在人口統計調查與生物醫學研究中，常常遇到現狀設限存活資料，觀測值包含檢查時間及關心的事件是否已經發生的現狀資料。在臨床試驗設計或是人口調查研究的樣本數是很重要的課題。本論文中，在基線模型為一般分佈的比例風險模型下，我們提出一個需給定對應參數，具封閉形式的樣本數公式，以Weibull及Log-logistic作為舉例，並藉由進行模擬試驗及兩個實例驗證公式的正確性。 Current status data are commonly encountered in demographical or biomedical studies, where the event of interest is observed or examined once and the only available information consists of an examination time and an indicator of whether the event has occurred by the examination time. Sample size calculations is important for designing survival studies with current status data. In this thesis, we propose a closed form sample size formula for current status data under a flexible parametric proportional hazards model, including Weibull and log-logistic baseline hazards as special cases. The proposed methods are evaluated through simulations studies and illustrated with two real examples.
