Endgames Statistical Question Understanding P values BMJ 2014; 349 doi: https://doi.org/10.1136/bmj.g4550 (Published 11 July 2014) Cite this as: BMJ 2014;349:g4550 Article Related content Metrics Responses Peer review Related articles Endgames Independent samples t test Published: 02 June 2010; BMJ 340 doi:10.1136/bmj.c2673 Endgames Pitfalls of statistical hypothesis testing: type I and type II errors Published: 03 July 2014; BMJ 349 doi:10.1136/bmj.g4287 Endgames Understanding statistical hypothesis testing Published: 30 May 2014; BMJ 348 doi:10.1136/bmj.g3557 Endgames The importance of statistical power Published: 18 October 2013; BMJ 347 doi:10.1136/bmj.f6282 Endgames What is sampling error? Published: 27 June 2012; BMJ 344 doi:10.1136/bmj.e4285 Endgames Pitfalls of statistical hypothesis testing: multiple testing Published: 29 August 2014; BMJ 349 doi:10.1136/bmj.g5310 Endgames Confidence intervals, P values, and statistical significance Published: 27 February 2015; BMJ 350 doi:10.1136/bmj.h1113 Research Methods & Reporting Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians Published: 12 July 2018; BMJ 362 doi:10.1136/bmj.k601 See more Units of sampling, observation, and analysis BMJ October 09, 2015, 351 h5396; DOI: https://doi.org/10.1136/bmj.h5396 Randomised controlled trials: understanding confounding BMJ September 25, 2015, 351 h5119; DOI: https://doi.org/10.1136/bmj.h5119 Understanding the ecological fallacy BMJ September 21, 2015, 351 h4773; DOI: https://doi.org/10.1136/bmj.h4773 How to read a funnel plot in a meta-analysis BMJ September 16, 2015, 351 h4718; DOI: https://doi.org/10.1136/bmj.h4718 Understanding the Hawthorne effect BMJ September 04, 2015, 351 h4672; DOI: https://doi.org/10.1136/bmj.h4672 Cited by... Contraception prescribing in England during the COVID-19 pandemicAbstract Fulltext PDF Reading Mendelian randomisation studies: a guide, glossary, and checklist for cliniciansAbstract Fulltext PDF Confidence intervals, P values, and statistical significanceAbstract Fulltext PDF Pitfalls of statistical hypothesis testing: multiple testingAbstract Fulltext PDF
