The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of right censoring
| Autor: | Bo Huang, GuangLei Yu, Margaret Gamalo-Siebers, Lu Mao, Jiuzhou Wang, David C. Hoaglin, Gaohong Dong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Statistics and Probability
Time Factors Logarithm 01 natural sciences Monoclonal Gammopathy of Undetermined Significance Article 010104 statistics & probability 03 medical and health sciences 0302 clinical medicine Bias of an estimator Bias Statistics Humans Pharmacology (medical) Computer Simulation 030212 general & internal medicine 0101 mathematics Neoplasms Plasma Cell Statistic Mathematics Probability Pharmacology Clinical Trials as Topic Models Statistical Estimator Censoring (statistics) Weighting Hospitalization Delta method Inverse probability Treatment Outcome Cardiovascular Diseases Research Design Data Interpretation Statistical Disease Progression |
| Zdroj: | J Biopharm Stat |
| Popis: | The win ratio method has received much attention in methodological research, ad hoc analyses, and designs of prospective studies. As the primary analysis, it supported the approval of tafamidis for the treatment of cardiomyopathy to reduce cardiovascular mortality and cardiovascular-related hospitalization. However, its dependence on censoring is a potential shortcoming. In this article, we propose the inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic (i.e., the IPCW-adjusted win ratio statistic) to overcome censoring issues. We consider independent censoring, common censoring across endpoints, and right censoring. We develop an asymptotic variance estimator for the logarithm of the IPCW-adjusted win ratio statistic and evaluate it via simulation. Our simulation studies show that, as the amount of censoring increases, the unadjusted win proportions may decrease greatly. Consequently, the bias of the unadjusted win ratio estimate may increase greatly, producing either an overestimate or an underestimate. We demonstrate theoretically and through simulation that the IPCW-adjusted win ratio statistic gives an unbiased estimate of treatment effect. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|