Missing-data-analysis-Open-Access-Journals | Journal Of Biometrics And Biostatistics

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Missing data arise in almost all serious statistical analyses. Missing data are ubiquitous in social science research. It is important to consider the issues raised by missing data at the research design stage. As unplanned missing data inevitably introduce ambiguity into the inferences that can be drawn from a study, the design should be carefully scrutinised to minimise the scope for missing data to arise. Considerable care over this aspect of design will pay a substantial dividend when the study is analysed. The open access journals are peer reviewed scholarly Journal of Biometrics & Biostatistics. The top open access journals are freely available on the public internet domain, allowing any end users to read, download, copy, distribute, prink, search or link to the full texts of the articles. These provide high quality, meticulously reviewed and rapid publication, to cater the insistent need of scientific community. These journals are indexed with all their citations noted. The top open access journals are indexed in SCOPUS, COPERNICUS, CAS, EBSCO and ISI.
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Last date updated on March, 2021