Statistics Section Papers and Authors

ID Type Title Author(s) Length
ST01 Contributed Analysis of Dosage-Response Data in Agricultural Research Dr. Khorsand Bondari 20
ST02 Contributed A SASŪ Program for the Computation of the Crude, Stratified and Mantel-Haenszel Odds Ratio in Case-Control Study Data Analysis of Nx2xK tables. Ilene Brill 20
      Dr. Fabio Barbone .
ST03 Contributed Variance Estimates for Census 2000 using SAS/IML(R) Software Peter Davis 20
ST04 Contributed Research Across Multiple Systems: Probabilistic population Estimation (PPE) Diane Haynes 20
      Shabnam Mehra .
      Rebecca Larsen, M.S.P.H. .
ST05 Contributed FDR_TEST: A SAS(R) Macro for Calculating New Methods of Error Control in Multiple Hypothesis Testing Dr. Jeffrey D. Kromrey 20
      Kristine Y. Hogarty .
ST06 Contributed Comparison of Correlated Proportions using SAS(R) PROC GLM: a Simulation Study. Dr. Mark S. Litaker 20
      Dr. Daron G. Ferris .
ST07 Contributed Automated Summarization of Risk Assessment of Discrete and Continuous Exposures in Epidemiological Studies using SAS(R) ODS Stuart Long 20
      Rebecca Darden .
ST08 Contributed Projecting South Florida County-Level Citrus Acreage Using Time-Series Analysis (SAS(R) Automatic Forecasting System) and Multivariate Analysis (PROC FACTOR). Dr. Richard A. March 20
ST09 Contributed SAS(R) Programs for Adding Functionality to the Occupational Mortality Analysis Program (OCMAP) Software Robert Matthews 20
      Dr. David Brown .
ST10 Contributed Using a SAS(R) IML Nonlinear Programming Procedure to Determine a Single Uniform Weighting Scheme for a Complex Survey Design Richard A. Moore, Jr. 20
ST11 Contributed Using SAS(R) to Estimate Variance by the Jackknife Method Thomas Mule 20
ST12 Contributed A Macro for Computing a Goodness of Fit Statistic for Linear Mixed Models Jean G. Orelien 20
ST13 Contributed The Lag-o-Matic: An Improved Method for Selecting Lag Structure of Multiple Predictor Variables in the Absence of Theory Dr. David Sharp 20
      Stephen Finnigan .
ST14 Contributed Managing Missing Data with Multiple Imputation using PROC MI in SAS(R) Dr. Hossein N. Yarandi 20
ST15 Invited Basic Usage of SAS/ETS(R) Software to Forecast a Time Series LTC Douglas McAllaster 50
ST16 Invited Using SAS(R) to Control Multistream Binomial Processes with a Chi-Squared Control Chart Peter Wlydyka 50
      Dan Cavey .
      Brett Friedlin .
ST18 SAS The New SAS Power and Sample Size Web Applications Wayne Watson 50