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

Statistics in Medicine

Volumn 32, Issue 1, 2013, Pages 1-10

  Nietert, Paul J ^a   Wahlquist, Amy E ^a   Herbert, Teri Lynn ^b  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Bibliometrics; Biostatistical methods; General internal medicine; Journal impact factor

Indexed keywords

ARTICLE; CITATION; COMPUTER SIMULATION; EPIDEMIOLOGY; GENERALIZED LINEAR MODEL; INFORMATION PROCESSING; INTERNAL MEDICINE; MEDICAL LITERATURE; MEDICAL RESEARCH; META ANALYSIS (TOPIC); PROBABILITY; PUBLISHING; RANDOMIZED CONTROLLED TRIAL (TOPIC); STATISTICAL ANALYSIS; STATISTICAL MODEL;

BIOSTATISTICS; HUMANS; INTERNAL MEDICINE; PUBLISHING;

EID: 84870924621     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5311     Document Type: Article

References (22)

1. O'Connor SJ. Citations, impact factors and shady publication practices: how should the lasting clinical and social value of research really be measured? European Journal of Cancer Care 2010; 19:141-143.
2. Hernán MA. Epidemiologists (of all people) should question journal impact factors. Epidemiology 2008; 19:366-368.
3. Reedijk J, Moed F. Is the impact of journal impact factors decreasing? Journal of Documentation 2008; 64:183-192.
4. Feller SM. Beyond journal impact factors? Cell Communication and Signaling 2010; 8:4.
5. van Nierop E. Why do statistics journals have low impact factors? Statistica Neerlandica 2009; 63:52-62.
6. Rueters T. Scope Notes: 2011 Science Citation Index Expanded. http://science.thomsonreuters.com/mjl/scope/scope/_scie/ [Accessed August 5, 2011].
7. Ryan TP, Woodall WH. The most-cited statistical papers. Journal of Applied Statistics 2005; 32:461-474.
8. Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. Journal of the American Statistical Association 1958; 53:457-481.
9. Cox DR. Regression models and life tables. Journal of the Royal Statistical Society, Series B 1972; 34:187-220.
10. Peto R, Pike MC, Armitage P, Breslow NE, Cox DR, Howard SV, Mantel N, McPherson K, Peto J, Smith PG. Design and analysis of randomized clinical trials requiring prolonged observation of each patient. II. Analysis and examples. British Journal of Cancer 1977; 35:1-39.
11. Mantel N. Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports 1966; 50:163-170.
12. Duncan DB. Multiple range and multiple F-tests. Biometrics 1955; 11:1-42.
13. Marquardt DW. An algorithm for least squares estimation of non-linear parameters. Journal of the Society for Industrial and Applied Mathematics 1963; 2:431-441.
14. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986; 1:307-310.
15. Litchfield JT, Jr., Wilcoxon F. A simplified method of evaluating dose-effect experiments. The Journal of Pharmacology and Experimental Therapeutics 1949; 96:99-113.
16. Felsenstein J. Confidence limits on phylogenies: an approach using the bootstrap. Evolution 1985; 39:783-791.
17. Mantel N, Haenszel W. Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute 1959; 22:719-748.
18. Agency for Healthcare Research and Quality. Translating Research Into Practice (TRIP)-II Fact Sheet. http://www.ahrq.gov/research/trip2fac.htm [Accessed August 8, 2011].
19. Dearing JW. Evolution of diffusion and dissemination theory. Journal of Public Health Management and Practice 2008; 14:99-108.
20. Pearson K. Report on certain enteric fever inoculation statistics. British Medical Journal 1904; 2:1243-1246.
21. Glass GV. Primary, secondary and meta-analysis of research. Education Researcher 1976; 10:3-8.
22. O'Rourke K. An historical perspective on meta-analysis: dealing quantitatively with varying study results. Journal of the Royal Society of Medicine 2007; 100:579-582.