SESSION 1: Introduction
lChanges in Theory/Technology Dictate Changes in Practice
lResampling Methods: Bootstrap, Permutations, CART
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
SESSION 3: Permutation Tests
lComparing Means
lChoosing a Statistic
lOne-Way Analysis: ANOVA or Permutations
lComparing Variances
SESSION 4: Contingency Tables
lFisher’s Exact Test
lCombining 2x2 Tables
l RxC – unordered
lRxC – ordered
SESSION 5: Improved Bootstrap Methods
lParametric
lBCa
lIterative
lTilted
SESSION 6: CART v. REGRESSION
lHow CART works
lDifferential losses
laprior probabilities
lWhich Method
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 Permutation Tests
lWhen to Use Bootstrap
lWhen to Use CART