Literature DB >> 23425984

Strategies for developing biostatistics resources in an academic health center.

Leah J Welty1, Rickey E Carter, Dianne M Finkelstein, Frank E Harrell, Christopher J Lindsell, Maurizio Macaluso, Madhu Mazumdar, Paul J Nietert, Robert A Oster, Brad H Pollock, Paula K Roberson, James H Ware.   

Abstract

Biostatistics--the application of statistics to understanding health and biology-provides powerful tools for developing research questions, designing studies, refining measurements, analyzing data, and interpreting findings. Biostatistics plays an important role in health-related research, yet biostatistics resources are often fragmented, ad hoc, or oversubscribed within academic health centers (AHCs). Given the increasing complexity and quantity of health-related data, the emphasis on accelerating clinical and translational science, and the importance of conducting reproducible research, the need for the thoughtful development of biostatistics resources within AHCs is growing.In this article, the authors identify strategies for developing biostatistics resources in three areas: (1) recruiting and retaining biostatisticians, (2) efficiently using biostatistics resources, and (3) improving biostatistical contributions to science. AHCs should consider these three domains in building strong biostatistics resources, which they can leverage to support a broad spectrum of research. For each of the three domains, the authors describe the advantages and disadvantages of AHCs creating centralized biostatistics units rather than dispersing such resources across clinical departments or other research units. They also address the challenges that biostatisticians face in contributing to research without sacrificing their individual professional growth or the trajectory of their research teams. The authors ultimately recommend that AHCs create centralized biostatistics units because this approach offers distinct advantages both to investigators who collaborate with biostatisticians as well as to the biostatisticians themselves, and it is better suited to accomplish the research and education missions of AHCs.

Entities:  

Mesh:

Year:  2013        PMID: 23425984      PMCID: PMC3610776          DOI: 10.1097/ACM.0b013e31828578ed

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  11 in total

1.  Review times in statistical journals: tilting at windmills?

Authors:  R J Carroll
Journal:  Biometrics       Date:  2001-03       Impact factor: 2.571

2.  Estimating the value of an internal biostatistical consulting service.

Authors:  R A Parker
Journal:  Stat Med       Date:  2000-08-30       Impact factor: 2.373

3.  Towards a curriculum for the consultant biostatistician: identification of central disciplines.

Authors:  H Tobi; D J Kuik; P D Bezemer; P Ket
Journal:  Stat Med       Date:  2001-12-30       Impact factor: 2.373

4.  How statistical expertise is used in medical research.

Authors:  Douglas G Altman; Steven N Goodman; Sara Schroter
Journal:  JAMA       Date:  2002-06-05       Impact factor: 56.272

5.  The training of biostatistical scientists.

Authors:  M Zelen
Journal:  Stat Med       Date:  2003-11-15       Impact factor: 2.373

6.  Evaluation metrics for biostatistical and epidemiological collaborations.

Authors:  Doris McGartland Rubio; Deborah J Del Junco; Rafia Bhore; Christopher J Lindsell; Robert A Oster; Knut M Wittkowski; Leah J Welty; Yi-Ju Li; Dave Demets
Journal:  Stat Med       Date:  2011-02-01       Impact factor: 2.373

7.  Organizational improvements to enhance modern clinical epidemiology.

Authors:  Robert M Califf; Geoffrey S Ginsburg
Journal:  JAMA       Date:  2008-11-19       Impact factor: 56.272

8.  The tragedy of the commons. The population problem has no technical solution; it requires a fundamental extension in morality.

Authors:  G Hardin
Journal:  Science       Date:  1968-12-13       Impact factor: 47.728

9.  The biostatistician in medical research: allocating time and effort.

Authors:  M L Lesser; R A Parker
Journal:  Stat Med       Date:  1995-08-15       Impact factor: 2.373

10.  The training of statisticians for cooperative clinical trials: a working statistician's viewpoint.

Authors:  E A Gehan
Journal:  Biometrics       Date:  1980-12       Impact factor: 2.571

View more
  17 in total

1.  Biostatistics Faculty and NIH Awards at U.S. Medical Schools.

Authors:  Guangxiang Zhang; John J Chen
Journal:  Am Stat       Date:  2015-02       Impact factor: 8.710

2.  Biostatistical resources in an academic medical center.

Authors:  Matthew S Thiese; Andria Thatcher; Melissa Cheng
Journal:  J Thorac Dis       Date:  2018-07       Impact factor: 2.895

3.  A new research paradigm for pediatric radiology-can we climb the pyramid?

Authors:  George S Bisset
Journal:  Pediatr Radiol       Date:  2014-07-25

4.  Improving Initiation and Tracking of Research Projects at an Academic Health Center: A Case Study.

Authors:  Susanne Schmidt; Martin Goros; Helen M Parsons; Can Saygin; Hung-Da Wan; Paula K Shireman; Jonathan A L Gelfond
Journal:  Eval Health Prof       Date:  2016-09-20       Impact factor: 2.651

5.  Characteristics of Biostatistics, Epidemiology, and Research Design Programs in Institutions With Clinical and Translational Science Awards.

Authors:  Mohammad H Rahbar; Aisha S Dickerson; Chul Ahn; Rickey E Carter; Manouchehr Hessabi; Christopher J Lindsell; Paul J Nietert; Robert A Oster; Brad H Pollock; Leah J Welty
Journal:  Acad Med       Date:  2017-02       Impact factor: 6.893

6.  Model for a university-based clinical research development infrastructure.

Authors:  Tamara Havermahl; Elizabeth LaPensee; David Williams; Daniel Clauw; Robert A Parker; Brad Downey; Jing Liu; James Myles
Journal:  Acad Med       Date:  2015-01       Impact factor: 6.893

7.  Best Practices for Biostatistical Consultation and Collaboration in Academic Health Centers.

Authors:  Susan M Perkins; Peter Bacchetti; Cynthia S Davey; Christopher J Lindsell; Madhu Mazumdar; Robert A Oster; Peter N Peduzzi; David M Rocke; Kyle D Rudser; Mimi Kim
Journal:  Am Stat       Date:  2016-06-09       Impact factor: 8.710

8.  The Africa Center for Biostatistical Excellence: a proposal for enhancing biostatistics capacity for sub-Saharan Africa.

Authors:  Rhoderick Machekano; Taryn Young; Simbarashe Rusakaniko; Patrick Musonda; Ben Sartorius; Jim Todd; Greg Fegan; Lehana Thabane; Usuf Chikte
Journal:  Stat Med       Date:  2015-07-03       Impact factor: 2.373

9.  Assessing statistical competencies in clinical and translational science education: one size does not fit all.

Authors:  Robert A Oster; Christopher J Lindsell; Leah J Welty; Madhu Mazumdar; Sally W Thurston; Mohammad H Rahbar; Rickey E Carter; Bradley H Pollock; Andrew J Cucchiara; Elizabeth J Kopras; Borko D Jovanovic; Felicity T Enders
Journal:  Clin Transl Sci       Date:  2014-09-12       Impact factor: 4.689

10.  Establishing a Data Science Unit in an Academic Medical Center: An Illustrative Model.

Authors:  Manisha Desai; Mary Boulos; Gina M Pomann; Gary K Steinberg; Frank M Longo; Mary Leonard; Thomas Montine; Andra L Blomkalns; Robert A Harrington
Journal:  Acad Med       Date:  2022-01-01       Impact factor: 7.840

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.