Aim & Scope
Among the important scientific developments of the 20th century is the explosive growth in statistical reasoning and methods for application to studies of human health. Examples include developments in likelihood methods for inference, epidemiologic statistics, clinical trials, survival analysis, and statistical genetics. Substantive problems in public health and biomedical research have fueled the development of statistical methods, which in turn have improved our ability to draw valid inferences from data. The objective of Biostatistics is to advance statistical science and its application to problems of human health and disease, with the ultimate goal of advancing the public's health. Biostatistics publishes papers that develop innovative statistical methods with applications to the understanding of human health and disease, including basic biomedical sciences. Papers should focus on methods and applications. Introduction of original methodology should be grounded in substantive problems;there is the opportunity to present extensive analyses of data on the journal's website as supplementary material. Authors are strongly encouraged to submit code supporting their publications. Authors should submit a link to a Github repository and to a specific example of the code on a code archiving service such as Figshare or Zenodo. Papers submitted for publication in Biostatistics should satisfy at least one of the following criteria: development of new stochastic models or statistical methodology clearly motivated by a substantive problem in health or biomedical sciences; innovative application of statistical methodology to address a substantive problem in health or biomedical sciences; critical review of an area of statistical methodology relevant to health or biomedical science applications, with a focus on practical utility; case studies based on important health or biomedical sciences data.
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