PubMed Health⌕ Search

PubMed · 14993358

Science for the common good.

Abstract

A smile comes easily to the face of Anthony Fauci, Director of the National Institute of Allergy and Infectious Diseases, as he encounters visitors to his offices at the Institute. He does not, however, allow himself to be distracted from his duties for longer than it takes to nod warmly. The sense of discipline and the determination and preparedness that were instilled in him through a Jesuit course of education are apparent. He is as direct and as clear spoken in person as you've seen him on television, speaking on innumerable occasions over the past two decades about the pathology and treatment of AIDS, and more recently, delineating the public health from the national security issues precipitated by the bioterrorist events of the past year. The three office assistants who occupy his reception area have been particularly taxed in the management of Fauci's schedule since 9/11; as they pause briefly from their work to share photographs of a friend's recent wedding, Fauci is there to admonish them, semi-good-naturally, as government employees, to return to their official duties. He has been meeting with high government officials and has been courted by the media for interviews regularly since the tragedies began. Given his high profile, it is easy to forget that Fauci is, foremost, a clinical immunobiologist and physician. His dedication to science is part of his commitment to public service, also a value instilled in him by the Jesuits. Fortunately for all of us, Fauci was pursuing this combination of interests--within the venue of bioterrorism--in his official capacity at the NIAID well before the general public had awaken to the threat.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Anthony Fauci. 2002. Science for the common good.. https://doi.org/10.1124/mi.2.1.17

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Covariates missing by design: comparison of the efficient score to other weighted methods.

This paper addresses the modelling of missing covariate data with the logistic regression model. The aim of this paper is to evaluate the properties of an efficient score for logistic regression in a two-phase design. Simulation studies show that the efficient score is more efficient than two other pseudo-likelihood methods when the correlation between the missing covariate and its surrogate is high or the sampling proportion is small. These methods are illustrated with data from the National Wilms Tumor Study Group. Results from the example confirm the simulation study findings with the exception that the pseudo-likelihood approach produces more reliable estimates than the weighted pseudo-likelihood approach.

Biomedical Research↗

Tree-based model checking for logistic regression.

A tree procedure is proposed to check the adequacy of a fitted logistic regression model. The proposed method not only makes natural assessment for the logistic model, but also provides clues to amend its lack-of-fit. The resulting tree-augmented logistic model facilitates a refined model with meaningful interpretation. We demonstrate its use via simulation studies and an application to the Pima Indians diabetes data.

Biomedical Research↗

Evidence-based analysis of physical therapy in Parkinson's disease with recommendations for practice and research.

Physical therapy is often prescribed in Parkinson's disease. To facilitate the uniformity and efficacy of this intervention, we analyzed current evidence and developed practice recommendations. We carried out an evidence-based literature review. The results were supplemented with clinical expertise and patient values and translated into practice recommendations, developed according to international standards for guideline development. A systematic literature search yielded 6 systematic reviews and 23 randomized controlled trials of moderate methodological quality with sufficient data. Six specific core areas for physical therapy were identified: transfers, posture, reaching and grasping, balance, gait, and physical capacity. We extracted four specific treatment recommendations that were based on evidence from more than two controlled trials: cueing strategies to improve gait; cognitive movement strategies to improve transfers; exercises to improve balance; and training of joint mobility and muscle power to improve physical capacity. These practice recommendations provide a basis for current physical therapy in Parkinson's disease in everyday clinical practice, as well as for future research in this field.

Biomedical Research↗