Prediction of Brain Damage in a Neurological Population with Cerebrovascular Accidents
1970 ◽
Vol 31
(2)
◽
pp. 595-601
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Keyword(s):
A total of 15 intellectual and 12 sensory-motor variables were examined as predictors of brain damage in a neurological population with cerebrovascular accidents. Results obtained via Student's t tests and multiple regression analyses demonstrate that it is possible to predict brain damage significantly in this clinical population. Specific conclusions were: (1) as single predictor variables, sensory-motor measures are superior to intellectual measures; (2) brain damage as measured behaviorally is consistent across patient populations in neurological, psychiatric, and neurological sub-groups with CVA; and, (3) multiple variant prediction holds promise for diagnosis of brain damage in a CVA population.
1970 ◽
Vol 30
(2)
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pp. 523-532
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1967 ◽
Vol 10
(4)
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pp. 828-835
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2000 ◽
Vol 18
(2)
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pp. 105-118
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1991 ◽
Vol 13
(1)
◽
pp. 42-49
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Keyword(s):
1989 ◽
Vol 9
(1)
◽
pp. 33-48
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2020 ◽
Vol 51
(3)
◽
pp. 807-820
Keyword(s):
1991 ◽
Vol 19
(3)
◽
pp. 205-215
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