显著性差异 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "显著性差异" in Chinese language version.

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archive.org

Borror, Connie M. Statistical decision making. The Certified Quality Engineer Handbook 3rd. Milwaukee, WI: ASQ Quality Press. 2009: 418–472. ISBN 978-0-873-89745-7.
Dalgaard, Peter. Power and the computation of sample size. Introductory Statistics with R. Statistics and Computing. New York: Springer. 2008: 155–56. ISBN 978-0-387-79053-4. doi:10.1007/978-0-387-79054-1_9.
Redmond, Carol; Colton, Theodore. Clinical significance versus statistical significance. Biostatistics in Clinical Trials. Wiley Reference Series in Biostatistics 3rd. West Sussex, United Kingdom: John Wiley & Sons Ltd. 2001: 35–36. ISBN 978-0-471-82211-0.
Altman, Douglas G. Practical Statistics for Medical Research. New York, USA: Chapman & Hall/CRC. 1999: 167. ISBN 978-0412276309.
Sproull, Natalie L. Hypothesis testing. Handbook of Research Methods: A Guide for Practitioners and Students in the Social Science 2nd. Lanham, MD: Scarecrow Press, Inc. 2002: 49–64. ISBN 978-0-810-84486-5.
Faherty, Vincent. Probability and statistical significance. Compassionate Statistics: Applied Quantitative Analysis for Social Services (With exercises and instructions in SPSS) 1st. Thousand Oaks, CA: SAGE Publications, Inc. 2008: 127–138. ISBN 978-1-412-93982-9.
McKillup, Steve. Probability helps you make a decision about your results. Statistics Explained: An Introductory Guide for Life Scientists 1st. Cambridge, United Kingdom: Cambridge University Press. 2006: 44–56. ISBN 978-0-521-54316-3.
Brian, Éric; Jaisson, Marie. Physico-Theology and Mathematics (1710–1794). The Descent of Human Sex Ratio at Birth. Springer Science & Business Media. 2007: 1–25. ISBN 978-1-4020-6036-6.
Stigler, Stephen M. The History of Statistics: The Measurement of Uncertainty Before 1900. Harvard University Press. 1986: 225–226. ISBN 978-0-67440341-3.
Fisher, Ronald A. Statistical Methods for Research Workers. Edinburgh, UK: Oliver and Boyd. 1925: 43. ISBN 978-0-050-02170-5.
Poletiek, Fenna H. Formal theories of testing. Hypothesis-testing Behaviour. Essays in Cognitive Psychology 1st. East Sussex, United Kingdom: Psychology Press. 2001: 29–48. ISBN 978-1-841-69159-6.
Quinn, Geoffrey R.; Keough, Michael J. Experimental Design and Data Analysis for Biologists 1st. Cambridge, UK: Cambridge University Press. 2002: 46–69. ISBN 978-0-521-00976-8.

cornell.edu

cscu.cornell.edu

StatNews #73: Overlapping Confidence Intervals and Statistical Significance (PDF). [2022-06-19]. （原始内容 (PDF)存档于2020-06-21）.

dartmouth.edu

Statistical Hypothesis Testing. www.dartmouth.edu. [2019-11-11]. （原始内容存档于2020-08-02）.

