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Statistical methods for bioimpedance analysis


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Hulley SB, Cummings SR, Browner WS, Grady D, Hearst N, Newman TB. 2nd ed. Philadelphia: Lippincott Williams and Wilkins; 2001. Getting ready to estimate sample size: Hypothesis and underlying principles In: Designing Clinical Research-An epidemiologic approach; pp. 51–63.HulleySBCummingsSRBrownerWSGradyDHearstNNewmanTB2nd ed. Philadelphia: Lippincott Williams and Wilkins; 2001. Getting ready to estimate sample size: Hypothesis and underlying principles In: Designing Clinical Research-An epidemiologic approach5163Search in Google Scholar

Bacchetti P, Wolf LE, Segal MR and McCulloch CE. Ethics and sample size. Am. J. Epidemiol. 2005;161(2):105-110. http://dx.doi.org/10.1093/aje/kwi01410.1093/aje/kwi014BacchettiPWolfLESegalMRMcCullochCEEthics and sample size. AmJ. Epidemiol20051612105110http://dx.doi.org/10.1093/aje/kwi014Open DOISearch in Google Scholar

Bonferroni CE. Teoria statistica delle classi e calcolo delle probabilit `a. Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze. 1936;8:3-62.BonferroniCETeoria statistica delle classi e calcolo delle probabilit `aPubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze19368362Search in Google Scholar

Miller, RG. Simultaneous statistical inference. 2nd ed. Springer Verlag. 1981, pp. 6-8. http://dx.doi.org/10.1007/978-1-4613-8122-8MillerRGSimultaneous statistical inference. 2nd ed. Springer Verlag198168http://dx.doi.org/10.1007/978-1-4613-8122-810.1007/978-1-4613-8122-8Search in Google Scholar

Grimnes S and Martinsen ØG. Bioimpedance and Bioelectricity Basics. 2nd edition. Academic Press. 2008.GrimnesSMartinsenØGBioimpedance and Bioelectricity Basics. 2nd editionAcademic Press200810.1016/B978-0-12-374004-5.00010-6Search in Google Scholar

Bland JM and Bland DG. Statistics Notes: One and two sided tests of significance BMJ. 1994;309:248. http://dx.doi.org/10.1136/bmj.309.6949.248BlandJMBlandDGStatistics Notes: One and two sided tests of significance BMJ1994309248http://dx.doi.org/10.1136/bmj.309.6949.24810.1136/bmj.309.6949.248Search in Google Scholar

Dowdy S, Wearden S and Chilko D. Statistics for research. 3rd Edition, Wiley-Interscience. 2011.DowdySWeardenSChilkoDStatistics for research. 3rd EditionWiley-Interscience2011Search in Google Scholar

Schmider E, Ziegler M, Danay E, Beyer L and Bühner M. Is it really robust? Reinvestigating the robustness of ANOVA against violations of the normal distribution assumption. Methodology: Europ. J. Res. Meth. Behav. Social Sci. 2010;6:147-151.SchmiderEZieglerMDanayEBeyerLBühnerM.Is it really robust? Reinvestigating the robustness of ANOVA against violations of the normal distribution assumption. Methodology: EuropJ. Res. Meth. Behav. Social Sci20106147151Search in Google Scholar

Sheskin DJ. Handbook of parametric and nonparametric statistical procedures. CRC Press. 2011.SheskinDJHandbook of parametric and nonparametric statistical proceduresCRC Press2011Search in Google Scholar

Sawilowsky SS, Blair RC and Higgins JJ. An Investigation of the Type I Error and Power Properties of the Rank Transform Procedure in Factorial ANOVA. J. Educ. Stat. 1989;14:255-267. http://dx.doi.org/10.2307/116501810.3102/10769986014003255SawilowskySSBlairRCHigginsJJ.An Investigation of the Type I Error and Power Properties of the Rank Transform Procedure in Factorial ANOVA. JEduc. Stat198914255267http://dx.doi.org/10.2307/1165018Open DOISearch in Google Scholar

