![]() The evaluation of physical qualities in talent identification and development systems is vital and commonplace in supporting youth athletes towards elite sport. ![]() Which are common in the most research fields such as biology and healthcare. Small sample size, non-normal distribution, and with high percentages of missingĭata, characteristics that are not common when these methods are evaluated, but An improved workflow was describedįor the missings’ previous analysis and treatment, with a longitudinal dataset, with Obtaining similar results to those described. In the original paper where the data comes from (comparison between treatments), Were done, the results were put to test, reproducing the analysis carried out The PMM strategy, a modern treatment that has generated good results, on an HIVĭataset missing data, in three scenarios according to the sample size. ![]() This study carried out several multiple imputation alternatives by So, it is necessary to use the correct treatment on them, based on theirĬharacteristics. Significantly the statistical power, the analysis integrity, the bias, and the quality of If they are not taken into account, they will influence A missing data is relevant information to the analysis, but due to different factorsĬould not be recorded, and as a consequence, is absent in any kind of dataset,
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |