Literature DB >> 26452746

Recognizing the problem of delayed entry in time-to-event studies: Better late than never for clinical neuroscientists.

Rebecca A Betensky1, Micha Mandel2.   

Abstract

EDITOR'S NOTE: One of the greatest differences I encountered in moving from being Editor-in-Chief of a basic science journal to the same position at Annals of Neurology was the much greater importance of meticulous review of the statistical treatment of data. In basic science, the conditions of an experiment can be set up by the investigator so that relatively simple statistical treatments can often be used with clear-cut results. Comparing the treatment and outcomes of human studies is much messier. Humans have a history before the study started; they have lives that often cause them to deviate from the protocol; and it is much harder to measure the outcomes because our methods have to be so much less invasive than they can be in animal studies. In addition, unlike mice or rats, which are deliberately inbred in a laboratory to minimize variation between animals, we are a wild species with enormous genetic and environmental variability. We solved the problem of the lack of statistical sophistication of the scientific editors by bringing in an expert in study design and statistical analysis, Dr Rebecca Betensky, a Professor of Biostatistics at the Harvard T. H. Chan School of Public Health, who serves as our Statistical Editor. We have weekly editorial conferences where the Associate Editors, Rebecca, and I consider which of the papers that were reviewed in the previous week should be published. Each week, it seems, we are treated to a private tutorial (sometimes more than one) on the complexities of study design and statistical analysis in the papers we are considering. I have learned a great deal at these meetings and thought that this education should be extended to our readers, and so I have prevailed upon Dr Betensky to address some recurring topics in our editorial conferences. We begin this month with the concept of delayed entry, a common problem in human studies that many investigators and reviewers fail to take into account. We have decided to publish this series under the NeuroGenesis section of the Annals, because this section is devoted to the career development of neurologists, and it seems critical to the professional judgment of every academic neurologist to assimilate the concepts in this series, both to improve our own work and to evaluate the work of other neurologists more critically. -C.B.S.
© 2015 American Neurological Association.

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Mesh:

Year:  2015        PMID: 26452746      PMCID: PMC5502209          DOI: 10.1002/ana.24538

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  4 in total

1.  A general class of nonparametric tests for survival analysis.

Authors:  M P Jones; J Crowley
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

2.  Modeling late entry bias in survival analysis.

Authors:  Masaaki Matsuura; Shinto Eguchi
Journal:  Biometrics       Date:  2005-06       Impact factor: 2.571

3.  Comments on 'Choice of time scale and its effect on significance of predictors in longitudinal studies' by Michael J. Pencina, Martin G. Larson and Ralph B. D'Agostino, Statistics in Medicine 2007; 26:1343-1359.

Authors:  Mitchell H Gail; Barry Graubard; David F Williamson; Katherine M Flegal
Journal:  Stat Med       Date:  2009-04-15       Impact factor: 2.373

4.  Sex modifies the APOE-related risk of developing Alzheimer disease.

Authors:  Andre Altmann; Lu Tian; Victor W Henderson; Michael D Greicius
Journal:  Ann Neurol       Date:  2014-04-14       Impact factor: 10.422

  4 in total
  5 in total

1.  Implications of Selection Bias Due to Delayed Study Entry in Clinical Genomic Studies.

Authors:  Samantha Brown; Jessica A Lavery; Ronglai Shen; Axel S Martin; Kenneth L Kehl; Shawn M Sweeney; Eva M Lepisto; Hira Rizvi; Caroline G McCarthy; Nikolaus Schultz; Jeremy L Warner; Ben Ho Park; Philippe L Bedard; Gregory J Riely; Deborah Schrag; Katherine S Panageas
Journal:  JAMA Oncol       Date:  2022-02-01       Impact factor: 33.006

2.  Physical activity and sedentary behavior trajectories and their associations with quality of life, disability, and all-cause mortality.

Authors:  Aarón Salinas-Rodríguez; Betty Manrique-Espinoza; Rosa Palazuelos-González; Ana Rivera-Almaraz; Alejandra Jáuregui
Journal:  Eur Rev Aging Phys Act       Date:  2022-04-29       Impact factor: 6.650

3.  A nationwide registry study on heart failure in Norway from 2008 to 2018: variations in lookback period affect incidence estimates.

Authors:  Kristina Malene Ødegaard; Sandre Svatun Lirhus; Hans Olav Melberg; Jonas Hallén; Sigrun Halvorsen
Journal:  BMC Cardiovasc Disord       Date:  2022-03-05       Impact factor: 2.298

4.  Evolution of disability in spinocerebellar ataxias type 1, 2, 3, and 6.

Authors:  Heike Jacobi; Tamara Schaprian; Jan Beyersmann; Sophie Tezenas du Montcel; Matthias Schmid; Thomas Klockgether
Journal:  Ann Clin Transl Neurol       Date:  2022-02-21       Impact factor: 4.511

5.  Duration and dosing of Proton Pump Inhibitors associated with high incidence of chronic kidney disease in population-based cohort.

Authors:  Antonio Rodríguez-Poncelas; Maria A Barceló; Marc Saez; Gabriel Coll-de-Tuero
Journal:  PLoS One       Date:  2018-10-17       Impact factor: 3.240

  5 in total

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