Related Publications

  • Kreidler SM, Ringham BA, Muller KE and Glueck DH (2018) Calculating power for the general linear multivariate model with one or more Gaussian covariates. Communications in Statistics – Theory and Methods. DOI: 10.1080/03610926.2018.1433849
  • Ringham BA, Kreidler SM, Muller KE and Glueck DH (2018) On the distribution of summary statistics for missing data. Communications in Statistics – Theory and Methods. DOI: 10.1080/03610926.2018.1425447
  • Chi YY, Glueck DH and Muller KE (2018) Power and sample size for fixed-effects inference in reversible linear mixed models. The American Statistician. DOI: 10.1080/00031305.2017.1415972
  • Zhang X, Muller KE, Goodenow M, and Chi YY (2018) Internal pilot design for balanced repeated measures. Statistics in Medicine, 37, 375-389. DOI: 10.1002/sim.7524
  • Ringham BA, Kreidler SM, Muller KE and Glueck DH (2016) Multivariate test power approximations for balanced linear mixed models in studies with missing data.  Statistics in Medicine, 35, 2921-2937. PMCID: PMC4879605
  • Johnson JL, Kreidler SM, Catellier DJ, Murray DM, Muller KE and Glueck DH (2015) Recommendations for choosing an analysis method that controls Type I error for unbalanced cluster sample designs with Gaussian outcomes.  Statistics in Medicine, 34, 3531-3545. PMID: 26089186
  • Munjal A, Sakhadeo UR, Muller KE, Glueck DH and Kreidler SM (2014) GLIMMPSE Lite: calculating power and sample size on smartphone devices. PLoS One, 9(12):e102082. PMCID: PMC4277287
  • Simpson SL, Edwards LJ, Styner MA and Muller KE (2014) Separability tests for highdimensional, low sample size multivariate repeated measures data.  Journal of Applied Statistics, 41, 2450–2461. PMCID PMC4203479
  • Andridge RR, Shobena AB, Muller KE, and Murray DM (2014) Analytic methods for individually randomized group treatment trials and group-randomized trials when subjects belong to multiple groups.  Statistics in Medicine, 33.  PMCID: PMC4013262
  • Ringham BM, Alonzo TA, Brinton JT, Kreidler SM, Munjal A, Muller KE, and Glueck DH (2014)  Reducing decision errors in the paired comparison of the diagnostic accuracy of screening tests with Gaussian outcomes.  BMC Medical Research Methodology, 14(37).  PMCID: PMC4015908
  • Chi YY, Gribbin MJ, Johnson JL, and Muller KE (2014) Power calculation for overall hypothesis testing with high-dimensional commensurate outcomes.  Statistics in Medicine, 33, 812–827.  PMCID: PMC4072336
  • Simpson, SL, Edwards LJ, Styner MA, and Muller KE (2014) Kronecker product linear exponent AR(1) correlation structures for multivariate repeated measures.  PLOS One, 9(2), e88864.  PMCID: PMC3931642
  • Kreidler SM, Muller KE, Grunwald GK, Ringham BM, Coker-Dukowitz ZT, Sakhadeo UR, Barón AE, and Glueck DH (2013) GLIMMPSE: Online power computation for linear models with and without a baseline covariate.  Journal of Statistical Software, 54(10).  PMCID: PMC3882200
  • Guo Y, Logan HL, Glueck DH, and Muller KE (2013) Selecting a sample size for studies with repeated measures.  BMC Medical Research Methodology, 13(100).  PMCID: PMC3734029
  • Gribbin MJ, Chi YY, Stewart PW, and Muller KE (2013) Confidence regions for repeated measures ANOVA power curves based on estimated covariance.  BMC Medical Research Methodology, 13(57).  PMCID: PMC3738257
  • Chi YY and Muller KE (2013) Two-step hypothesis testing when the number of variables exceeds the sample size.  Communications in Statistics – Simulation and Computation, 42, 1113-1125.  PMCID: PMC4028141
  • Kairalla JA, Coffey CS, Thomann MA, and Muller KE (2012) Adaptive trial designs: a review of barriers and opportunitiesTrials, 13(145).  PMCID: PMC3519822
