Michael Griswold Biostats Retreat 2003 - PowerPoint PPT Presentation

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Michael Griswold Biostats Retreat 2003

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05 Significant Covariates from the Full Model. Modified Significance Set ... BIAS(Model,Cov) = MAE(Model,Cov) = RMSE(Model,Cov) = LS-Rule(Model,Cov) ... – PowerPoint PPT presentation

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Title: Michael Griswold Biostats Retreat 2003


1
Clear-Cut Logging?
A Discussion on Model Evaluation for Complex
Distributions
  • Michael Griswold Biostats
    Retreat 2003

2
Clear-Cut Logging
3
Complex Distributions
4
SEERMED DATA
End of Life Colorectal Cancer Costs
5
SEERMED DATA
Truncated Below 50,000
6
SEERMED DATA
Truncated Above 50,000
7
Covariate Sets
  • Basic Set 
  • The Basic Covariates of Interest 
  • Full Set 
  • Basic Set interactions, spline-terms, etc
  • Significance Set 
  • .05 Significant Covariates from the Full Model
  • Modified Significance Set
  • Significance Set without collinear variables
  • Gender Ethnicity, adjusted for Age Geography
  • Gender Ethnicity groups

8
Regression Models
  1. LogNormal
  2. LogNormal with Smearing
  3. Logistic P(gt0)
  4. Two-Stage LogNormal
  5. Two-Stage LogNormal with Smearing
  6. Gamma (GLM log-link)
  7. Two-Stage Gamma
  8. Cox PHM
  9. Normal
  10. Two-Stage Normal

9
Evaluation Design
Validation Sample (10)
Training Sample (90)
10
Evaluation Design
Validation Sample (10)
Training Sample (81)
11
Evaluation Statistics
  • BIAS(Model,Cov)
  • MAE(Model,Cov)
  • RMSE(Model,Cov)
  • LS-Rule(Model,Cov)

12
PHM Density Estimate
  •  Cox PHM Survival Function   S(c)   S0(c)(
    )   
  •  Cox PHM Density Function
  • f(c)    -S?(c)
  • -e(X?) ? S0(c)(1- ) ? S0?(c)
  •   e(X?) ? S0(c)(1- ) ? f0(c)
  •  Estimate f(c)   e(X ) ? S0(c)(1- ) ?
    f0(c)

13
PHM Baseline Survival
B-Splines 1) Local support computation 2)
Monotonic Coefficients ? Monotonic Smooth 3)
Derivative of a B-Spline of degree 'p' 
B-Spline of degree ('p'-1) 
S0(c)
Great Resource C.K. Shenes Webpage
Cost (c)
14
Results distbs
Colorectal Cancer Costs



15
Validation Results
16
Validation Results
17
Validation Results
18
Complex Longitudinal Data
Cost 1
Cost 2
19
Bivariate Mixtures
Sample Sizes
Cost 2
Cost 1
20
My Statistician said Get More Data
21
Q-Q plots
22
SQUARE QQ-Plot
23
SQUARE log -Plot
s(p) smooth function of percentile
24
MSQUARE QQ-Plots
25
MSQUARE log(QR)-Plots
26
Analogy
  • SQUARE 2-groups t-test
  • IMSQUARE k-groups ANOVA
  • URSQUARE2 Continuous Reg.

27
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28
(No Transcript)
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