Report
Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisons
| العنوان: | Geometric approaches to assessing the numerical feasibility for conducting matching-adjusted indirect comparisons |
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| المؤلفون: | Glimm, Ekkehard, Yau, Lillian |
| المصدر: | Pharmaceutical Statistics 2022 |
| سنة النشر: | 2021 |
| المجموعة: | Statistics |
| مصطلحات موضوعية: | Statistics - Applications |
| الوصف: | We discuss how to handle matching-adjusted indirect comparison (MAIC) from a data analyst's perspective. We introduce several multivariate data analysis methods to assess the appropriateness of MAIC for a given data set. These methods focus on comparing the baseline variables used in the matching from a study that provides the summary statistics, or aggregated data (AD) and a study that provides individual patient level data (IPD). The methods identify situations when no numerical solutions are possible with the MAIC method. This helps to avoid misleading results being produced. Moreover, it has been observed that sometimes contradicting results are reported by two sets of MAIC analyses produced by two teams, each having their own IPD and applying MAIC using the AD published by the other team. We show that an intrinsic property of the MAIC estimated weights can be a contributing factor for this phenomenon. Comment: 7 figures, 23 pages |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1002/pst.2210 |
| URL الوصول: | http://arxiv.org/abs/2108.01896 |
| رقم الانضمام: | edsarx.2108.01896 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1002/pst.2210 |
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