Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science

on some bayesian statistical models in actuarial science with emphasis on claim count

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Statistical Sensitiveness for Science

Research often necessitates of samples, yet obtaining large enough samples is not always possible. When it is, the researcher may use one of two methods for deciding upon the required sample size: rules-of-thumb, quick yet uncertain, and estimations for power, mathematically precise yet with the potential to overestimate or underestimate sample sizes when effect sizes are unknown. Misestimated ...

The Good and Bad Science of Autism

Beyond statistical inference: a decision theory for science.

Traditional null hypothesis significance testing does not yield the probability of the null or its alternative and, therefore, cannot logically ground scientific decisions. The decision theory proposed here calculates the expected utility of an effect on the basis of (1) the probability of replicating it and (2) a utility function on its size. It takes significance tests--which place all value ...

Statistical Methods of Causal Inference in Sports Science Research

Among the complex large quantity of sports phenomenon and sports issues, we need to discuss the causal relationship and essential rule in between. Mathematical statistics is one of the common and practical methods for causal inference. In order to better understand, select, and use mathematical statistic methods, and to avoid deviation of research result due to misuse or even abuse of statistic...