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Most popular biostatistical papers in 2006
Wiley, the publisher of two influential biostatistical journals, Statistics in Medicine and Pharmaceutical Statistics, has released the list of papers published in these journals that attracted most attention last year.
Statistics in Medicine
Editors: Ralph D'Agostino (Boston University, USA), Michael J. Campbell (University of Sheffield, UK), Joel Greenhouse (Carnegie Mellon University, USA).
Most popular papers in 2006
Patrick Royston, Douglas Altman, Willi Sauerbrei
Dichotomizing continuous predictors in multiple regression: a bad idea
(Volume 25, Issue 1)
Lingqi Tang, Juwon Song, Thomas Belin, Jurgen Unutzer
A comparison of imputation methods in a longitudinal randomized clinical trial
(Volume 24, Issue 14)
Alex Dmitrienko, Ming-Dauh Wang
Bayesian predictive approach to interim monitoring in clinical trials
(Volume 25, Issue 13)
A detailed discussion of this and related approaches as well as software implementation can be found in Chapter 4 of Analysis of Clinical Trials Using SAS: A Practical Guide by Alex Dmitrienko, Geert Molenberghs, Christy Chuang-Stein, Walt Offen.
Pharmaceutical Statistics
Editors: Steven A. Julious (University of Sheffield, UK), Sue-Jane Wang (Food and Drug Administration, USA), Michael K. Smith (Pfizer, UK).
Most popular papers in 2006
Carl-Fredrik Burman, Bengt Hamren, Per Olsson
Modelling and simulation to improve decision-making in clinical development
(Volume 4, Issue 1)
James Hung, Sue-Jane Wang, Robert O'Neill
Methodological issues with adaptation of clinical trial design
(Volume 5, Issue 2)
Michael Smith, Ieuan Jones, Mark Morris, Andrew Grieve, Keith Tan
Implementation of a Bayesian adaptive design in a proof of concept study
(Volume 5, Issue 1)
Sue-Jane Wang, James Hung, Robert O'Neill
Adapting the sample size planning of a phase III trial based on phase II data
(Volume 5, Issue 2)