doi.org

dx.doi.org

Dalgaard, Peter. Power and the computation of sample size. Introductory Statistics with R. Statistics and Computing. New York: Springer. 2008: 155–56. ISBN 978-0-387-79053-4. doi:10.1007/978-0-387-79054-1_9.
Johnson, Valen E. Revised standards for statistical evidence. Proceedings of the National Academy of Sciences. October 9, 2013, 110 (48): 19313–19317. Bibcode:2013PNAS..11019313J. PMC 3845140 . PMID 24218581. doi:10.1073/pnas.1313476110 .
Krzywinski, Martin; Altman, Naomi. Points of significance: Significance, P values and t-tests. Nature Methods. 30 October 2013, 10 (11): 1041–1042. PMID 24344377. doi:10.1038/nmeth.2698 .
Sham, Pak C.; Purcell, Shaun M. Statistical power and significance testing in large-scale genetic studies. Nature Reviews Genetics. 17 April 2014, 15 (5): 335–346. PMID 24739678. S2CID 10961123. doi:10.1038/nrg3706.
John Arbuthnot. An argument for Divine Providence, taken from the constant regularity observed in the births of both sexes (PDF). Philosophical Transactions of the Royal Society of London. 1710, 27 (325–336): 186–190 [2022-06-19]. doi:10.1098/rstl.1710.0011 . （原始内容 (PDF)存档于2021-06-03）.
Neyman, J.; Pearson, E.S. The testing of statistical hypotheses in relation to probabilities a priori. Mathematical Proceedings of the Cambridge Philosophical Society. 1933, 29 (4): 492–510. Bibcode:1933PCPS...29..492N. doi:10.1017/S030500410001152X.
"Conclusions about statistical significance are possible with the help of the confidence interval. If the confidence interval does not include the value of zero effect, it can be assumed that there is a statistically significant result." Prel, Jean-Baptist du; Hommel, Gerhard; Röhrig, Bernd; Blettner, Maria. Confidence Interval or P-Value?. Deutsches Ärzteblatt Online. 2009, 106 (19): 335–9. PMC 2689604 . PMID 19547734. doi:10.3238/arztebl.2009.0335.
Neyman, J. Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability. Philosophical Transactions of the Royal Society A（英语：Philosophical Transactions of the Royal Society A）. 1937, 236 (767): 333–380. Bibcode:1937RSPTA.236..333N. JSTOR 91337. doi:10.1098/rsta.1937.0005 .
Carver, Ronald P. The Case Against Statistical Significance Testing. Harvard Educational Review. 1978, 48 (3): 378–399. S2CID 16355113. doi:10.17763/haer.48.3.t490261645281841.
Ioannidis, John P. A. Why most published research findings are false. PLOS Medicine. 2005, 2 (8): e124. PMC 1182327 . PMID 16060722. doi:10.1371/journal.pmed.0020124.
Amrhein, Valentin; Korner-Nievergelt, Fränzi; Roth, Tobias. The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research. PeerJ. 2017, 5: e3544. PMC 5502092 . PMID 28698825. doi:10.7717/peerj.3544.
Hojat, Mohammadreza; Xu, Gang. A Visitor's Guide to Effect Sizes. Advances in Health Sciences Education. 2004, 9 (3): 241–9. PMID 15316274. S2CID 8045624. doi:10.1023/B:AHSE.0000038173.00909.f6.
Stahel, Werner. Statistical Issue in Reproducibility. Principles, Problems, Practices, and Prospects Reproducibility: Principles, Problems, Practices, and Prospects. 2016: 87–114. ISBN 9781118864975. doi:10.1002/9781118865064.ch5.

harvard.edu

ui.adsabs.harvard.edu

Johnson, Valen E. Revised standards for statistical evidence. Proceedings of the National Academy of Sciences. October 9, 2013, 110 (48): 19313–19317. Bibcode:2013PNAS..11019313J. PMC 3845140 . PMID 24218581. doi:10.1073/pnas.1313476110 .
Neyman, J.; Pearson, E.S. The testing of statistical hypotheses in relation to probabilities a priori. Mathematical Proceedings of the Cambridge Philosophical Society. 1933, 29 (4): 492–510. Bibcode:1933PCPS...29..492N. doi:10.1017/S030500410001152X.
Neyman, J. Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability. Philosophical Transactions of the Royal Society A（英语：Philosophical Transactions of the Royal Society A）. 1937, 236 (767): 333–380. Bibcode:1937RSPTA.236..333N. JSTOR 91337. doi:10.1098/rsta.1937.0005 .

jstor.org

Neyman, J. Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability. Philosophical Transactions of the Royal Society A（英语：Philosophical Transactions of the Royal Society A）. 1937, 236 (767): 333–380. Bibcode:1937RSPTA.236..333N. JSTOR 91337. doi:10.1098/rsta.1937.0005 .