Mariscuilo LA and Levin JR. Multivariate statistics in the social sciences: A researcher's guide. Brooks/Cole Pub. Co. (Monterey, California). 1983.MariscuiloLALevinJRMultivariate statistics in the social sciences: A researcher's guide. Brooks/Cole Pub. CoMonterey, California1983Search in Google Scholar

Peres-Neto P, Jackson DA and Somers KM. How many principal components? Stopping rules for determining the number of non-trivial axes revisited. Comput. Stat. & Data Anal. 2005;49:974-997. http://dx.doi.org/10.1016/j.csda.2004.06.01510.1016/j.csda.2004.06.015Peres-NetoPJacksonDASomersKMHow many principal components? Stopping rules for determining the number of non-trivial axes revisitedComput. Stat. & Data Anal200549974997http://dx.doi.org/10.1016/j.csda.2004.06.015Open DOISearch in Google Scholar

Ryan TP. Modern Regression Methods. 2nd ed. Wiley series in probability and statistics. Wiley. 2008RyanTP Modern Regression Methods. 2nd ed. Wiley series in probability and statisticsWiley200810.1002/9780470382806Search in Google Scholar

Tabachnick BG and Fidell LS. Using multivariate statistics (3. ed.). Pearson. New York. 1996.TabachnickBGFidellLSUsing multivariate statistics (3. ed.)PearsonNew York1996Search in Google Scholar

Breiman L, Friedman J, Olshen R and Stone C. Classification and Regression Trees. Belmont, California: Wadsworth. Dowdy, Wearden, Chilko. Statistics for Research. Wiley Series in Probability and Statistics. 1984.BreimanLFriedmanJOlshenRStoneCClassification and Regression Trees. Belmont, California: Wadsworth. Dowdy, Wearden, Chilko. Statistics for Research. Wiley Series in Probability and Statistics1984Search in Google Scholar

Dreiseitl S and Ohno-Machado L. Logistic regression and artificial neural network classification models: a methodology review. J. Biomed. Inform. 2003;35:352-359. http://dx.doi.org/10.1016/S1532-0464(03)00034-0DreiseitlSOhno-MachadoLLogistic regression and artificial neural network classification models: a methodology reviewJ. Biomed. Inform200335352359http://dx.doi.org/10.1016/S1532-0464(03)00034-010.1016/S1532-0464(03)00034-0Search in Google Scholar

Kotsiantis SB. Supervised Machine Learning: A Review of Classification Techniques. Informatica. 2007;31:249-268.KotsiantisSBSupervised Machine Learning: A Review of Classification TechniquesInformatica200731249268Search in Google Scholar

Rani P, Liu C, Sarkar N and Vanman E. An empirical study of machine learning techniques for affect recognition in human-robot interaction. Pattern Anal Applic. 2006;9:58-69. http://dx.doi.org/10.1007/s10044-006-0025-y10.1007/s10044-006-0025-yRaniPLiuCSarkarNVanmanE.An empirical study of machine learning techniques for affect recognition in human-robot interactionPattern Anal Applic200695869http://dx.doi.org/10.1007/s10044-006-0025-yOpen DOISearch in Google Scholar

JCGM 200:2012. International vocabulary of metrology – Basic and general concepts and associated terms (VIM) 3. ed.JCGM2002012International vocabulary of metrology – Basic and general concepts and associated terms (VIM) 3. edSearch in Google Scholar

Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad. Emerg. Med. 1996;3(9):895-900.BudererNMStatistical methodology: IIncorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad. Emerg. Med19963989590010.1111/j.1553-2712.1996.tb03538.x8870764Search in Google Scholar

Malhotra RK and Indrayan A. A simple nomogram for sample size for estimating sensitivity and specificity of medical tests. Indian J Ophthalmol. 2010;58:519-522. http://dx.doi.org/10.4103/0301-4738.7169910.4103/0301-4738.7169920952837MalhotraRKIndrayanAA simple nomogram for sample size for estimating sensitivity and specificity of medical testsIndian J Ophthalmol201058519522http://dx.doi.org/10.4103/0301-4738.71699Open DOISearch in Google Scholar