  • Chi YY, Gribbin MJ, Lamers Y, Gregory JF, and Muller KE (2012) Global hypothesis testing for high-dimensional repeated measures outcomes.  Statistics in Medicine, 31, 724-742.  PMCID: PMC3396026
  • Gurka MJ, Edwards LJ, and Muller KE (2011) Avoiding bias in mixed model inference for fixed effects.  Statistics in Medicine, 30, 2696–2707.  PMCID: PMC3396027
  • Alonzo TA, Brinton JT, Ringham BM, and Glueck DH (2011) Bias in estimating accuracy of a binary screening test with differential disease verification.  Statistics in Medicine, 30, 1852-1864.  PMCID: 3115446
  • Kairalla JA, Muller KE, and Coffey CS (2010) Combining an internal pilot with an interim analysis for single degree of freedom tests.  Communications in Statistics, Theory and Methods, 39(20), 3717-3738.  PMCID: PMC2965034
  • Glueck DH, Karimpour-Fard A, Mandel J, and Muller KE (2010) Probabilities for separating sets of order statistics.  Statistics: A Journal of Theoretical and Applied Statistics, 44, 145-153.  PMCID: PMC3020799
  • Simpson SL, Edwards, LJ, Muller KE Sen, PK, and Styner MA (2010) A linear exponent AR(1) family of correlation structures.  Statistics in Medicine, 29, 1825–1838.  PMCID: PMC4020183
  • Cheng J, Edwards LJ, Maldonado-Molina MM, Komro KA, and Muller KE (2010) Real longitudinal data analysis for real people: Building a good enough mixed model.  Statistics in Medicine, 29, 504-520.  PMCID: PMC2811235
  • Ringham BM, Alonzo TA, Grunwald GK, and Glueck DH (2010) Estimates of sensitivity and specificity can be biased when reporting the results of the second test in a screening trial conducted in series.  BMC Medical Research Methodology, 10(3).  PMCID: PMC2819240
  • Chi YY and Muller KE (2010) Using scientifically and statistically sufficient statistics in comparing image segmentations. Statistics and Its Interface, 3, 91-101.  PMCID: PMC4067051
  • Clement-Spychala ME, Couper D, Zhu H, and Muller KE (2010) Approximating the Geisser-Greenhouse sphericity estimator and its applications to diffusion tensor imaging.  Statistics and Its Interface, 3, 81-90.  PMCID: PMC4114524
  • Glueck DH, Lamb MM, O’Donnell CI, Ringham BM, Brinton JT, Muller KE, Lewin JM, Alonzo TA, and Pisano ED (2009) Bias in trials comparing paired continuous tests can cause researchers to choose the wrong screening modality.  BMC Medical Research Methodology, 9(4).  PMCID: PMC2657218
  • Johnson JL, Muller KE, Slaughter JC, Gurka MJ, Gribbin MJ and Simpson SL (2009) POWERLIB: SAS/IML Software for computing power in multivariate linear models.  Journal of Statistical Software, 30(5) 1-27.  PMCID: PMC4228969
  • O’Donnell CI, Glueck CJ, Fingerlin TE, and Glueck DH (2008) A likelihood model that accounts for censoring due to fetal loss can accurately test the effects of maternal and fetal genotype on the probability of miscarriage.  Human Heredity, 67(1), 57-65.  PMCID: 2755496
  • Kairalla JA, Coffey CS, and Muller KE (2008) GLUMIP 2.0: SAS/IML Software for planning internal pilotsJournal of Statistical Software, 28(7), 1-32.  doi: 10.18637/jss.v028.i07
  • Edwards LJ, Muller KE, Wolfinger RD, Qaqish BF, and Schabenberger O (2008) An R-square statistic for fixed effects in the linear mixed model.  Statistics in Medicine, 27, 6137-6157.  PMCID: PMC2587505
  • Glueck DH, Karimpour-Fard A, Mandel J, Hunter L, and Muller KE (2008) Fast computation by block permanents of cumulative distribution functions of order statistics from several populations.  Communications in Statistics, Theory and Methods, 37, 2815-2824.  PMCID: 2768298
  • Glueck DH, Mandel J, Karimpour-Fard A, Hunter L, and Muller KE (2008) Exact calculations of average power for the Benjamini-Hochberg Procedure.  The International Journal of Biostatistics, 4, article 11.  PMCID: PMC3020656
