Random error units, extension of a novel method to express random error in epidemiological studies

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Publicado en:Clinical Epidemiology vol. 11 (2019), p. 127
Autor principal: Janszky, Imre
Otros Autores: Bjørngaard, Johan Håkon, Romundstad, Pål, Vatten, Lars, Orsini, Nicola
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Taylor & Francis Ltd.
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024 7 |a 10.2147/CLEP.S184231  |2 doi 
035 |a 2224570673 
045 2 |b d20190101  |b d20191231 
100 1 |a Janszky, Imre 
245 1 |a Random error units, extension of a novel method to express random error in epidemiological studies 
260 |b Taylor & Francis Ltd.  |c 2019 
513 |a Journal Article 
520 3 |a Currently used methods to express random error are often misinterpreted and consequently misused by biomedical researchers. Previously we proposed a simple approach to quantify the amount of random error in epidemiological studies using OR for binary exposures. Expressing random error with the number of random error units (REU) does not require solid background in statistics for a proper interpretation and cannot be misused for making oversimplistic interpretations relying on statistical significance. We now expand the use of REU to the most common measures of associations in epidemiology and to continuous variables, and we have developed a Stata program, which greatly facilitates the calculation of REU. 
610 4 |a Boston University Boston College 
651 4 |a Sweden 
651 4 |a Norway 
651 4 |a Greenland 
653 |a Public health 
653 |a Confidence intervals 
653 |a Epidemiology 
653 |a Statistical significance 
653 |a Clinical medicine 
700 1 |a Bjørngaard, Johan Håkon 
700 1 |a Romundstad, Pål 
700 1 |a Vatten, Lars 
700 1 |a Orsini, Nicola 
773 0 |t Clinical Epidemiology  |g vol. 11 (2019), p. 127 
786 0 |d ProQuest  |t Public Health Database 
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