Bland JM and Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;8:307-310. http://dx.doi.org/10.1016/S0140-6736(86)90837-8BlandJMAltmanDGStatistical methods for assessing agreement between two methods of clinical measurementLancet19868307310http://dx.doi.org/10.1016/S0140-6736(86)90837-810.1016/j.ijnurstu.2009.10.001Search in Google Scholar

Zaki R, Bulgiba A, Ismail R and Ismail NA. Statistical Methods Used to Test for Agreement of Medical Instruments Measuring Continuous Variables in Method Comparison Studies: A Systematic Review. PLOS one. 2012;7:e37908. http://dx.doi.org/10.1371/journal.pone.003790810.1371/journal.pone.003790822662248ZakiRBulgibaAIsmailRIsmailNAStatistical Methods Used to Test for Agreement of Medical Instruments Measuring Continuous Variables in Method Comparison Studies: A Systematic ReviewPLOS one20127e37908http://dx.doi.org/10.1371/journal.pone.0037908Open DOISearch in Google Scholar

Critchley LAH and Critchley JAJH. A Meta-Analysis of Studies Using Bias and Precision Statistics to Compare Cardiac Output Measurement Techniques. J. Clin. Monitor. Comput. 1999;15:85-91. http://dx.doi.org/10.1023/A:100998261138610.1023/A:1009982611386CritchleyLAHCritchleyJAJHA Meta-Analysis of Studies Using Bias and Precision Statistics to Compare Cardiac Output Measurement TechniquesJ. Clin. Monitor. Comput1999158591http://dx.doi.org/10.1023/A:1009982611386Open DOISearch in Google Scholar

Bland JM and Altman DG. A Note on the use of the Intraclass Correlation Coefficient in the Evaluation of Agreement between two Methods of Measurement. Comput. Biol. Med. 1990;20:337-340. http://dx.doi.org/10.1016/0010-4825(90)90013-F10.1016/0010-4825(90)90013-F2257734BlandJMAltmanDGA Note on the use of the Intraclass Correlation Coefficient in the Evaluation of Agreement between two Methods of MeasurementComput. Biol. Med199020337340http://dx.doi.org/10.1016/0010-4825(90)90013-FOpen DOISearch in Google Scholar

Lin L. Overview of Agreement Statistics for Medical Devices. J. Biopharm. Stat. 2007;18:126-144. http://dx.doi.org/10.1080/1054340070166829010.1080/10543400701668290LinLOverview of Agreement Statistics for Medical DevicesJ. Biopharm. Stat200718126144http://dx.doi.org/10.1080/1054340070166829018161545Open DOISearch in Google Scholar

Arlot S and Celisse A. A survey of cross-validation procedures for model selection. Statistics Surveys. 2010;4:40-79. http://dx.doi.org/10.1214/09-SS05410.1214/09-SS054ArlotSCelisseAA survey of cross-validation procedures for model selectionStatistics Surveys201044079http://dx.doi.org/10.1214/09-SS054Open DOISearch in Google Scholar

Devroye Luc P and Wagner TJ. Distribution-Free performance Bounds for Potential Function Rules. IEEE Trans. Inform. Theory. 1979;25:601-604. http://dx.doi.org/10.1109/TIT.1979.105608710.1109/TIT.1979.1056087DevroyeLuc PWagnerTJDistribution-Free performance Bounds for Potential Function RulesIEEE Trans. Inform. Theory197925601604http://dx.doi.org/10.1109/TIT.1979.1056087Open DOISearch in Google Scholar

Geisser S. The predictive sample reuse method with applications. J. Amer. Statist. Assoc. 1975;60:320-328.GeisserSThe predictive sample reuse method with applicationsJ. Amer. Statist. Assoc19756032032810.1080/01621459.1975.10479865Search in Google Scholar

