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  • Book
    Neil R. Smalheiser.
    Reproducibility and robustness
    Choosing a research problem
    Basics of data and data distribution
    Experimental design: measures, validity, sampling, bias, randomization, power
    Experimental design: design strategies and controls
    Power estimation
    The data cleansing and analysis pipeline
    Topics to consider when analyzing data
    Null hypothesis statistical testing and the t-Test
    The "new statistics" and Bayesian inference
    Non parametric tests
    Correlation and other concepts you should know
    How to record and report your experiments
    Data sharing and reuse
    The revolution in scientific publishing.
    Digital Access ScienceDirect 2017