1986
DOI: 10.3758/bf03201438
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Efficient estimation of sensory thresholds

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Cited by 242 publications
(165 citation statements)
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“…Since the first intimation of a sequential maximum-likelihood procedure by Hall (1968Hall ( , 1981 several others have been suggested: QUEST (Watson & Pelli, 1979 BEST PEST (Pentland, 1980;Lieberman & Pentland, 1982), ML-TEsT (Harvey, 1986), QUADRATURE METHOD (Emerson, 1986b), IDEAL (Pelli, 1987a, b), YAAP (Treutwein, 1989(Treutwein, , 1991Treutwein & Rentschler, 1992), and ZEST (KingSmith, Grisby, Vingrys, Benes & Supowit, 1991;KingSmith et al, 1994). All use maximum-likelihood or Bayesian estimators and differ only in minor aspects (for an overview see Table 2).…”
Section: Psychophysical Incarnations Of Bayesian and Mlmethodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Since the first intimation of a sequential maximum-likelihood procedure by Hall (1968Hall ( , 1981 several others have been suggested: QUEST (Watson & Pelli, 1979 BEST PEST (Pentland, 1980;Lieberman & Pentland, 1982), ML-TEsT (Harvey, 1986), QUADRATURE METHOD (Emerson, 1986b), IDEAL (Pelli, 1987a, b), YAAP (Treutwein, 1989(Treutwein, , 1991Treutwein & Rentschler, 1992), and ZEST (KingSmith, Grisby, Vingrys, Benes & Supowit, 1991;KingSmith et al, 1994). All use maximum-likelihood or Bayesian estimators and differ only in minor aspects (for an overview see Table 2).…”
Section: Psychophysical Incarnations Of Bayesian and Mlmethodsmentioning
confidence: 99%
“…Therefore, for a desired confidence level of y, solving the following equations leads to a condition where the best estimate of the threshold value lies in the interval (0t, 0u) with probability y In most cases equation (23) In a different approach, Watson and Pelli (1983) and Harvey (1986), referring back to Wiiks (1962), advised a likelihood-ratio test for determining a confidence interval. The arguments given by these authors for applying the test are not fully developed and three questions arise: first, the test does not account for the sequential nature of the estimation problem.…”
Section: Bayes' Estimationmentioning
confidence: 99%
“…Briefly, thresholds were estimated by fitting a Gaussian integral psychometric f unction to the observed withdrawal rates, for each of the tested von Frey hairs, using a maximum-likelihood fitting method (Harvey, 1986;Treutwein and Strasburger, 1999). This method is a streamlined, f unctionally equivalent version of methods used previously (Dixon, 1980;Chaplan et al, 1994) and yields exactly the same results for the same set of data (Dixon, 1980;Chaplan et al, 1994;Milligan et al, 2000).…”
Section: Behavioral Measuresmentioning
confidence: 99%
“…This method is a streamlined, f unctionally equivalent version of methods used previously (Dixon, 1980;Chaplan et al, 1994) and yields exactly the same results for the same set of data (Dixon, 1980;Chaplan et al, 1994;Milligan et al, 2000). Estimated thresholds derived from a Gaussian integral f unction yield a mathematical continuum and thus are appropriate for parametric statistical analyses (Harvey, 1986;Treutwein and Strasburger, 1999;Milligan et al, 2000). The computer program PsychoFit may be downloaded from L. O. Harvey's website (http://psych.colorado.edu /ϳlharvey).…”
Section: Behavioral Measuresmentioning
confidence: 99%
“…Because there were no differences in thresholds between left and right hind paws throughout testing, data obtained from the left and right hind paws were averaged. The behavioral responses were used to calculate the 50% paw withdrawal threshold (absolute threshold), by fitting a Gaussian integral psychometric function using a maximum-likelihood fitting method (Harvey, 1986;Treutwein and Strasburger, 1999), as described in detail previously (Milligan et al, 2000). This fitting method allows parametric statistical analyses.…”
Section: Von Frey Test For Mechanical Allodyniamentioning
confidence: 99%