De Vet HCW, Terwee CB, Knol DL and Bouter LM. When to use agreement versus reliability measures. J. Clin. Epidem. 2006;59:1033-1039. http://dx.doi.org/10.1016/j.jclinepi.2005.10.01510.1016/j.jclinepi.2005.10.015De VetHCWTerweeCBKnolDLBouterLMWhen to use agreement versus reliability measuresJ. Clin. Epidem20065910331039http://dx.doi.org/10.1016/j.jclinepi.2005.10.01516980142Open DOISearch in Google Scholar

Kottner J, Audige L, Brorson S, Donner A, Gajewski BJ, Hróbjartsson A, Roberts C, Shoukri M and Streiner DL. Guidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposed. Int. J. Nursing Studies 2011;48:661-671. http://dx.doi.org/10.1016/j.ijnurstu.2011.01.01610.1016/j.ijnurstu.2011.01.016KottnerJAudigeLBrorsonSDonnerAGajewskiBJHróbjartssonARobertsCShoukriMStreinerDLGuidelines for Reporting Reliability and Agreement Studies (GRRAS) were proposedInt. J. Nursing Studies201148661671http://dx.doi.org/10.1016/j.ijnurstu.2011.01.016Open DOISearch in Google Scholar

Barlett JW and Frost C. Reliability, repeatability and reproducibility: Analysis of measurement errors in continuous variables. Ultrasound Obstet. Gynecol. 2008;31:466-475. http://dx.doi.org/10.1002/uog.525610.1002/uog.525618306169BarlettJWFrostCReliability, repeatability and reproducibility: Analysis of measurement errors in continuous variablesUltrasound Obstet. Gynecol200831466475http://dx.doi.org/10.1002/uog.5256Open DOISearch in Google Scholar

Weir JP. Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM. J. Strength Cond Res. 2005;19:231-240.15705040WeirJPQuantifying test-retest reliability using the intraclass correlation coefficient and the SEMJ. Strength Cond Res20051923124010.1519/00124278-200502000-00038Search in Google Scholar

Zaki R, Bulgiba A, Nordin N and Ismail NA. A systematic review of statistical methods used to test for reliability of medical instruments measuring continuous variables. Iranian J. Basic Med. Sci. 2013;16:803-807.ZakiRBulgibaANordinNIsmailNAA systematic review of statistical methods used to test for reliability of medical instruments measuring continuous variablesIranian J. Basic Med. Sci201316803807Search in Google Scholar

Nunnaly JC and Bernstein IH. Psychometric Theory. New York: McGrwaw-Hill. 1994.NunnalyJCBernsteinIHPsychometric TheoryNew YorkMcGrwaw-Hill1994Search in Google Scholar

Lalkhen AG and McCluskey A. Clinical tests: sensitivity and specificity. Contin. Educ. Anaesth. Crit. Care. Pain. 2008;8:221-223. ttp://dx.doi.org/10.1093/bjaceaccp/mkn04110.1093/bjaceaccp/mkn041LalkhenAGMcCluskeyAClinical tests: sensitivity and specificityContin. Educ. Anaesth. Crit. Care. Pain20088221223ttp://dx.doi.org/10.1093/bjaceaccp/mkn041Open DOISearch in Google Scholar

ISO 5725-1:1994 Accuracy (trueness and precision) of measurement methods and results – Part 1: General principles and definitionsISO5725-11994Accuracy (trueness and precision) of measurement methods and results – Part 1: General principles and definitionsSearch in Google Scholar

Bland JM and Altman DG. Measuring agreement in method comparison studies. Stat. Methods Med. Res. 1999;8:135-160. http://dx.doi.org/10.1191/09622809967381927210.1177/09622802990080020410501650BlandJMAltmanDGMeasuring agreement in method comparison studiesStat. Methods Med. Res19998135160http://dx.doi.org/10.1191/096228099673819272Open DOISearch in Google Scholar

Metz CE. Basic principles of ROC analysis. Semin. Nucl. Med. 1978;8:283-298. http://dx.doi.org/10.1016/S0001-2998(78)80014-210.1016/S0001-2998(78)80014-2112681MetzCEBasic principles of ROC analysisSemin. Nucl. Med19788283298http://dx.doi.org/10.1016/S0001-2998(78)80014-2Open DOISearch in Google Scholar

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