{'fraction_non_alphanumeric': 0.02062975027144408, 'fraction_numerical': 0.004343105320304018, 'mean_word_length': 5.82962962962963, '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}}
Use of the odds ratio to translate neuropsychological test scores into real-world outcomes: from statistical significance to clinical significance.

Standard parametric tests generate p values and effect sizes, but often these are difficult to translate into real-world outcomes. In this study, the odds ratio was applied to neuropsychological testing and was compared to parametric approaches. Participants were 26 community-dwelling adults with possible or probable Alzheimer's disease and 25 matched healthy community-dwelling volunteers. Odds ratios were computed to estimate the probability of concurrent diagnosis given neuropsychological performance level. Odds ratios discriminated the groups at magnitudes that could not be discerned from t-test significance tables. These values were compared to sensitivity, specificity, and overall accuracy. Clinical and research applications and implications were addressed.