[Jacob's Field]

Cleveland Chapter
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April 13, 2018
Successful Data Mining in Practice
Richard (Dick) De Veaux
Overview of techniques and strategies of data mining.
May 19, 2017
Introduction to Statistical Machine Learning and Its Applications
Yufeng Liu
Overview of statistical machine learning techniques with applications to the analysis of big biomedical data.
May 13, 2016
Working With Categorical Variables:
Loglinear Model, Association Graph, and Multigraph

Harry J. Khamis
Statistical tools needed to glean information from categorical data accurately, and to avoid the pitfalls that can occur when working with such data.
May 8, 2015
Applied Logistic Regression
Rodney X. Sturdivant
Theoretical and practical training for biostatisticians and professionals of related disciplines in statistical modeling using logistic regression.
April 11, 2014
Bayesian Methods and Computing for Data Analysis and Adaptive Clinical Trials
Bradley P. Carlin
Bayesian methods, computing, and software, and their use in Phase I and II clinical trials, as well as meta-analysis of current and historical trials.
May 31, 2013
An Arboretum of Graphics
Marepalli B. Rao
Producing graphics in R.
May 11, 2012
Recursive Partitioning and Applications
Heping Zhang
Nonparametric regression methods built on recursive partitioning techniques.
May 16, 2011
Pictures at an Exhibition:The Visual Display of Quantitative Phenomena
Howard Wainer
Exploring the value of graphical display.
May 14, 2010
An Introduction to Some Multivariate Methods
Dallas E. Johnson
Overview of multivariate methods, including data matrices and vectors, estimates of mean vectors and sample covariance and correlation matrices.
May 15, 2009
Applied Mixed Models
Linda J. Young
May 9, 2008
Applied Longitudinal Analysis
Garrett Fitzmaurice
May 21, 2007
Regression Modeling Strategies
Frank E. Harrell, Jr.
May 15, 2006
Causal Inference in Experiments and Observational Studies
Donald B. Rubin
April 1, 2005
Survival Analysis: Statistical Methods for Censored and Truncated Data
Melvin L. Moeschberger
April 26, 2004
Categorical Data Analysis
Alan Agresti
May 19, 2003
An Introduction to Bayesian Modeling
James Albert
May 6, 2002
Data Mining: Where Do We Go From Here?
Richard (Dick) De Veaux
May 24, 2001
Robust Engineering Using Taguchi Methods
Shin Taguchi
May 15, 2000
(title?)
J. Stuart Hunter
May 10, 1999
Introduction to Mixed Models for the Practicing Statistician -
With Analysis Using PROC MIXED of the SAS® System

George Milliken
May 4, 1998
Re-Inventing Regression thru Graphics
R. Dennis Cook and Sanford Weisberg
May 19, 1997
Artificial Neural Networks: A Practical Introduction
Richard D. De Veaux. and Lyle H. Ungar
May 20, 1996
Statistical Intervals: A User's Guide
Gerald J. Hahn and William Q. Meeker
June 1995
Analysis of Messy Data
Dallas E. Johnson
May 1994
Interfaces Between Statistical Process Control and Engineering Process Control
John F. MacGregor
May 1993
What Do You Do When Standard Designs Don't Fit?
Christopher J. Nachtsheim
May 1992
Regression Modeling: Separating Signal from Noise in Data
Richard F. Gunst
May 1991
Design of Experiments
Douglas C. Montgomery
May 1990
Response Surface Techniques and Mixture Experimentation
John A. Cornell
May 1989
Statistical Methods for Quality and Productivity Improvement
George E. P. Box and R. Daniel Meyer
May 1988
Control Charting - Beyond Shewhart
J. Stuart Hunter
May 1987
Regaining the Competitive Edge
Howard E. Butler, Harold S. Haller, Robert V. Hogg, J. Stuart Hunter, R. Daniel Meyer, and Robert N. Rodriguez