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Michael Griswold Biostats Retreat 2003. Clear-Cut Logging?. A Discussion on Model Evaluation for Complex Distributions. Clear-Cut Logging. Complex Distributions. SEERMED DATA. End of Life Colorectal Cancer Costs. SEERMED DATA. Truncated Below $50,000. SEERMED DATA.
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Michael Griswold Biostats Retreat 2003 Clear-Cut Logging? A Discussion on Model Evaluation for Complex Distributions
SEERMED DATA End of Life Colorectal Cancer Costs
SEERMED DATA Truncated Below $50,000
SEERMED DATA Truncated Above $50,000
Covariate Sets • Basic Set • The Basic Covariates of Interest • Full Set • Basic Set + interactions, spline-terms, etc… • Significance Set • .05 Significant Covariates from the Full Model • Modified Significance Set • Significance Set without collinear variables • Gender & Ethnicity, adjusted for Age & Geography • Gender & Ethnicity groups
Regression Models • LogNormal • LogNormal with Smearing • Logistic: P($>0) • Two-Stage LogNormal • Two-Stage LogNormal with Smearing • Gamma: (GLM; log-link) • Two-Stage Gamma • Cox PHM • Normal • Two-Stage Normal
Evaluation Design Validation Sample (10%) Training Sample: (90%)
Training Cross-Validation samples (10% of 90% = 9%) Evaluation Design Validation Sample (10%) Training Sample: (81%)
Evaluation Statistics • BIAS(Model,Cov) = • MAE(Model,Cov) = • RMSE(Model,Cov) = • LS-Rule(Model,Cov) =
??? Need estimate of the baseline Density function 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)
f0(c) = s( S0(c) ) 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. Shene’s Webpage Cost (c)
Results: distbs Colorectal Cancer Costs $$ $$ $$
Complex Longitudinal Data Cost 1 Cost 2
Bivariate Mixtures Sample Sizes Cost 2 Cost 1
E(Cwf) – E(Cbf) s(p) SQUARE: log -Plot s(p) = smooth function of percentile
S1(p) S2(p) S3(p) S4(p) S5(p) S6(p) MSQUARE: log(QR)-Plots
Analogy SQUARE2-groupst-test IMSQUAREk-groupsANOVA URSQUARE2ContinuousReg.