
Negrín Hernández, Miguel Angel, Vázquez Polo, Francisco J.   +1 more
core  

A diagnostic to find and help combat stochastic positivity issues – with a focus on continuous treatments

Journal of Causal Inference
The positivity assumption is central in the identification of a causal effect. Especially its stochastic variant is an issue many applied researchers face.
Ring Katharina, Schomaker Michael
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
core  

Multiple testing procedures under confounding

, 2008
While multiple testing procedures have been the focus of much statistical research, an important facet of the problem is how to deal with possible confounding. Procedures have been developed by authors in genetics and statistics.
Ghosh, Debashis
core   +1 more source