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 Day I  Morning

 SESSION 1: Introduction

            lChanges in Theory/Technology Dictate Changes in Practice

            lResampling Methods:  Bootstrap, Permutations, Decision Trees

lThe Bootstrap

Precision of an Estimate

Using the Bootstrap

Interval Estimates 

 

SESSION 2: Bootstrap Applications

lHodges-Lehman estimator

lEstimating Bias

lPower and Sample Size Estimates

lBehrans-Fisher

lModel Validation

  

Day 1: Afternoon

 SESSION 3:  Permutation Tests

lComparing Means

lChoosing a Statistic

Multivariate Analysis

lOne-Way Analysis: ANOVA or Permutations

lComparing Variances

  

SESSION 4: Contingency Tables

            lFisher’s Exact Test

            lCombining 2x2 Tables

           l RxC – unordered

            lRxC – ordered

 

Day 2: Morning

 SESSION 5: Improved Bootstrap Methods

lParametric

lBCa

lIterative

lTilted

  

SESSION 6:  DECISION TREES v. REGRESSION

            lHow Decision Trees work

            lDifferential losses

            laprior probabilities

            lWhich Method? Software Comparisons

 

Day 2: Afternoon

 SESSION 7:  Analysis of Cross-Over Designs

            lBalanced Experiment

            lMissing Data

            lHandling Drop Outs

            lGeneralizing the Results

 

SESSION 8: Applying the Concepts

lWhen to Use Parametric Procedures

lWhen to Use Decision Trees

lWhen to Use Permutation Tests

lWhen to Use Bootstrap