Regression Modeling Strategies

By Esteban Walker. Technometrics, 2003

2,905 citations recorded by the source corpus.

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Low-Level Environmental Lead Exposure and Children’s Intellectual Function: An International Pooled Analysis (2005, methodology): “After an initial model was selected, the tests of linearity and the restricted cubic spline models were recomputed to ensure that our initial model was still appropriate after adjustment for covariates (Harrell 2001).”
Flexible Imputation of Missing Data (2012, methodology): “Various metrics are possible to define the distance between the cases. The predictive mean matching metric was proposed by Rubin (1986) and Little (1988).”
Accurate and efficient regression modeling for microarchitectural performance and power prediction (2006, methodology): “Within this environment, we use the Hmisc and Design packages implemented by Harrell [4].”
Acute Physiology and Chronic Health Evaluation (APACHE) IV: Hospital mortality assessment for today’s critically ill patients* (2006, methodology): “The age, APS, and prior length of stay variables were allowed to have nonlinear relationships with outcomes using restricted cubic regression splines (25).”
Early Adolescent Risk Behavior Outcomes of Childhood Externalizing Behavioral Trajectories (2011, background): “This low rate of missing data suggested little problem with reduction of sample size or biased standard error (Harrell, 2001).”