2023
DOI: 10.3233/jad-230701
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Examination of Matching Methods, Sparse Effects, and Limitations in a Nationwide Database Study on Alzheimer’s Disease

I-Shiang Tzeng

Abstract: Akada et al. conducted a nationwide database study on patients with Alzheimer’s disease, examining risk factors and outcomes over 3 years. A significant association emerged between decreased daily activities and hip fractures. However, the odds ratio was 1.95 (with p = 0.020) may be inaccurate in men, considering the wide 95% confidence interval (1.12–3.51). Possible influencing factors include an inappropriate outcome variable, sparse-data bias, collinear covariates, and comorbidities. Moreover, exact propens… Show more

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Cited by 3 publications
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“…The number of patients between the two groups was unequal (219 in control group and 559 in parecoxib group), and the patients were neither randomized nor blinded. Although several variables were analyzed in this study, the study of retrospective cohort data is influenced by several factors, including the selection of an inappropriate outcome variable, the presence of sparse-data bias, the occurrence of collinearity among covariates, and the impact of comorbidities ( 49 ). Therefore, these factors warrant further prospective studies to validate our findings.…”
Section: Discussionmentioning
confidence: 99%
“…The number of patients between the two groups was unequal (219 in control group and 559 in parecoxib group), and the patients were neither randomized nor blinded. Although several variables were analyzed in this study, the study of retrospective cohort data is influenced by several factors, including the selection of an inappropriate outcome variable, the presence of sparse-data bias, the occurrence of collinearity among covariates, and the impact of comorbidities ( 49 ). Therefore, these factors warrant further prospective studies to validate our findings.…”
Section: Discussionmentioning
confidence: 99%