[web] Seaman JE / Not significant, but Important? Know the pitfalls of p-values and formal hypothesis tests / http://asq.org/quality-progress/2011/08/statistics-roundtable/not-significant-butimportant.html

[web] Matrixx Initiatives / Siracusano / http://en.wikipedia.org/wiki/Matrixx_Initiatives,_Inc._v._Siracusano

[journal] Meehl PE / 1967 / Theory-testing in psychology and physics: a methodological paradox / Philosophy Sci 34 : 103~115

[journal] Meehl PE / 1978 / Theoretical risks and tabular asterisks: sir Karl, sir Ronald, and the slow progress of soft psychology / J Consult Clin Psychol 46 : 806~834

[journal] Cohen J / 1994 / The earth is round / Am Psychol 49 : 997~1003

[book] Schmidt FL / 1997 / Eight common but false objections to the discontinuation of significance testing in the analysis of research data, In What if there were no significance tests? / Lawrence Erlbaum Associates : 37~64

[web] NHST problems / NHST problems / URL:http://www.faculty.biol.ttu.edu/strauss/stats/LectureNotes/20_NHSTProblems.pdf

[web] Fallacy of affirming the consequent / Fallacy of affirming the consequent / http://terms.naver.com/entry.nhn?cid=1137&docId=275047&mobile&categoryId=1137

[journal] Pollard P / 1987 / On the probability of making type I errors / Psychol Bull 102 : 159~163

[journal] Reese HW / 1999 / Problems of statistical inference / Mex J Behav Anal 25 : 39~68

[journal] Goodman S / 2008 / A dirty dozen: twelve p-value misconceptions / Semin Hematol 45 : 135~140

[journal] Hubbard R / 2008 / Why p values are not a useful measure of evidence in statistical significance sesting / Theory Psychol 18 : 69~88

[journal] Sterne JAC / 2001 / Sifting the evidence - what’s wrong with significance tests? / BMJ(Clin res) 322 : 226~231

[journal] Johnson, DH / 1999 / The insignificance of statistical significance testing / J Wildlife Manag 63 : 763~772

[journal] Nurminen M / 1997 / Statistical significance - a misconstrued notion in medical research / Scand J Work Environ Health 23 : 232~235

[journal] Schervish MJ / 1996 / P values: what they are and what they are not / Am Stat 50 : 203~206

[journal] Carver RP / 1978 / The case against statistical significance testing / Harvard Educat Review 48 : 378~399

[journal] Nickerson RS / 2000 / Null hypothesis statistical testing: a review of an old and continuing controversy / Psychol Methods 5 : 241~301

[journal] Berger JO / 1987 / Testing a point null hypothesis: the irreconcilability of p values and evidence (with comments) / J Am Stat Assoc 82 : 112~139

[journal] Berger JO / 1987 / Testing precise hypotheses (with comments) / Stat Science 2 : 317~352

[journal] Nester MR / 1996 / An applied statistician’s creed / Statistician 45 : 401~410

[journal] Berger JO / 1988 / Statistical analysis and the illusion of objectivity / Am Scientist 76 : 159~165

[journal] Hubbard, R / 2004 / Alphabet soup: blurring the distinctions between p’s and α’s in psychological research / Theory Psychol 14 : 295~327

[journal] Sellke T / 2001 / Calibration of p values for testing precise null hypotheses / Am Statistician 55 : 62~71

[journal] Gelman A / 2006 / The difference between ‘significant’and ‘not significant’is not itself statistically significant / Am Statistician 60 : 328~331

[web] International committee of medical journal editors / Uniform requirements for manuscripts submitted to biomedical journals / http://www.icmje.org/manuscript_1prepare.html

[journal] Royall RM / 1986 / The effect of sample size on the meaning of significance tests / Am Statistician 40 : 313~315

[journal] Hand DJ / 1998 / Data mining: statistics and more? / Am Statistician 52 : 112~118

[book] Fisher RA / 1966 / The design of experiments / Oliver & Boyd

[book] Fisher BJ / 1978 / R.A. Fisher: The life of a scientist / Wiley

[web] Denis DJ / Alternatives to null hypothesis significance testing. Theory & Science / http://theoryandscience.icaap.org/content/vol4.1/02_denis.html

[journal] Rosenthal R / 1992 / Effect size estimation, significance testing, and the file-drawer problem / J Parapsychol 56 : 57~58

[journal] Vaughan GM / 1969 / Beyond tests of significance: Estimating strength of effects in selected ANOVA designs / Psychol Bulletin 72 : 204~213

[journal] Silva-Aycaguer LC / 2010 / Null hypothesis significance test in health sciences research (1995-2006): statistical analysis and interpretation / BMC Med Res Methodol 10 : 44~

[journal] Schmidt FL / 1996 / Statistical significance testing and cumulative knowledge in psychology: implications for training of researchers / Psychol Methods 1 : 115~129

[journal] Cumming G / 2005 / Inference by eye: confidence intervals and how to read pictures of data / Am Psychol 60 : 170~180

[journal] Schenker N / 2001 / On judging the significance of differences by examining the overlap between confidence intervals / Am Statistician 55 : 182~186

[journal] Wang S / 2013 / Mr. Bayes goes to Washington / Science 339 : 758~759

[journal] Efron B / 2013 / Bayes’Theorem in the twenty-first century / Science 340 : 1177~1178

[web] FDA / Guidance for the use of Bayesian statistics in medical device clinical trials / http://www.fda.gov/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm071072.htm

[journal] Lilford RJ / 1996 / The statistical basis of public policy: a paradigm shift is overdue / Br Med J 313 : 603~607

[journal] Efron B / 1986 / Why isn’t everyone a Bayesian (with discussion)? / Am Statist 40 : 1~11

[journal] Nurminen M / 1987 / Exact Bayesian analysis of two proportions / Scand J Stat 14 : 67~77

[journal] Diaconis P / 1986 / On the consistency of Bayes estimate (with discussion) / Ann Math Stat 14 : 1~67

[journal] Zhang Y / 2011 / Bayesian latent variable models for spatially correlated toothlevel binary data in caries research / Stat Modelling 11 : 25~47

[journal] Tu YK / 2012 / A Bayesian network meta-analysis on comparisons of enamel matrix derivatives, guided tissue regeneration and their combination therapies / J Clin Periodontol 39 : 303~314

[journal] Frosio I / 2013 / Bayesian denoising in digital radiography: a comparison in the dental field / Comput Med Imaging Graph 37 : 28~39

[journal] Freedman L / 1996 / Bayesian statistical methods. A natural way to assess clinical evidence (editorial) / Br Med J 313 : 569~570