  • Glueck DH, Muller KE, Karimpour-Fard A, and Hunter L (2008) Expected power for the false discovery rate with independence.  Communications in Statistics – Theory and Methods, 37, 1855-1866.  PMCID: PMC2962418
  • Coffey CS, Kairalla JA, and Muller KE (2007) Practical methods for bounding type I error rate with an internal pilot design.  Communications in Statistics – Theory and Methods, 36, 2143-2157.  PMCID: PMC3867302
  • Ahn J, Marron JS, Muller KE, and Chi YY (2007) The high-dimension, low-sample-size geometric representation holds under mild conditions.  Biometrika, 94, 760-766.  doi:10.1093/biomet/asm050
  • Muller KE, Edwards LJ, Simpson SL, and Taylor DJ (2007) Statistical tests with accurate size and power for balanced linear mixed models.  Statistics in Medicine, 26, 3639–3660.  PMID: 17394132
  • Gurka MJ, Coffey CS, and Muller KE (2007) Internal pilots for a class of linear mixed models with Gaussian and compound symmetric data.  Statistics in Medicine, 26, 4083–4099.  PMCID: PMC4456690
  • Gurka MJ, Edwards LJ, Muller KE, and Kupper LL (2006) Extending the Box-Cox transformation to the linear mixed model.  Journal of the Royal Statistical Society Series A, Statistics in Society, 169, 255-272.
  • Kim H, Gribbin MJ, Muller KE, and Taylor DJ (2006) Analytic, computational, and approximate forms for ratios of noncentral and central gaussian quadratic forms.  Journal of Computational and Graphical Statistics, 15, 443-459.  PMCID: PMC3704188
  • Glueck DH and Muller KE (2003) Adjusting power for a baseline covariate in a linear model.  Statistics in Medicine, 22, 2535-2551. PMCID: PMC2755504
  • Coffey CS and Muller KE (2003) Properties of internal pilots with the univariate approach to repeated measures.  Statistics in Medicine, 22, 2469-2485.  PMID: 12872303
  • Glueck DH and Muller KE (2001) On the expected values of sequences of functions.  Communications in Statistics – Theory and Methods, 30, 363-369.  PMCID: PMC3864817
  • Catellier DJ and Muller KE (2000) Tests for Gaussian repeated measures with missing data in small samples.  Statistics in Medicine, 19, 1101-1114.  PMID: 10790683
  • Coffey CS and Muller KE (2000b) Some distributions and their implications for an internal pilot study with a univariate linear model.  Communications in Statistics – Theory and Methods, 29, 2677-2691.  PMCID: PMC3845535
  • Coffey CS and Muller KE (2000a) Properties of doubly-truncated gamma variables.  Communications in Statistics – Theory and Methods, 29, 851-857.  PMCID: PMC3898536
  • Coffey CS and Muller KE (1999) Exact test size and power of a Gaussian error linear model for an internal pilot study.  Statistics in Medicine, 18, 1199-1214.  PMID: 10363340
  • Glueck DH and Muller KE (1998) On the trace of a wishart.  Communications in Statistics -Theory and Methods, 27:9, 2137-2141.  doi: 10.1080/03610929808832218
  • Muller KE and Pasour VB (1997) Bias in linear model power and sample size due to estimating variance.  Communications in Statistics – Theory and Methods, 26, 839-851.  PMCID: PMC3867303
  • Muller KE and Chen Mok M (1997) The distribution of Cook’s D statistic.  Communications in Statistics – Theory and Methods, 26, 525-546. PMCID: PMC3867306
  • Muller KE and Benignus VA (1992) Increasing scientific power with statistical powerNeurotoxicology and Teratology, 14, 211-219.  PMID: 1386138
  • Muller KE and Peterson BL (1984) Practical methods for computing power in testing the multivariate general linear hypothesisComputational Statistics and Data Analysis, 2, 143-158.  doi: 10.1016/0167-9473(84)90002-1
  • Muller KE (1981) Relationships between redundancy analysis, canonical correlation, and multivariate regression.  Psychometrika, 46, 139-142.  doi: 10.1007/BF02293894