The woefully complete guide¶ by Alex Reinhart If youâre a practicing scientist, you probably use statistics to analyze your data. From basic t tests and standard error calculations to Cox proportional hazards models and propensity score matching, we rely on statistics to give answers to scientific problems. This is unfortunate, because statistical errors are rife. Statistics Done Wrong is a guide
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