Carl V. Granger

发表

Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks, Classification and Regression Trees, and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes

Deborah Walters, Elisabeth Cuddihy, Richard T. Linn, 1999, AMIA.

The functional independence measure (FIM(SM) instrument) and the functional independence measure for children (WeeFIM® instrument): Ten years of development

Anne Deutsch, Carl V. Granger, C. Granger, 1996 .

Post-stroke rehabilitation: Assessment, referral, and patient management: Quick reference guide for clinicians

Pamela W. Duncan, C. A. Trombly, Carl V. Granger, 1996 .

Advances in functional assessment for medical rehabilitation

Carl V. Granger, C. Granger, F. Sherwin, 1986 .

An Analysis of Problems with Canes Encountered by Elderly Persons

William C. Mann, Machiko Tomita, Dianne Hurren, 1995 .

Discharge Outcome After Stroke Rehabilitation

Carl V. Granger, C. Granger, R. Fiedler, 1992, Stroke.

Examination of Follow-up Therapy in Patients with Stroke

Kenneth J. Ottenbacher, Carl V. Granger, Yong-Fang Kuo, 2006, American journal of physical medicine & rehabilitation.

A Modular Case-Mix Classification System for Medical Rehabilitation Illustrated

Margaret G. Stineman, Carl V. Granger, C. Granger, 1997, Health care financing review.

Diabetes Comorbidity and Age Influence Rehabilitation Outcomes After Hip Fracture

Kenneth J. Ottenbacher, Anne Deutsch, James E. Graham, 2011, Diabetes Care.

Functional assessment in rehabilitation medicine

Carl V. Granger, C. Granger, G. E. Gresham, 1993 .

Epidemiology of Stroke-Related Disability and Rehabilitation Outcome

Margaret G. Stineman, Carl V. Granger, C. Granger, 1991 .

Post-stroke rehabilitation: Assessment, referral and patient management

Pamela W. Duncan, C. A. Trombly, Carl V. Granger, 1995 .