Add to ORKGA recent study published in the New England Journal of Medicine by the Asthma Clinical Research Network (ACRN) compared three different treatments for their effectiveness in treating adults with uncontrolled asthma. This paper will describe the study design and its results, then detail the beginnings of a secondary analysis using Bayesian methods to estimate the parameters of interest. The methods will be explained, and the preliminary estimates given and contextualized. The paper will conclude with a discussion of the next steps and the goals for further analysis of the data in this study
Meta-analysis enables researchers to combine the results of several studies to assess the informatio...
Asthma is a respiratory disease which carries a risk of hospitalisation in severe cases. Numerous st...
Objectives The objective of this systematic review is to investigate the use of Bayesian data analys...
© 2016 Michael Luke WalkerAsthma is a highly prevalent and often serious condition causing significa...
The object of this paper is to re-analyse the results of Falliers et al.(1991) concerning the anti-a...
The aim of the current article is to provide a brief introduction to Bayesian statistics within the ...
The identification of phenotypes of asthma has a long history, but previous classifications have not...
Abstract Objective The achievement of the optimal control of the disease is of cardinal importance i...
Introduction: Evaluating effects of behavior change interventions is a central interest in health ps...
Copyright © the authors 2018. Several studies have established tools to forecast asthma but their cl...
Thesis (Ph.D.)--University of Washington, 2012Bayesian statistical methods permit the incorporation ...
Introduction Evaluating effects of behavior change interventions is a central interest in health psy...
Meta-analysis refers to the collection and subsequent statistical analysis of results from numerous ...
When the disease is rare and/or the outcome is uncommon the trial design does not warrant precise an...
Background: A number of models based on clinical parameters have been used for the prediction of ast...
Meta-analysis enables researchers to combine the results of several studies to assess the informatio...
Asthma is a respiratory disease which carries a risk of hospitalisation in severe cases. Numerous st...
Objectives The objective of this systematic review is to investigate the use of Bayesian data analys...
© 2016 Michael Luke WalkerAsthma is a highly prevalent and often serious condition causing significa...
The object of this paper is to re-analyse the results of Falliers et al.(1991) concerning the anti-a...
The aim of the current article is to provide a brief introduction to Bayesian statistics within the ...
The identification of phenotypes of asthma has a long history, but previous classifications have not...
Abstract Objective The achievement of the optimal control of the disease is of cardinal importance i...
Introduction: Evaluating effects of behavior change interventions is a central interest in health ps...
Copyright © the authors 2018. Several studies have established tools to forecast asthma but their cl...
Thesis (Ph.D.)--University of Washington, 2012Bayesian statistical methods permit the incorporation ...
Introduction Evaluating effects of behavior change interventions is a central interest in health psy...
Meta-analysis refers to the collection and subsequent statistical analysis of results from numerous ...
When the disease is rare and/or the outcome is uncommon the trial design does not warrant precise an...
Background: A number of models based on clinical parameters have been used for the prediction of ast...
Meta-analysis enables researchers to combine the results of several studies to assess the informatio...
Asthma is a respiratory disease which carries a risk of hospitalisation in severe cases. Numerous st...
Objectives The objective of this systematic review is to investigate the use of Bayesian data analys...