Sentence examples for datasets and analyses of from inspiring English sources
AJW carried out development and implementation of Vmus3D, normalisation of datasets and analyses of results.
Some investigators have developed corrective statistical tools to be used with a specified error rate in source databases in a particular circumstance, 8 but such tools are unlikely to become widely applicable without more reporting of error rates within different types of datasets and analyses of outcome differences.
However, the major concern of all reviewers relates to limitations of the DHS dataset, ensuring that comparisons and analyses of the observational work are valid and adequately explained/justified, gaining a better understanding of country–level effects, and concerns about ethical practice in global health survey work.
The second practical application of these datasets and analyses is for generating predictive maps that can be used to target resources (e.g., drugs or insecticide spraying activity) between municipalities when notification data are incomplete or unreliable.
We recognize that the demographic analyses of both the subsubtype A3 epidemic in West Africa and the local epidemics in Guinea-Bissau (CRF02_AG cluster 2 and subsubtype A3 cluster 1) are based on relatively few sequences (reflected by large HPD intervals, Figures 2a, c d), and analyses of larger datasets are needed to confirm the results presented in this study.
Imputations and analyses of imputed datasets were performed in Stata using user-written program ice for imputations and Stata mi and xtgee commands for primary analysis models.
Concerning potential problems of our dataset and analyses, they are mostly to be attributed to the relatively small sample size.
It keeps the most important information from the data table, simplifying the description of the dataset and analysing the structure of the variables (Abdi and Williams 2010).
This is a limitation of the current dataset and analyses, and is therefore an avenue for further research.
Ten of the 15 articles pooled all the IPD available into one big dataset and analysed it ignoring clustering of patients within studies or collaborative groups (this is often referred to as a 'one-stage meta-analysis ignoring clustering' [ 36]), mostly without explaining why clustering was ignored.
