{'fraction_non_alphanumeric': 0.01864406779661017, 'fraction_numerical': 0.010169491525423728, 'mean_word_length': 4.91, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A simple analysis of a simple crossover trial with a dichotomous outcome measure

For the two‐treatment two‐period crossover trial with a dichotomous outcome measure a simple and straightforward analysis is proposed: compute the treatment difference for each of the treatment sequences AB and BA, and then average over the sequence groups. The mean difference is used in the statistical test and in the computation of the 95 per cent confidence interval. The method is generalized to the case of a crossover trial including more than two treatments. Copyright © 2009 John Wiley & Sons, Ltd.