Acceleration of the EM algorithm by using quasi‐Newton methods M Jamshidian, RI Jennrich Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 1997 | 264 | 1997 |

Conjugate gradient acceleration of the EM algorithm M Jamshidian, RI Jennrich Journal of the American Statistical Association 88 (421), 221-228, 1993 | 262 | 1993 |

ML estimation of mean and covariance structures with missing data using complete data routines M Jamshidian, PM Bentler Journal of Educational and behavioral Statistics 24 (1), 21-24, 1999 | 174 | 1999 |

Beneficiary effect of dietary soy protein on lowering plasma levels of lipid and improving kidney function in type II diabetes with nephropathy L Azadbakht, R Shakerhosseini, S Atabak, M Jamshidian, Y Mehrabi, ... European journal of clinical nutrition 57 (10), 1292-1294, 2003 | 158 | 2003 |

Tests of homoscedasticity, normality, and missing completely at random for incomplete multivariate data M Jamshidian, S Jalal Psychometrika 75 (4), 649-674, 2010 | 144 | 2010 |

MissMech: an R package for testing homoscedasticity, multivariate normality, and missing completely at random (MCAR) M Jamshidian, SJ Jalal, C Jansen Journal of Statistical software 56 (6), 1-31, 2014 | 143 | 2014 |

Standard errors for EM estimation M Jamshidian, RI Jennrich Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000 | 130 | 2000 |

Multiple comparison of several linear regression models W Liu, M Jamshidian, Y Zhang Journal of the American Statistical Association 99 (466), 395-403, 2004 | 81 | 2004 |

On algorithms for restricted maximum likelihood estimation M Jamshidian Computational statistics & data analysis 45 (2), 137-157, 2004 | 54 | 2004 |

Simulation-based simultaneous confidence bands in multiple linear regression with predictor variables constrained in intervals W Liu, M Jamshidian, Y Zhang, J Donnelly Journal of Computational and Graphical Statistics 14 (2), 459-484, 2005 | 46 | 2005 |

On algorithms for the nonparametric maximum likelihood estimator of the failure function with censored data Y Zhang, M Jamshidian Journal of Computational and Graphical Statistics 13 (1), 123-140, 2004 | 40 | 2004 |

The gamma‐frailty Poisson model for the nonparametric estimation of panel count data Y Zhang, M Jamshidian Biometrics 59 (4), 1099-1106, 2003 | 35 | 2003 |

Strategies for analysis of incomplete data M Jamshidian Handbook of data analysis, 113-130, 2004 | 27 | 2004 |

A modified Newton method for constrained estimation in covariance structure analysis M Jamshidian, PM Bentler Computational Statistics & Data Analysis 15 (2), 133-146, 1993 | 27 | 1993 |

A study of partial F tests for multiple linear regression models M Jamshidian, RI Jennrich, W Liu Computational statistics & data analysis 51 (12), 6269-6284, 2007 | 25 | 2007 |

Gramian matrices in covariance structure models PM Bentler, M Jamshidian Applied Psychological Measurement 18 (1), 79-94, 1994 | 25 | 1994 |

Pooling batches in drug stability study by using constant‐width simultaneous confidence bands W Liu, M Jamshidian, Y Zhang, F Bretz, XL Han Statistics in Medicine 26 (14), 2759-2771, 2007 | 24 | 2007 |

Using complete data routines for ML estimation of mean and covariance structures with missing data M Jamshidian, PM Bentler Journal of Educational and Behavioral Statistics 23, 21-41, 1999 | 24 | 1999 |

A quasi-Newton method for minimum trace factor analysis M Jamshidian, PM Bentler Journal of Statistical Computation and Simulation 62 (1-2), 73-89, 1998 | 24 | 1998 |

A note on parameter and standard error estimation in adaptive robust regression M Jamshidian Journal of statistical computation and simulation 71 (1), 11-27, 2001 | 23 | 2001 |