BayesMetab: treatment of missing values in metabolomic studies using a Bayesian modeling approach

[1] McNeish D(2016)On using Bayesian methods to address small sample problems Struct Equ Model Multidiscip J 23 750-773

[2] Dunson DB(2001)Commentary: practical advantages of Bayesian analysis of epidemiologic data Am J Epidemiol 153 1222-1226

[3] Depaoli S(2017)Improving transparency and replication in Bayesian statistics: the WAMBS-checklist Psychol Methods 22 240-351

[4] Van de Schoot R(2015)A Bayesian approach to multilevel structural equation modeling with continuous and dichotomous outcomes Struct Equ Model Multidiscip J 22 327-314

[5] Depaoli S(2016)The effect of small sample size on two-level model estimates: a review and illustration Educ Psychol Rev 28 295-722

[6] Clifton JP(2013)Accounting for undetected compounds in statistical analyses of mass spectrometry ‘omic studies Stat Appl Genet Mol Biol 12 703-2034

[7] McNeish DM(2009)A statistical framework for protein quantitation in bottom-up MS-based proteomics Bioinformatics 25 2028-540

[8] Stapleton LM(2012)Normalization and missing value imputation for label-free LC-MS analysis BMC bioinformatics 13 S5-306

[9] Taylor SL(1987)The calculation of posterior distributions by data augmentation J Am Stat Assoc 82 528-99

[10] Leiserowitz GS(2011)Sparse Bayesian infinite factor models Biometrika 98 291-642

[1] McNeish D(2016)On using Bayesian methods to address small sample problems Struct Equ Model Multidiscip J 23 750-773

[2] Dunson DB(2001)Commentary: practical advantages of Bayesian analysis of epidemiologic data Am J Epidemiol 153 1222-1226

[3] Depaoli S(2017)Improving transparency and replication in Bayesian statistics: the WAMBS-checklist Psychol Methods 22 240-351

[4] Van de Schoot R(2015)A Bayesian approach to multilevel structural equation modeling with continuous and dichotomous outcomes Struct Equ Model Multidiscip J 22 327-314

[5] Depaoli S(2016)The effect of small sample size on two-level model estimates: a review and illustration Educ Psychol Rev 28 295-722

[6] Clifton JP(2013)Accounting for undetected compounds in statistical analyses of mass spectrometry ‘omic studies Stat Appl Genet Mol Biol 12 703-2034

[7] McNeish DM(2009)A statistical framework for protein quantitation in bottom-up MS-based proteomics Bioinformatics 25 2028-540

[8] Stapleton LM(2012)Normalization and missing value imputation for label-free LC-MS analysis BMC bioinformatics 13 S5-306

[9] Taylor SL(1987)The calculation of posterior distributions by data augmentation J Am Stat Assoc 82 528-99

[10] Leiserowitz GS(2011)Sparse Bayesian infinite factor models Biometrika 98 291-642