Results 301 to 310 of about 430,384 (331)
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Statistical Methods for Analyzing Microarray Feature Data with Replications
Journal of Computational Biology, 2003Expression levels in oligonucleotide microarray experiments depend on a potentially large number of factors, for example, treatment conditions, different probes, different arrays, and so on. To dissect the effects of these factors on expression levels, fixed-effects ANOVA methods have previously been proposed.
Josephine Hoh +6 more
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Statistical Significance and Replicability
Theory & Psychology, 1998Commentators agree with me that statistical significance does not betoken replicability, but not for the reasons I give. Chow (1998) defends the use of significance tests by arguing that they are useful for assessing the role of chance in findings. I dispute this by pointing out that the Type II error rate may be as high as 1 - ct. Falk (1998) defends
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Precision of the reportable value—Statistical optimization of the number of replicates
Journal of Pharmaceutical and Biomedical Analysis, 2019In pharmaceutical analysis, the precision of the reportable value, i.e. the result which is to be compared to the specification limit(s), is relevant for the suitability of the analytical procedure. Using the variance contributions determined in precision studies addressing the levels injection/system precision, repeatability, and intermediate ...
Joachim Ermer, Richard K. Burdick
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Equivalence of the statistics for replicability and area under the ROC curve
British Journal of Mathematical and Statistical Psychology, 2009Two statistics, one recent and one well known, are shown to be equivalent. The recent statistic, prep, gives the probability that the sign of an experimental effect is replicable by an experiment of equal power. That statistic is equivalent to the well‐known measure for the area under a receiver operating characteristic (ROC) curve for statistical ...
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Use of the Jackknife Statistic to Evaluate Result Replicability
The Journal of General Psychology, 1998Abstract Result replicability has often been confused with significance testing because of a misinformed view that statistical significance evaluates result importance and result replicability. Several alternatives, of which the jackknife statistic is one, provide researchers with the tools for estimating result replicability.
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Cancer treatment and survivorship statistics, 2022
Ca-A Cancer Journal for Clinicians, 2022Kimberly D Miller +2 more
exaly
Cancer statistics for African American/Black People 2022
Ca-A Cancer Journal for Clinicians, 2022Angela N Giaquinto +2 more
exaly
Death by statistics — When one replicate is enough
This week, I committed statistical blasphemy by arguing that, in some cases, one replicate can be enough for a specific type of molecular biology experiment. Before you rush to conclusions, let me explain. I haven’t lost my mind. A single experiment would prove me wrong What I like about this quote To be less and less wrong How many replicates is ...openaire +1 more source
Journal of Clinical Psychopharmacology, 2018
David L. Streiner, Geoffrey R. Norman
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David L. Streiner, Geoffrey R. Norman
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