Part II: corrupt data: sources and solutions.
The final destination of data collected during the course of a clinical trial is the analysis that will either support or disprove the stated hypothesis. Clean and valid data is the first step in the process. However, the statistical analysis that in itself is error free demands constant verificatio...
| Publicado en: | Research Nurse Vol. 5; no. 2; pp. 15 - 19 |
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| Autor principal: | |
| Formato: | CEU exam questions tables/charts Journal Article |
| Publicado: |
Research Nurse
1999 Mar-Apr
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The final destination of data collected during the course of a clinical trial is the analysis that will either support or disprove the stated hypothesis. Clean and valid data is the first step in the process. However, the statistical analysis that in itself is error free demands constant verification and diligence on the part of the data analysts and statisticians. Every step in the process must include data validation methods that ensures valid results. Descriptive statistics and programming code to detect errors are critical steps in producing and ultimately publishing reliable results from clinical trials. |
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