Other Programs

accelerometer

daarem

  • Implements the DAAREM method for accelerating the convergence of slow, monotone sequences from smooth, fixed-point iterations such as the EM algorithm.
  • Faculty: Nicholas Henderson. Download: Github, CRAN.

IRLS

  • Implementation of iteratively re-weighted least squares algorithm (IRLS) algorithm for generalized linear model in C++.
  • Faculty: Xiaoquan William Wen. Download: Github.

metaFuse

  • Fused lasso approach in regression coefficient clustering.
  • Faculty: Peter X.K. Song. Download: Website.
  • Reference: Tang, L., & Song, P.X.K. (2016). Fused Lasso Approach in Regression Coefficients Clustering -- Learning Parameter Heterogeneity in Data Integration. Journal of Machine Learning Research, 17(113):1−23.

MODAC

  • Method of divide-and-combine in regularized generalized linear models for big data.
  • Faculty: Peter X.K. Song. Download: Website.
  • Reference: Tang, L., Zhou, L., and Song, P.X.K. (2016). Method of Divide-and-Combine in Regularised Generalised Linear Models for Big Data. arXiv preprint arXiv:1611.06208.

HDDesign

  • Determine the sample size for high dimensional classification studies.
  • Faculty: Peter X.K. Song. Download: Website.
  • Reference: Sanchez, B.N., Wu, M., Song, P.X.K., and Wang W. (2016). Study design in high-dimensional classification analysis. Biostatistics, doi: 10.1093/biostatistics/kxw018.

RCD

SAMBA

  • Misclassification of EHR (Electronic Health Record)-derived disease status and lack of representativeness of the study sample can result in substantial bias in effect estimates and can impact power and type I error for association tests. 'SAMBA' implements several methods for obtaining bias-corrected point estimates along with valid standard errors as proposed in Beesley and Mukherjee (2020) <doi:10.1101/2019.12.26.19015859>, currently under review.
  • Faculty: Bhramar Mukherjee. Download: CRAN, Github.
  • References: Beesley, L.J. and Mukherjee, B., 2019. Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification. medRxiv.

SMART Sample Size Calculator

  • Sample size calculator applet for SMART studies.
  • Faculty: Kelley Kidwell. Download: Shiny Application.
  • Reference: Oetting, A., Levy, J., Weiss, R. and Murphy, S. (2007), "Statistical methodology for a SMART design in the development of adaptive treatment strategies ," in Causality and Psychopathology: Finding the Determinants of Disorders and their Cures (American Psychopathological Association), Arlington, VA: American Psychiatric Publishing, Inc., pp. 179-205.