Method for data analysis in different institutions: Example of image guidance of prostate cancer patients
| Autor: | T. Bajon, George Rodrigues, Slav Yartsev, Tomasz Piotrowski |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Male
Databases Factual Computer science media_common.quotation_subject Statistics as Topic Pooling Biophysics General Physics and Astronomy Asymptotic distribution computer.software_genre Set (abstract data type) Prostate cancer Data acquisition medicine Humans Radiology Nuclear Medicine and imaging Cooperative Behavior Normality Statistical hypothesis testing media_common Sequence Prostatic Neoplasms General Medicine medicine.disease Data mining Tomography X-Ray Computed computer Radiotherapy Image-Guided |
| Zdroj: | Physica Medica. 30:249-251 |
| ISSN: | 1120-1797 |
| DOI: | 10.1016/j.ejmp.2013.05.001 |
| Popis: | Multi-institutional collaborations allow for more information to be analyzed but the data from different sources may vary in the subgroup sizes and/or conditions of measuring. Rigorous statistical analysis is required for pooling the data in a larger set. Careful comparison of all the components of the data acquisition is indispensable: identical conditions allow for enlargement of the database with improved statistical analysis, clearly defined differences provide opportunity for establishing a better practice. The optimal sequence of required normality, asymptotic normality, and independence tests is proposed. An example of analysis of six subgroups of position corrections in three directions obtained during image guidance procedures for 216 prostate cancer patients from two institutions is presented. |
| Databáze: | OpenAIRE |
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