Multi-centre research in Australia:analysis of a recent National Health and Medical Research Council-funded project

BACKGROUND AND OBJECTIVE: Human research ethics committees provide essential review of research projects to ensure the ethical conduct of human research. Several recent reports have highlighted a complex process for successful application for human research ethics committee approval, particularly for multi-centre studies. Limited resources are available for the execution of human clinical research in Australia and around the world.

METHODS: This report overviews the process of ethics approval for a National Health and Medical Research Council-funded multi-centre study in Australia, focussing on the time and resource implications of such applications in 2007 and 2008.

RESULTS: Applications were submitted to 16 hospital and two university human research ethics committees. The total time to gain final approval from each committee ranged between 13 and 77 days (median = 46 days); the entire process took 16 months to complete and the research officer's time was estimated to cost $A34 143.

CONCLUSIONS: Obstacles to timely human research ethics committee approval are reviewed, including recent, planned and potential initiatives that could improve the ethics approval of multi-centre research.

Complexity of Inferences in Polytree-shaped Semi-Qualitative Probabilistic Networks

Semi-qualitative probabilistic networks (SQPNs) merge two important graphical model formalisms: Bayesian networks and qualitative probabilistic networks. They provide a very general modeling framework by allowing the combination of numeric and qualitative assessments over a discrete domain, and can be compactly encoded by exploiting the same factorization of joint probability distributions that are behind the Bayesian networks. This paper explores the computational complexity of semi-qualitative probabilistic networks, and takes the polytree-shaped networks as its main target. We show that the inference problem is coNP-Complete for binary polytrees with multiple observed nodes. We also show that inferences can be performed in linear time if there is a single observed node, which is a relevant practical case. Because our proof is constructive, we obtain an efficient linear time algorithm for SQPNs under such assumptions. To the best of our knowledge, this is the first exact polynomial-time algorithm for SQPNs. Together these results provide a clear picture of the inferential complexity in polytree-shaped SQPNs.

Belief Updating and Learning in Semi-Qualitative Probabilistic Networks

This paper explores semi-qualitative probabilistic networks (SQPNs) that combine numeric and qualitative information. We first show that exact inferences with SQPNs are NPPP-Complete. We then show that existing qualitative relations in SQPNs (plus probabilistic logic and imprecise assessments) can be dealt effectively through multilinear programming. We then discuss learning: we consider a maximum likelihood method that generates point estimates given a SQPN and empirical data, and we describe a Bayesian-minded method that employs the Imprecise Dirichlet Model to generate set-valued estimates.

An official American thoracic society research statement: Comparative effectiveness research in pulmonary, critical care, and sleep medicine

Background: Comparative effectiveness research (CER) is intended to inform decision making in clinical practice, and is central to patientcentered outcomes research (PCOR). Purpose: To summarize key aspects of CER definitions and provide examples highlighting the complementary nature of efficacy and CER studies in pulmonary, critical care, and sleep medicine. Methods: An ad hoc working group of the American Thoracic Society with experience in clinical trials, health services research, quality improvement, and behavioral sciences in pulmonary, critical care, and sleepmedicinewas convened. The group used an iterative consensus process, including a reviewbyAmerican Thoracic Society committees and assemblies. Results: The traditional efficacy paradigm relies on clinical trials with high internal validity to evaluate interventions in narrowly defined populations and in research settings. Efficacy studies address the question, "Can it work in optimal conditions?" The CER paradigm employs a wide range of study designs to understand the effects of interventions in clinical settings. CER studies address the question, "Does it work in practice?" The results of efficacy and CER studies may or may not agree. CER incorporates many attributes of outcomes research and health services research, while placing greater emphasis on meeting the expressed needs of nonresearcher stakeholders (e.g., patients, clinicians, and others). Conclusions: CER complements traditional efficacy research by placing greater emphasis on the effects of interventions in practice, and developing evidence to address the needs of the many stakeholders involved in health care decisions. Stakeholder engagement is an important component of CER. Copyright © 2013 by the American Thoracic Society.

A Zoologist with a Taste for the Past: The Earl of Cranbrook’s Contribution to Zooarchaeological Research in Southeast Asia

The Earl of Cranbrook (V) (then Lord Medway) was fi rst introduced to archaeological research in 1958 when he participated in excavations at the Niah Caves, Sarawak Borneo. In that same year he published a paper entitled ‘Food bone in Niah Cave excavations (-1958)’ in the Sarawak Museum Journal. Unbeknownst to him at the time, his individual and intuitive research was on a par with, if not methodologically ahead of, burgeoning studies in the fi eld of zooarchaeology that were taking place at leading academic institutions in Europe and the United States. This paper recounts and lauds the signifi cant contributions the Earl of Cranbrook has made to the establishment and furtherance of a discipline over more than 50 years. 

Research in Progress: Medical Research Council United Kingdom Refractory Asthma Stratification Programme (RASP-UK)

The UK Refractory Asthma Stratification Programme(RASP-UK) will explore novel biomarker stratificationstrategies in severe asthma to improve clinicalmanagement and accelerate development of newtherapies. Prior asthma mechanistic studies have notstratified on inflammatory phenotype and theunderstanding of pathophysiological mechanisms inasthma without Type 2 cytokine inflammation is limited.RASP-UK will objectively assess adherence tocorticosteroids (CS) and examine a novel compositebiomarker strategy to optimise CS dose; this will alsoaddress what proportion of patients with severe asthmahave persistent symptoms without eosinophilic airwaysinflammation after progressive CS withdrawal. There will be interactive partnership with the pharmaceutical industry to facilitate access to stratified populations for novel therapeutic studies.

Fusion of Static and Temporal Information for Threat Evaluation in Sensor Networks

In many CCTV and sensor network based intelligent surveillance systems, a number of attributes or criteria are used to individually evaluate the degree of potential threat of a suspect. The outcomes for these attributes are in general from analytical algorithms where data are often pervaded with uncertainty and incompleteness. As a result, such individual threat evaluations are often inconsistent, and individual evaluations can change as time elapses. Therefore, integrating heterogeneous threat evaluations with temporal influence to obtain a better overall evaluation is a challenging issue. So far, this issue has rarely be considered by existing event reasoning frameworks under uncertainty in sensor network based surveillance. In this paper, we first propose a weighted aggregation operator based on a set of principles that constraints the fusion of individual threat evaluations. Then, we propose a method to integrate the temporal influence on threat evaluation changes. Finally, we demonstrate the usefulness of our system with a decision support event modeling framework using an airport security surveillance scenario.