Summary
For decades, there has been a heated debate about whether or not nuclear power plants contribute to childhood cancer in their respective neighbourhoods, with statisticians testifying on both sides. The present paper points to some flaws in the pro-arguments, taking a recent study prepared for the political party “Bündnis 90 /Grüne” as a specimen. Typical mistakes include an understatement of the size of tests of significance, disregard of important covariates and extreme reliance on very few selected data points.
Online erschienen: 2016-3-16
Erschienen im Druck: 2011-10-1
© 2011 by Lucius & Lucius, Stuttgart
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Artikel in diesem Heft
- Titelei
- Inhalt / Contents
- Guest Editorial
- Abhandlungen / Original Papers
- The Production of Historical “Facts”: How the Wrong Number of Participants in the Leipzig Monday Demonstration on October 9, 1989 Became a Convention
- “True Believers” or Numerical Terrorism at the Nuclear Power Plant
- One-eyed Epidemiologic Dummies at Nuclear Power Plants
- Are Most Published Research Findings False?
- What Fuels Publication Bias?
- The Identification and Prevention of Publication Bias in the Social Sciences and Economics
- Benford’s Law as an Instrument for Fraud Detection in Surveys Using the Data of the Socio-Economic Panel (SOEP)
- When Does the Second-Digit Benford’s Law-Test Signal an Election Fraud?
- Difficulties Detecting Fraud? The Use of Benford’s Law on Regression Tables
- Plagiarism in Student Papers: Prevalence Estimates Using Special Techniques for Sensitive Questions
- Pitfalls of International Comparative Research: Taking Acquiescence into Account
- Buchbesprechungen / Book Reviews
Artikel in diesem Heft
- Titelei
- Inhalt / Contents
- Guest Editorial
- Abhandlungen / Original Papers
- The Production of Historical “Facts”: How the Wrong Number of Participants in the Leipzig Monday Demonstration on October 9, 1989 Became a Convention
- “True Believers” or Numerical Terrorism at the Nuclear Power Plant
- One-eyed Epidemiologic Dummies at Nuclear Power Plants
- Are Most Published Research Findings False?
- What Fuels Publication Bias?
- The Identification and Prevention of Publication Bias in the Social Sciences and Economics
- Benford’s Law as an Instrument for Fraud Detection in Surveys Using the Data of the Socio-Economic Panel (SOEP)
- When Does the Second-Digit Benford’s Law-Test Signal an Election Fraud?
- Difficulties Detecting Fraud? The Use of Benford’s Law on Regression Tables
- Plagiarism in Student Papers: Prevalence Estimates Using Special Techniques for Sensitive Questions
- Pitfalls of International Comparative Research: Taking Acquiescence into Account
- Buchbesprechungen / Book Reviews