Management and interpretation of data obtained from clinical trials in pain management.
Conducting a clinical trial involves various stages of planning and implementation. The three major components involved in clinical trials are the management of data, the quality control to ensure data integrity, and the interpretation of the data at the conclusion of the trial. Although each proces...
| Publicado en: | Pain Practice Vol. 8; no. 6; pp. 461 - 473 |
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| Autores principales: | , |
| Formato: | equations & formulas Journal Article |
| Publicado: |
Wiley-Blackwell
Nov/Dec2008
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105576655&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105576655 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15307085 HYN jtl: Pain Practice issn: 15307085 maglogo: Y pubinfo: dt: Nov/Dec2008 vid: 8 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105576655 2010103808 10.1111/j.1533-2500.2008.00240.x NLM19000174 105576655 ppf: 461 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Management and interpretation of data obtained from clinical trials in pain management. aug: au: Theodore BR Gatchel RJ affil: Department of Psychology, College of Science, The University of Texas at Arlington, 501 S. Nedderman Drive, Arlington, TX 76019-0528, USA sug: subj: Clinical Trials Methods Data Analysis Methods Data Management Methods Pain Therapy Statistics Methods Bias (Research) Causal Attribution Effect Size Odds Ratio Pearson's Correlation Coefficient Quality Assurance Statistical Significance Treatment Outcomes Evaluation ab: Conducting a clinical trial involves various stages of planning and implementation. The three major components involved in clinical trials are the management of data, the quality control to ensure data integrity, and the interpretation of the data at the conclusion of the trial. Although each process is distinct and involves different levels of effort and knowledge to implement, all processes are intimately linked. Data management techniques include the process of data entry and the implementation of an organized, comprehensive approach to quality control. Some guidelines for quality control screening are recommended to address various common issues related to clinical data, such as missing data, invalid cases, subject 'outliers,' and violation of distributional assumptions relevant to statistical analyses. In order to aid in interpreting the data, conditions that need to be met to make causal inferences are discussed. Taking into account baseline characteristics of the patient sample is also discussed as an extension to maintaining the internal validity of the study. Additionally, some common threats to statistical conclusion validity, including Type I error inflation and the problem of overpowered tests, are highlighted. Finally, the concept of the effect size as an important complement to statistical significance and how the various types of effect size measures can be interpreted within the context of a clinical trial are discussed. pubtype: Academic Journal doctype: equations & formulas Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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