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Choosing an appropriate real-life measure of effect size: the case of a continuous predictor and a binary outcome AgEcon
Conroy, Ronan M..
A case study of data on age and pregnancy is used to point up some morals for practicing data analysts, including the superiority of regression over t tests, exploratory scatterplot smoothing as a key method of checking form of relationship, and the value of logistic regression followed by adjust as a way of getting at the numbers of most interest.
Tipo: Journal Article Palavras-chave: Adjust; Correlation; Logistic regression; Regression; Scatterplot smoothing; T tests; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116011
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Stings in the tails: Detecting and dealing with censored data AgEcon
Conroy, Ronan M..
Variables often show evidence of clustering at extreme values and of graininess, that is, of a limited number of distinct values. Scores on two subscales of a quality-of-life measure, traditionally analyzed with OLS regression or ANOVA models, provide examples. Ignoring or failing to detect such features of the data will result in poor estimates of effect size.
Tipo: Journal Article Palavras-chave: Censored data; Diagnostic plots; Intreg; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/117528
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