PC program implementing an alternative to the paired t-test which adjusts for regression to the mean
In many biomedical research contexts, treatment effects are estimated from studies based on subjects who have been recruited because of high (low) measurements of a response variable, e.g., high blood pressure or low scores on a stress test. In this situation, simple change scores will overestimate...
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| Veröffentlicht in: | International journal of bio-medical computing 1994-11, Vol.37 (3), p.189-194 |
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| container_title | International journal of bio-medical computing |
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| creator | Kowalski, Charles J. Schneiderman, Emet D. Willis, Stephen M. |
| description | In many biomedical research contexts, treatment effects are estimated from studies based on subjects who have been recruited because of high (low) measurements of a response variable, e.g., high blood pressure or low scores on a stress test. In this situation, simple change scores will overestimate the treatment effect; and the use of the paired
t-test may find significant change due not to the treatment per se but, rather, due to regression towards the mean. A PC program implementing a procedure for adjusting the observed change for the regression effect in simple pre-test-post-test experiments is described, illustrated, and made available to interested readers. The method is due to Mee and Chua (
Am Stat, 45 (1991) 39–42), and may be considered as an alternative to the paired
t-test which separates the effect of the treatment from the so-called regression effect. |
| doi_str_mv | 10.1016/0020-7101(94)90117-1 |
| format | Article |
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t-test may find significant change due not to the treatment per se but, rather, due to regression towards the mean. A PC program implementing a procedure for adjusting the observed change for the regression effect in simple pre-test-post-test experiments is described, illustrated, and made available to interested readers. The method is due to Mee and Chua (
Am Stat, 45 (1991) 39–42), and may be considered as an alternative to the paired
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t-test may find significant change due not to the treatment per se but, rather, due to regression towards the mean. A PC program implementing a procedure for adjusting the observed change for the regression effect in simple pre-test-post-test experiments is described, illustrated, and made available to interested readers. The method is due to Mee and Chua (
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| ispartof | International journal of bio-medical computing, 1994-11, Vol.37 (3), p.189-194 |
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| language | eng |
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| source | MEDLINE; Alma/SFX Local Collection |
| subjects | Adolescent Biological and medical sciences Blood Pressure - physiology Computerized, statistical medical data processing and models in biomedicine Confidence Intervals Educational Measurement Educational Status Florida Humans Mathematical Computing Medical sciences Medical statistics Microcomputers Paired t-test PC program Regression Analysis Regression to the mean Software Software Design Treatment effects Treatment Outcome |
| title | PC program implementing an alternative to the paired t-test which adjusts for regression to the mean |
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