Literature DB >> 18728215

Interpreting results of clinical trials: a conceptual framework.

Ajay K Singh, Ken Kelley, Rajiv Agarwal.   

Abstract

Mesh:

Year:  2008        PMID: 18728215      PMCID: PMC4571159          DOI: 10.2215/CJN.03580807

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


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  22 in total

1.  Intradialytic blood volume monitoring in ambulatory hemodialysis patients: a randomized trial.

Authors:  Donal N Reddan; Lynda Anne Szczech; Vic Hasselblad; Edmund G Lowrie; Robert M Lindsay; Jonathan Himmelfarb; Robert D Toto; John Stivelman; James F Winchester; Linda A Zillman; Robert M Califf; William F Owen
Journal:  J Am Soc Nephrol       Date:  2005-06-01       Impact factor: 10.121

2.  Sample size planning for the coefficient of variation from the accuracy in parameter estimation approach.

Authors:  Ken Kelley
Journal:  Behav Res Methods       Date:  2007-11

Review 3.  The Normal Haematocrit Trial in dialysis patients with cardiac disease: are we any the less confused about target haemoglobin?

Authors:  I C Macdougall; E Ritz
Journal:  Nephrol Dial Transplant       Date:  1998-12       Impact factor: 5.992

4.  Publication bias: evidence of delayed publication in a cohort study of clinical research projects.

Authors:  J M Stern; R J Simes
Journal:  BMJ       Date:  1997-09-13

5.  Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT).

Authors: 
Journal:  JAMA       Date:  2002-12-18       Impact factor: 56.272

6.  The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial. Survey of 71 "negative" trials.

Authors:  J A Freiman; T C Chalmers; H Smith; R R Kuebler
Journal:  N Engl J Med       Date:  1978-09-28       Impact factor: 91.245

7.  Publication bias: the problem that won't go away.

Authors:  K Dickersin; Y I Min
Journal:  Ann N Y Acad Sci       Date:  1993-12-31       Impact factor: 5.691

8.  The use of predicted confidence intervals when planning experiments and the misuse of power when interpreting results.

Authors:  S N Goodman; J A Berlin
Journal:  Ann Intern Med       Date:  1994-08-01       Impact factor: 25.391

9.  The effects of dietary protein restriction and blood-pressure control on the progression of chronic renal disease. Modification of Diet in Renal Disease Study Group.

Authors:  S Klahr; A S Levey; G J Beck; A W Caggiula; L Hunsicker; J W Kusek; G Striker
Journal:  N Engl J Med       Date:  1994-03-31       Impact factor: 91.245

10.  Why most published research findings are false.

Authors:  John P A Ioannidis
Journal:  PLoS Med       Date:  2005-08-30       Impact factor: 11.613

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  2 in total

1.  The Value of the P Value.

Authors:  Dinesh Vyas; Archana Balakrishnan; Arpita Vyas
Journal:  Am J Robot Surg       Date:  2015-12

Review 2.  Statistical fundamentals on cancer research for clinicians: Working with your statisticians.

Authors:  Wei Xu; Shao Hui Huang; Jie Su; Shivakumar Gudi; Brian O'Sullivan
Journal:  Clin Transl Radiat Oncol       Date:  2021-01-16
  2 in total

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