1997
DOI: 10.1016/s0161-6420(97)30229-2
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Pointwise Univariate Linear Regression of Perimetric Sensitivity Against Follow-up Time in Glaucoma

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Cited by 48 publications
(26 citation statements)
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“…However, from the data shown here, it is clear that criteria such as 1 point changing with a slope of 1 dB/year and Po0.001 8-10 would probably detect change over shorter periods of follow-up (Figure 1). Previous work has also noted the detection of improvement using PLR; [8][9][10][11] however, some early work assumed that those patients without points with significant negative slope should be labelled as not changing. 7,12 What is clear from the data in this study is the appearance of patients showing both progression and improvement when lax criteria are used.…”
Section: Discussionmentioning
confidence: 99%
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“…However, from the data shown here, it is clear that criteria such as 1 point changing with a slope of 1 dB/year and Po0.001 8-10 would probably detect change over shorter periods of follow-up (Figure 1). Previous work has also noted the detection of improvement using PLR; [8][9][10][11] however, some early work assumed that those patients without points with significant negative slope should be labelled as not changing. 7,12 What is clear from the data in this study is the appearance of patients showing both progression and improvement when lax criteria are used.…”
Section: Discussionmentioning
confidence: 99%
“…6 Early PLR criteria were arbitrary, and the investigators using them had no 'gold standard' to use, a situation that persists. The criteria chosen required one [6][7][8][9][10][11] or two points 12,13 to be changing. The minimum critical slope was specified as being o0 dB/year, 8,9,13 oÀ1 dB/ year, 6,10,12 oÀ2.4 dB/year 7 or onormal age decline.…”
Section: Introductionmentioning
confidence: 99%
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“…By far the most common approach is to use pointwise univariate linear regression (PWLR) to detect trends in individual locations [2,8,20,22,23,27]. Typically this is applied to each individual location, and if the slope of the fitted line is significantly less than zero the patient is classified as progressing.…”
Section: Determining Progressionmentioning
confidence: 99%
“…Typically this is applied to each individual location, and if the slope of the fitted line is significantly less than zero the patient is classified as progressing. Several variations on this theme have been investigated, the most notable being to correct for natural age-related decline in thresholds [27]. Performing PWLR on each of the 76 locations introduces a multiple-comparison problem.…”
Section: Determining Progressionmentioning
confidence: 99%