High-level occupational radon exposure is an established risk factor for lung cancer. We assessed the long-term association between residential radon and lung cancer risk using a prospective Danish cohort using 57,053 persons recruited during 1993-1997. We followed each cohort member for cancer occurrence until 27 June 2006, identifying 589 lung cancer cases. We traced residential addresses from 1 January 1971 until 27 June 2006 and calculated radon at each of these addresses using information from central databases regarding geology and house construction. Cox proportional hazards models were used to estimate incidence rate ratios (IRR) and 95% confidence intervals (CI) for lung cancer risk associated with residential radon exposure with and without adjustment for sex, smoking variables, education, socio-economic status, occupation, body mass index, air pollution and consumption of fruit and alcohol. Potential effect modification by sex, traffic-related air pollution and environmental tobacco smoke was assessed. Median estimated radon was 35.8 Bq/m(3). The adjusted IRR for lung cancer was 1.04 (95% CI: 0.69-1.56) in association with a 100 Bq/m(3) higher radon concentration and 1.67 (95% CI: 0.69-4.04) among non-smokers. We found no evidence of effect modification. We find a positive association between radon and lung cancer risk consistent with previous studies but the role of chance cannot be excluded as these associations were not statistically significant. Our results provide valuable information at the low-level radon dose range.

In the design of scientific studies it is essential to decide on which scientific questions one aims to answer, just as it is important to decide on the correct statistical methods to use to answer these questions. The correct use of statistical methods is crucial in all aspects of research to quantify relationships in data. Despite an increased focus on statistical content and complexity of biomedical research these topics remain difficult for most researchers. Statistical methods enable researchers to condense large spreadsheets with data into means, proportions, and difference between means, risk differences, and other quantities that convey information. One of the goals in biomedical research is to develop parsimonious models - meaning as simple as possible. This approach is valid if the subsequent research report (the article) is written independent of whether the results are "statistically significant" or not. In the present paper we outline the considerations and suggestions on how to build a trial protocol, with an emphasis on having a rigorous protocol stage, always leading to a full article manuscript, independent of statistical findings. We conclude that authors, who find (rigorous) protocol writing too troublesome, will realize that they have already written the first half of the final paper if they follow these recommendations; authors simply need to change the protocols future tense into past tense. Thus, the aim of this clinical commentary is to describe and explain the statistical principles for trial protocols in terms of design, analysis, and reporting of findings.

Achilles tendinopathy (AT) is a common pathology and the aetiology is unknown. For valid and reliable assessment The Victorian Institute of Sports Assessment has designed a self-administered Achilles questionnaire, the VISA-A. The aim of the present study was to evaluate VISA-A as an outcome measure in patients with AT.