Literature DB >> 3201042

Improving the quality of data in randomized clinical trials: the COMPACT computer package. COMPACT Steering Committee.

C E Chilvers1, P M Fayers, L S Freedman, R M Greenwood, D Machin, N Palmer, A J Westlake.   

Abstract

One crucial component for a successful clinical trial is that the data gathered have a high level of reliability and completeness. This paper reviews some problems of data management and describes the computer package COMPACT which has been developed to deal with such problems. The package allows range and consistency checks and can monitor complex follow-up schedules. A unique feature of the package is a PROBLEMS file which has use both for identification of queries about the data and of patients with particular characteristics of interest. The ability to monitor drug dosages and to signal deviations from the protocol is of particular value. COMPACT has the syntax necessary to create a 'flat' file for transfer to statistical packages for analysis, and the variable description files for SAS, SPSS and MINITAB. The package is written in standard FORTRAN which enables transfer to different types of mini and micro computer systems.

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Year:  1988        PMID: 3201042     DOI: 10.1002/sim.4780071109

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  A Medical Research Council trial of two radiotherapy doses in the treatment of grades 3 and 4 astrocytoma. The Medical Research Council Brain Tumour Working Party.

Authors:  N M Bleehen; S P Stenning
Journal:  Br J Cancer       Date:  1991-10       Impact factor: 7.640

2.  Inoperable non-small-cell lung cancer (NSCLC): a Medical Research Council randomised trial of palliative radiotherapy with two fractions or ten fractions. Report to the Medical Research Council by its Lung Cancer Working Party.

Authors: 
Journal:  Br J Cancer       Date:  1991-02       Impact factor: 7.640

3.  Data management for prospective research studies using SAS software.

Authors:  Robin L Kruse; David R Mehr
Journal:  BMC Med Res Methodol       Date:  2008-09-11       Impact factor: 4.615

  3 in total

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