Literature DB >> 22415768

Characteristics of recent biostatistical methods adopted by researchers publishing in general/internal medicine journals.

Paul J Nietert1, Amy E Wahlquist, Teri Lynn Herbert.   

Abstract

BACKGROUND: Novel statistical methods are constantly being developed within the context of biomedical research; however, the characteristics of biostatistics methods that have been adopted into the field of general/internal medicine (GIM) is unclear. This study highlights the statistical journal articles, the statistical journals, and the types of statistical methods that appear to be having the most direct impact on GIM research.
METHODS: Descriptive techniques, including analyses of articles' keywords and controlled vocabulary terms, were used to characterize the articles published in statistics and probability journals that were subsequently referenced within GIM journal articles during a recent 10-year period (2000-2009).
RESULTS: From the 45 statistics and probability journals of interest, a total of 989 unique articles were identified as being cited by 2183 (out of a total of about 127 469) unique GIM journal articles. The most frequently cited statistical topics included general/other statistical methods, followed by randomized trials, epidemiologic methods, meta-analysis, generalized linear models, and computer simulation.
CONCLUSION: As statisticians continue to develop and refine techniques, the promotion and adoption of these methods should also be addressed so that their efforts spent in developing the methods are not done in vain.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22415768      PMCID: PMC3521084          DOI: 10.1002/sim.5311

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  12 in total

1.  Statistical aspects of the analysis of data from retrospective studies of disease.

Authors:  N MANTEL; W HAENSZEL
Journal:  J Natl Cancer Inst       Date:  1959-04       Impact factor: 13.506

2.  Citations, impact factors and shady publication practices: how should the lasting clinical and social value of research really be measured?

Authors:  S J O'Connor
Journal:  Eur J Cancer Care (Engl)       Date:  2010-03       Impact factor: 2.520

3.  Report on Certain Enteric Fever Inoculation Statistics.

Authors: 
Journal:  Br Med J       Date:  1904-11-05

4.  An historical perspective on meta-analysis: dealing quantitatively with varying study results.

Authors:  Keith O'Rourke
Journal:  J R Soc Med       Date:  2007-12       Impact factor: 5.344

Review 5.  Evolution of diffusion and dissemination theory.

Authors:  James W Dearing
Journal:  J Public Health Manag Pract       Date:  2008 Mar-Apr

6.  A simplified method of evaluating dose-effect experiments.

Authors:  J T LITCHFIELD; F WILCOXON
Journal:  J Pharmacol Exp Ther       Date:  1949-06       Impact factor: 4.030

7.  Epidemiologists (of all people) should question journal impact factors.

Authors:  Miguel A Hernán
Journal:  Epidemiology       Date:  2008-05       Impact factor: 4.822

8.  Beyond journal impact factors?

Authors:  Stephan M Feller
Journal:  Cell Commun Signal       Date:  2010-03-10       Impact factor: 5.712

9.  CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP.

Authors:  Joseph Felsenstein
Journal:  Evolution       Date:  1985-07       Impact factor: 3.694

10.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

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  6 in total

1.  Cost-effectiveness analysis: a proposal of new reporting standards in statistical analysis.

Authors:  Heejung Bang; Hongwei Zhao
Journal:  J Biopharm Stat       Date:  2014       Impact factor: 1.051

Review 2.  Longitudinal studies that use data collected as part of usual care risk reporting biased results: a systematic review.

Authors:  Delaram Farzanfar; Asmaa Abumuamar; Jayoon Kim; Emily Sirotich; Yue Wang; Eleanor Pullenayegum
Journal:  BMC Med Res Methodol       Date:  2017-09-06       Impact factor: 4.615

3.  Dissemination of novel biostatistics methods: Impact of programming code availability and other characteristics on article citations.

Authors:  Amy E Wahlquist; Lutfiyya N Muhammad; Teri Lynn Herbert; Viswanathan Ramakrishnan; Paul J Nietert
Journal:  PLoS One       Date:  2018-08-01       Impact factor: 3.240

Review 4.  A review of the study designs and statistical methods used in the determination of predictors of all-cause mortality in HIV-infected cohorts: 2002-2011.

Authors:  Kennedy N Otwombe; Max Petzold; Neil Martinson; Tobias Chirwa
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

5.  Multiple imputation strategies for zero-inflated cost data in economic evaluations: which method works best?

Authors:  Janet MacNeil Vroomen; Iris Eekhout; Marcel G Dijkgraaf; Hein van Hout; Sophia E de Rooij; Martijn W Heymans; Judith E Bosmans
Journal:  Eur J Health Econ       Date:  2015-10-23

6.  Meta-analysis and The Cochrane Collaboration: 20 years of the Cochrane Statistical Methods Group.

Authors:  Joanne E McKenzie; Georgia Salanti; Steff C Lewis; Douglas G Altman
Journal:  Syst Rev       Date:  2013-11-26
  6 in total

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