Editing Scientific Figures
From TobaccoControl Tactics
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<blockquote>[I]t is commonly, but mistakenly, supposed that multiple regression, logistic regression, or various forms of standardization can routinely be used to answer the question: “Is the correlation of exposure (E) with disease (D) due merely to a common correlation of both with some confounding factor (or factors)?”</blockquote> | <blockquote>[I]t is commonly, but mistakenly, supposed that multiple regression, logistic regression, or various forms of standardization can routinely be used to answer the question: “Is the correlation of exposure (E) with disease (D) due merely to a common correlation of both with some confounding factor (or factors)?”</blockquote> | ||
− | <blockquote>... Moreover, it is obvious that multiple regressions cannot correct for important variables that have not been recorded at all. "…[T]hese disadvantages limit the value of observations in humans, but ... until we know exactly how cancer is caused and how some factors are able to modify the effects of others, the need to observe imaginatively what actually happens to various different categories of people will remain."<ref>Doll R, Peto R, The causes of cancer, JNCI 66:1192–1312, 1981, p. 1281 | + | <blockquote>... Moreover, it is obvious that multiple regressions cannot correct for important variables that have not been recorded at all. "…[T]hese disadvantages limit the value of observations in humans, but ... until we know exactly how cancer is caused and how some factors are able to modify the effects of others, the need to observe imaginatively what actually happens to various different categories of people will remain."<ref>Doll R, Peto R, The causes of cancer, JNCI 66:1192–1312, 1981, p. 1281</ref></blockquote> |
(The “multiple regression” and “logical regression” referred to in the quotes above are techniques used in the statistics of epidemiology.) | (The “multiple regression” and “logical regression” referred to in the quotes above are techniques used in the statistics of epidemiology.) |