6 citations · 7 across the 9 of their papers we have counts for
9 papers
Incremental Cost-Effectiveness Statistical Inference: Calculations and Communications
Robert L. Obenchain
We illustrate use of nonparametric statistical methods to compare alternative treatments for a particular disease or condition on both their relative effectiveness and their relati…
Nonlinear Generalized Ridge Regression
Robert L. Obenchain
A Two-Stage approach is described that literally "straighten outs" any potentially nonlinear relationship between a y-outcome variable and each of p = 2 or more potential x-predict…
Nonparametric Generalized Ridge Regression
Robert L. Obenchain
A Two-Stage approach enables researchers to make optimal non-linear predictions via Generalized Ridge Regression using models that contain two or more x-predictor variables and mak…
Mortality Rates of US Counties: Are they Reliable and Predictable?
Robert L. Obenchain, S. Stanley Young
We examine US County-level observational data on Lung Cancer mortality rates in 2012 and overall Circulatory Respiratory mortality rates in 2016 as well as their "Top Ten" potentia…
EPA Particulate Matter Data -- Analyses using Local Control Strategy
Robert L. Obenchain, S. Stanley Young
Statistical Learning methodology for analysis of large collections of cross-sectional observational data can be most effective when the approach used is both Nonparametric and Unsu…
Maximum Likelihood Ridge Regression
Robert L. Obenchain
My first paper exclusively about ridge regression was published in Technometrics and chosen for invited presentation at the 1975 Joint Statistical Meetings in Atlanta. Unfortunatel…
The Efficient Shrinkage Path: Maximum Likelihood of Minimum MSE Risk
Robert L. Obenchain
A new generalized ridge regression shrinkage path is proposed that is as short as possible under the restriction that it must pass through the vector of regression coefficient esti…
Affine Reduction of Dimensionality: An Origin-Centric Perspective
Robert L. Obenchain
We consider statistical methods for reduction of multivariate dimensionality that have invariance and/or commutativity properties under the affine group of transformations (origin…
Bias and response heterogeneity in an air quality data set
S. Stanley Young, Robert L. Obenchain, Christophe Lambert
It is well-known that claims coming from observational studies often fail to replicate when rigorously re-tested. The technical problems include multiple testing, multiple modeling…