Software

• SAS Macro and Demonstrations For Estimating Usual Intake Distributions of Food and Associated Individual-Level Predictors for Diet-Disease Relationships
  This site is based on our work involving the estimation of the usual intake distributyion for nutrients and episodically consumed foods. In addition, we estimate individual-level usual intake for use in regression calibration analysis of diet-disease relationships.
  • Programs for Usual Intake
    
  
  
• SAS Macro for Haplotype Analysis
  The SAS macro HapReg implements the haplotype-based genetic association analysis for case-control studies, using a flexible model for gene-environment association allowing haplotypes to be potentially related with environmental exposures. The novel methodology is proposed by Chen, Chatterjee, and Carroll (2007, Retrospective Analysis of Haplotype-Based Case-Control Studies Under a Flexible Model for Gene-Environment Association, under revision).
  • Programs for Haplotype Analysis
    
  
  
• Wavelet-Based Functional Mixed Model Methodology, Windows
  These are programs based upon the work of Jeffrey Morris and Raymond Carroll, 2006, Journal of the Royal Statistical Society, Series B, 68, 179-199
  • Programs for DownLoad
    
  
  
• MatLab and R Programs for Mixtures of Berkson and Classical Measurement Errors in the Nevada Test Site Study
  These are programs based upon the work of Yehua Li, Annamaria Guolo, F. Owen Hoffman and Raymond J. Carroll. There are Bayesian and Monte-Carlo EM programs for the analysis of these important radiation data.
  • Programs for Mixed Errors
    
  
  
• MatLab Programs for Retrospective Gene Environment Interaction Studies
  This program allows for population-based case-control analysis of gene-environment interaction studies. Our novel methodology leads to much more efficient estimation of risk and interaction parameters than does ordinary logistic regression.
  • Programs for Gene-Environment Interactions in Case-Control Studies
    Based on the 2005 paper in Biometrika by Nilanjan Chatterjee and Raymond Carroll, "Semiparametric Maximum Likelihood Estimation in Case-Control Studies of Gene-Enviroment Interactions". A generalization of the this work to account for haplotypes is in HapReg described above.
  
  
• Programs called in the Measurement Error Short Course at ENAR, 2008
  These are Stata, R2WinBUGS and some SAS Code for our measurement error short course.
  • Link to Programs
    
• MatLab
  The following programs are in zipped directories. The various utility directories need to be unzipped since some of the functions call them.
  • Raymond Carroll's Utility Directory
    Directory is called "carroll_utilities_directory"
  • David Ruppert's Utility Functions
    Directory is called "utility".
  • SIMEX and Bayes Programs for Gaussian and Logistic Regression in the Instrumental Variables Problem
    Uses regression splines. The set of programs is self-contained, i.e., call no other of my directories. Based on a paper Nonlinear and Nonparametric Regression and Instrumental Variables by Raymond J. Carroll, David Ruppert, Ciprian M. Crainiceanu, Tor D. Tosteson and Margaret R. Karagas.
  • SIMEX and Bayes Programs for Gaussian Regression (linear link) with classical measurement error
    The README files described which directories to call, namely the "carroll_modified_spline_functions" and "carroll_utilities_directory". Based on the paper Bayesian smoothing and regression splines for measurement error problems by S. Berry, R. J. Carroll and D. Ruppert, JASA, 97, 160--169.
  • Spline and Kernel Methods for Longitudinal Data (Panel structure, linear link)
    Directory is called "panel_data_directory". Computes regression spline estimators using GLS and working independence, and two--stage kernel estimators. Based on the paper Linton, O. B., Mammen, E., Lin, X. & Carroll, R. J. (2003). Accounting for correlation in marginal longitudinal nonparametric regression. Second Seattle Symposium on Biostatistics, editor D. Lin. You must call the directories "srs", "lpoly", "ebbs", "utility".
  • Carroll Regression Spline Functions that have nothing to do with measurement error
    Directory is called "carroll_modified_spline_functions"
  • Programs for local polynominal regression with bandwidth estimated from EBBS (A David Ruppert method)
    Directory is called "ebbs".
  • Programs for spline regression that combine some of mine with some of David Ruppert's
    Directory is called "srs".
  • Programs for local polynomial regression that combine some of mine with some of David Ruppert's
    Directory is called "lpoly".
  • Programs for Bayesian fitting of adaptive P-splines in regression
    Directory is called "adaptive_psplinesv06". You must call the directories "srs", "lpoly", "ebbs", "utility".
  • Programs for nonparametric regression in clustered data binning
    Programs are self--contained, i.e., call no other directories. Based upon the paper A Simple, General Approach To Inference In Mixed Parametric And Semiparametric Models by R. J. Carroll, P. Hall, T. V. Apanasovich and X. Lin.
  • Programs for analysis of matched case-control data with missing observations
    Based on the paper Semiparametric Bayesian Analysis of Matched Case-Control Studies with Missing Exposure by S. Sinha, B. Mukherjee, M. Ghosh, B. K. Mallick and R. J. Carroll
  • Taylex and Other Deconvolution Programs
    This implements the Taylex method of Carroll and Hall, JRSSB, 2004, volume 66, pages 31-46. Calls utility, loply, ebbs and carroll_utilities.
  • John Staudenmeyer's programs for SIMEX in nonparametric regression with efficient bandwidth estimation
    Based on the paper Staudenmeyer, J. and Ruppert, D. (2003). Local polynomial regression and SIMEX.
• R programs
  The R programs are basically translations of the MATLAB Programs. They are all in one directory.
  • R programs, zip file
    Directory is called "R_programs"
• CatReg
  • Homepage
  • Download
• XploRe
  • Homepage
  • Download