### Abstract

Regression equations have many useful roles in neuropsychological assessment. This article is based on the premise that there is a large reservoir of published data that could be used to build regression equations; these equations could then be used to test a wide variety of hypotheses concerning the functioning of individual cases. This resource is currently underused because (a) not all neuropsychologists are aware that equations can be built with only basic summary data for a sample and (b) the computations involved are tedious and prone to error. To overcome these barriers, the authors set out the steps required to build regression equations from sample summary statistics and the further steps required to compute the associated statistics for drawing inferences concerning an individual case. The authors also develop, describe, and -make available computer programs that implement the methods. Although caveats attach to the use of the methods, these need to be balanced against pragmatic considerations and against the alternative of either entirely ignoring a pertinent data set or using it informally to provide a clinical "guesstimate."

Original language | English |
---|---|

Pages (from-to) | 611-620 |

Number of pages | 10 |

Journal | Neuropsychology |

Volume | 21 |

Issue number | 5 |

DOIs | |

Publication status | Published - Sep 2007 |

### Keywords

- neuropsychological assessment
- regression equations
- single-case methods
- verbal fluency performance
- monte-carlo-simulation
- statistical-methods
- confidence-limits
- test-scores
- abnormality

### Cite this

*Neuropsychology*,

*21*(5), 611-620. https://doi.org/10.1037/0894-4105.21.5.611

**Using regression equations built from summary data in the neuropsychological assessment of the individual case.** / Crawford, John Robertson; Garthwaite, Paul H.

Research output: Contribution to journal › Article

*Neuropsychology*, vol. 21, no. 5, pp. 611-620. https://doi.org/10.1037/0894-4105.21.5.611

}

TY - JOUR

T1 - Using regression equations built from summary data in the neuropsychological assessment of the individual case

AU - Crawford, John Robertson

AU - Garthwaite, Paul H.

PY - 2007/9

Y1 - 2007/9

N2 - Regression equations have many useful roles in neuropsychological assessment. This article is based on the premise that there is a large reservoir of published data that could be used to build regression equations; these equations could then be used to test a wide variety of hypotheses concerning the functioning of individual cases. This resource is currently underused because (a) not all neuropsychologists are aware that equations can be built with only basic summary data for a sample and (b) the computations involved are tedious and prone to error. To overcome these barriers, the authors set out the steps required to build regression equations from sample summary statistics and the further steps required to compute the associated statistics for drawing inferences concerning an individual case. The authors also develop, describe, and -make available computer programs that implement the methods. Although caveats attach to the use of the methods, these need to be balanced against pragmatic considerations and against the alternative of either entirely ignoring a pertinent data set or using it informally to provide a clinical "guesstimate."

AB - Regression equations have many useful roles in neuropsychological assessment. This article is based on the premise that there is a large reservoir of published data that could be used to build regression equations; these equations could then be used to test a wide variety of hypotheses concerning the functioning of individual cases. This resource is currently underused because (a) not all neuropsychologists are aware that equations can be built with only basic summary data for a sample and (b) the computations involved are tedious and prone to error. To overcome these barriers, the authors set out the steps required to build regression equations from sample summary statistics and the further steps required to compute the associated statistics for drawing inferences concerning an individual case. The authors also develop, describe, and -make available computer programs that implement the methods. Although caveats attach to the use of the methods, these need to be balanced against pragmatic considerations and against the alternative of either entirely ignoring a pertinent data set or using it informally to provide a clinical "guesstimate."

KW - neuropsychological assessment

KW - regression equations

KW - single-case methods

KW - verbal fluency performance

KW - monte-carlo-simulation

KW - statistical-methods

KW - confidence-limits

KW - test-scores

KW - abnormality

U2 - 10.1037/0894-4105.21.5.611

DO - 10.1037/0894-4105.21.5.611

M3 - Article

VL - 21

SP - 611

EP - 620

JO - Neuropsychology

JF - Neuropsychology

SN - 0894-4105

IS - 5

ER -