BookNeil R. Smalheiser.
Contents:
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
ANOVA
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.