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  2. Biostatistics - Wikipedia

    en.wikipedia.org/wiki/Biostatistics

    The research plan might include the research question, the hypothesis to be tested, the experimental design, data collection methods, data analysis perspectives and costs involved. It is essential to carry the study based on the three basic principles of experimental statistics: randomization , replication , and local control.

  3. List of research methods in biology - Wikipedia

    en.wikipedia.org/wiki/List_of_research_methods...

    Used to rapidly make millions to billions of copies (complete copies or partial copies) of a specific DNA sample, allowing scientists to take a very small sample of DNA and amplify it (or a part of it) to a large enough amount to study in detail: Genetics, Molecular biology: Somatic cell nuclear transfer

  4. Research design - Wikipedia

    en.wikipedia.org/wiki/Research_design

    A research design typically outlines the theories and models underlying a project; the research question(s) of a project; a strategy for gathering data and information; and a strategy for producing answers from the data. [1] A strong research design yields valid answers to research questions while weak designs yield unreliable, imprecise or ...

  5. Lists of statistics topics - Wikipedia

    en.wikipedia.org/wiki/Lists_of_statistics_topics

    Outline of statistics; Outline of regression analysis; Index of statistics articles; List of scientific method topics; List of analyses of categorical data

  6. Medical statistics - Wikipedia

    en.wikipedia.org/wiki/Medical_statistics

    Clinical biostatistics is concerned with research into the principles and methodology used in the design and analysis of clinical research and to apply statistical theory to clinical medicine. [ 1 ] [ 5 ]

  7. Biomedical data science - Wikipedia

    en.wikipedia.org/wiki/Biomedical_data_science

    Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.

  8. SDTM - Wikipedia

    en.wikipedia.org/wiki/SDTM

    Examples include—REASND, AESLIFE, and all other SAE (serious adverse event) flag variables in the AE domain; and—BLFL, --POS and—LOC, --SPEC, --LOT, --NAM. Variable Qualifiers are used to further modify or describe a specific variable within an observation and is only meaningful in the context of the variable they qualify.

  9. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample.The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.