The current state of data and evidence biostatistics: clinical research design and analysis

Statistical analysis is a crucial tool that allows medical researchers to get meaningful conclusions from their data. Inadequate and incorrect results and conclusions may emerge from inappropriate study design and data analysis. Converting a medical problem into a statistical theory with the proper methodological and logical design and then back-translating the statistical results into meaningful medical information. In clinical research, the goal is to create a study from which a valid and useful scientific conclusion may be drawn using suitable statistical methodologies. The research study can either improve health care or damage patients inadvertently. As a result, a well-designed clinical research study based on a thorough methodology and guided by ethical clinical principles is required.

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Recognition of biostatistics as an academic field, important to the intellectual architecture of the broader research effort, is required for biostatistics to become a core discipline within academic health and medical research. This necessitates frameworks that support a wide spectrum of biostatistical work, from nonspecialists such as doctors to masters level biostatistics graduates and doctorate students to postdoctoral researchers and biostatistical technique research leaders.

Biostatistical research comprises a long procedure that includes mathematical derivations and conceptualizations, simulation studies, thorough case studies, and the translation of newly established methodologies for use by other researchers. Biostatistics, as a branch of statistics, is a well-established scientific field in its own right, rather than a collection of procedures that must be applied appropriately.

Reference

  1. Katherine J Lee, 1,2 Margarita Moreno‐Betancur, 1,2 Jessica Kasza, 3 Ian C Marschner, 4 Adrian G Barnett, 5 and John B Carlincorresponding author 1,2; Biostatistics: a fundamental discipline at the core of modern health data science, Med J Aust. 2019 Nov; 211(10): 444–446.e1.
  2. Karthik Suresh, Sanjeev V. Thomas,1 and Geetha Suresh2 Design, data analysis and sampling techniques for clinical research, Ann Indian Acad Neurol. 2011 Oct-Dec; 14(4): 287–290.