Literature DB >> 20009908

Biostatistics: a toolkit for exploration, validation, and interpretation of clinical data.

Jayawant N Mandrekar1, Sumithra J Mandrekar.   

Abstract

Biostatistics plays a key role in all phases of clinical research starting from the design to the monitoring, data collection, data analysis, and interpretation of the results. A clear understanding of the statistical framework as it relates to the study hypothesis, reported results, and interpretation is vital for the scientific integrity of the study and its acceptance in the general medical community. In this brief report, we will put in perspective the general analytical framework for exploring and validating prognostic factors using data from large databases.

Entities:  

Mesh:

Year:  2009        PMID: 20009908      PMCID: PMC2796575          DOI: 10.1097/JTO.0b013e3181c0a329

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  9 in total

1.  Binary partitioning for continuous longitudinal data: categorizing a prognostic variable.

Authors:  M Abdolell; M LeBlanc; D Stephens; R V Harrison
Journal:  Stat Med       Date:  2002-11-30       Impact factor: 2.373

Review 2.  Statistics in medical research.

Authors:  P Sprent
Journal:  Swiss Med Wkly       Date:  2003-10-11       Impact factor: 2.193

3.  Twenty statistical errors even you can find in biomedical research articles.

Authors:  Tom Lang
Journal:  Croat Med J       Date:  2004-08       Impact factor: 1.351

Review 4.  Ten common statistical errors and how to avoid them.

Authors:  Alan R Zinsmeister; Jason T Connor
Journal:  Am J Gastroenterol       Date:  2008-02       Impact factor: 10.864

5.  Categorizing a prognostic variable: review of methods, code for easy implementation and applications to decision-making about cancer treatments.

Authors:  M Mazumdar; J R Glassman
Journal:  Stat Med       Date:  2000-01-15       Impact factor: 2.373

Review 6.  Dangers of using "optimal" cutpoints in the evaluation of prognostic factors.

Authors:  D G Altman; B Lausen; W Sauerbrei; M Schumacher
Journal:  J Natl Cancer Inst       Date:  1994-06-01       Impact factor: 13.506

7.  Survival determinants in extensive-stage non-small-cell lung cancer: the Southwest Oncology Group experience.

Authors:  K S Albain; J J Crowley; M LeBlanc; R B Livingston
Journal:  J Clin Oncol       Date:  1991-09       Impact factor: 44.544

8.  Prognostic factors differ by tumor stage for small cell lung cancer: a pooled analysis of North Central Cancer Treatment Group trials.

Authors:  Nathan R Foster; Sumithra J Mandrekar; Steven E Schild; Garth D Nelson; Kendrith M Rowland; Richard L Deming; Timothy F Kozelsky; Randolph S Marks; James R Jett; Alex A Adjei
Journal:  Cancer       Date:  2009-06-15       Impact factor: 6.860

9.  The International Association for the Study of Lung Cancer Staging Project: prognostic factors and pathologic TNM stage in surgically managed non-small cell lung cancer.

Authors:  Kari Chansky; Jean-Paul Sculier; John J Crowley; Dori Giroux; Jan Van Meerbeeck; Peter Goldstraw
Journal:  J Thorac Oncol       Date:  2009-07       Impact factor: 15.609

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.