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Biomedical subjects

M J Slakter

Publications and source records attributed to M J Slakter.

9 recordsLinked to original sources
PubMed1979

Inter-examiner reliability in caries trials.

A statistical model is given for representing the several components of variability present in measurements (e.g., DMFS scores) given by examiners to patients. Methods for making inferences about the intraclass correlation coefficient of reliability are presented and illustrated on a real set of data. The proper analysis of data from a reliability study is shown to depend on the planned design and analysis of the clinical or field trial to be conducted following the reliability trial.

Child↗
PubMed1977

The use of analysis of covariance to increase precision wtih DMFS measures.

For an experimental study with pre- and post-DMFS measures two methods of analysis were compared with respect to precision. It is shown that for large sample size, the analysis of covariance with the post-DMFS measure as criterion and the pre-DMFS measure as the covariate will be more precise than the analysis of variance of increment scores as the value of beta differs from 1. When beta is approximately 1, the two techniques will have essentially the same precision. The dental researcher interested in precision is advised, therefore, to use analysis of covariance with the pre-DMFS measure as the covariate and the post-measure as criterion rather than the traditional analysis of variance of increment scores. For large sample size, the precision of the former will tend to be at least that of the latter. The researcher is not encouraged to use analysis of covariance with the increment as the criterion; if the procedure increases precision over analysis of variance of the increments, it merely indicates that analysis of covariance (with the post-measure as criterion) should have been used originally.

Analysis of Variance↗
PubMedDate not supplied

Estimating examiner consistency with DMFS measures.

Within- and between-examiner reliability estimates were considered for standardization data. However, within-examiner stability was demonstrated to be the important measure of examiner consistency in the clinical trial because it directly affects the precision of the study. Finally, an argument is also made against the use of reversal rates in the assessment of examiner consistency.

DMF Index↗
PubMedDate not supplied

*, **, and ***; statistical nonsense at the .00000 level.

Researchers who report statistical significance with *, **, ***, or p values are confusing statistical significance with clinical significance and are wasting time, money, and energy with studies that are either too precise, or more likely too imprecise. Therefore, researchers who value their time, money, and energy should avoid this outmoded statistical procedure, and present alpha to engage in the power calculation.

Humans↗