nih.gov

ncbi.nlm.nih.gov

Johnson, Valen E. Revised standards for statistical evidence. Proceedings of the National Academy of Sciences. October 9, 2013, 110 (48): 19313–19317. Bibcode:2013PNAS..11019313J. PMC 3845140 . PMID 24218581. doi:10.1073/pnas.1313476110 .
Krzywinski, Martin; Altman, Naomi. Points of significance: Significance, P values and t-tests. Nature Methods. 30 October 2013, 10 (11): 1041–1042. PMID 24344377. doi:10.1038/nmeth.2698 .
Sham, Pak C.; Purcell, Shaun M. Statistical power and significance testing in large-scale genetic studies. Nature Reviews Genetics. 17 April 2014, 15 (5): 335–346. PMID 24739678. S2CID 10961123. doi:10.1038/nrg3706.
"Conclusions about statistical significance are possible with the help of the confidence interval. If the confidence interval does not include the value of zero effect, it can be assumed that there is a statistically significant result." Prel, Jean-Baptist du; Hommel, Gerhard; Röhrig, Bernd; Blettner, Maria. Confidence Interval or P-Value?. Deutsches Ärzteblatt Online. 2009, 106 (19): 335–9. PMC 2689604 . PMID 19547734. doi:10.3238/arztebl.2009.0335.
Ioannidis, John P. A. Why most published research findings are false. PLOS Medicine. 2005, 2 (8): e124. PMC 1182327 . PMID 16060722. doi:10.1371/journal.pmed.0020124.
Amrhein, Valentin; Korner-Nievergelt, Fränzi; Roth, Tobias. The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research. PeerJ. 2017, 5: e3544. PMC 5502092 . PMID 28698825. doi:10.7717/peerj.3544.
Hojat, Mohammadreza; Xu, Gang. A Visitor's Guide to Effect Sizes. Advances in Health Sciences Education. 2004, 9 (3): 241–9. PMID 15316274. S2CID 8045624. doi:10.1023/B:AHSE.0000038173.00909.f6.

semanticscholar.org

api.semanticscholar.org

Sham, Pak C.; Purcell, Shaun M. Statistical power and significance testing in large-scale genetic studies. Nature Reviews Genetics. 17 April 2014, 15 (5): 335–346. PMID 24739678. S2CID 10961123. doi:10.1038/nrg3706.
Carver, Ronald P. The Case Against Statistical Significance Testing. Harvard Educational Review. 1978, 48 (3): 378–399. S2CID 16355113. doi:10.17763/haer.48.3.t490261645281841.
Hojat, Mohammadreza; Xu, Gang. A Visitor's Guide to Effect Sizes. Advances in Health Sciences Education. 2004, 9 (3): 241–9. PMID 15316274. S2CID 8045624. doi:10.1023/B:AHSE.0000038173.00909.f6.

semanticscholar.org

Carver, Ronald P. The Case Against Statistical Significance Testing. Harvard Educational Review. 1978, 48 (3): 378–399. S2CID 16355113. doi:10.17763/haer.48.3.t490261645281841.

ualberta.ca

stat.ualberta.ca

Hooper, Peter. What is P-value? (PDF). University of Alberta, Department of Mathematical and Statistical Sciences. [November 10, 2019]. （原始内容 (PDF)存档于2020-03-31）.

web.archive.org

Statistical Hypothesis Testing. www.dartmouth.edu. [2019-11-11]. （原始内容存档于2020-08-02）.
John Arbuthnot. An argument for Divine Providence, taken from the constant regularity observed in the births of both sexes (PDF). Philosophical Transactions of the Royal Society of London. 1710, 27 (325–336): 186–190 [2022-06-19]. doi:10.1098/rstl.1710.0011 . （原始内容 (PDF)存档于2021-06-03）.
StatNews #73: Overlapping Confidence Intervals and Statistical Significance (PDF). [2022-06-19]. （原始内容 (PDF)存档于2020-06-21）.
Hooper, Peter. What is P-value? (PDF). University of Alberta, Department of Mathematical and Statistical Sciences. [November 10, 2019]. （原始内容 (PDF)存档于2020-03-31）.

wikipedia.org

en.wikipedia.org

Neyman, J. Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability. Philosophical Transactions of the Royal Society A（英语：Philosophical Transactions of the Royal Society A）. 1937, 236 (767): 333–380. Bibcode:1937RSPTA.236..333N. JSTOR 91337. doi:10.1098/rsta.1937.0005 .

york.ac.uk

John Arbuthnot. An argument for Divine Providence, taken from the constant regularity observed in the births of both sexes (PDF). Philosophical Transactions of the Royal Society of London. 1710, 27 (325–336): 186–190 [2022-06-19]. doi:10.1098/rstl.1710.0011 . （原始内容 (PDF)存档于2021-06-03）.