The Statistical Crisis in Science

The Statistical Crisis in Science

4/1/2015

link

http://www.americanscientist.org/issues/feature/2014/6/the-statistical-crisis-in-science/99999

summary

This article discusses the statistical crisis in science, focusing on the issues of reproducibility and reliability of scientific research. It highlights the prevalence of publication bias, where positive results are more likely to be published, while negative or inconclusive results often go unpublished. The article also delves into the misuse and misinterpretation of statistical methods, leading to false conclusions and a lack of robustness in scientific findings. It emphasizes the need for better statistical training for researchers and the importance of open data sharing and replication studies to address this crisis. Overall, the article sheds light on the challenges faced by the scientific community in maintaining the integrity and credibility of research.

tags

research credibility ꞏ research ethics ꞏ research design ꞏ scientific community ꞏ research misconduct ꞏ scientific evidence ꞏ data integrity ꞏ scientific inquiry ꞏ data falsification ꞏ reproducibility crisis ꞏ data reliability ꞏ scientific validation ꞏ scientific progress ꞏ p-value ꞏ data interpretation ꞏ data-driven decision-making ꞏ hypothesis testing ꞏ research quality ꞏ research reproducibility ꞏ scientific research ꞏ data processing ꞏ scientific discovery ꞏ scientific publishing ꞏ scientific experiments ꞏ statistical analysis ꞏ scientific rigor ꞏ data collection ꞏ data manipulation ꞏ data analysis ꞏ scientific methodology ꞏ data reproducibility ꞏ scientific knowledge ꞏ research standards ꞏ scientific objectivity ꞏ statistical methods ꞏ research transparency ꞏ research integrity ꞏ research validity ꞏ research honesty ꞏ statistical significance ꞏ research reliability ꞏ research bias ꞏ scientific accuracy