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A Statistical Regression Analysis of a Cancer Study

統計迴歸分析在癌症研究

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摘要


近幾年醫學研究已經把低微的醫療照顧連結上增加患癌症死亡的比率。這篇研究是用統計迴歸方法來分析癌症死亡比率和其他變數(每十萬人口護士人數比率,65歲以上人口百分比,教育程度高中以上人數百分比,接受社會安全福利人數百分比等)的關係,從美國人口普查局的資料庫中普查五十卅加上華盛頓特區共51個實例和63個變數,基本的技術是用統計逐步迴歸方法來分析,而所有假設檢定的結果是取自於迴歸模型中每一步驟中決定統計重要性的F-統計數值。

並列摘要


For several years medical research has linked low level of medical care with an increased risk of cancer.This study uses statistical regression methods to analyze the relationships of cancer death rate among other variables; some of these are the rate of nurses per 100,000 civilian population, the percent of 65 years old and over resident population, the percent of people education with high school graduate or higher and the percent of social security recipients. There are 51 cases (50 states and Dist. Columbia) and 63 variables in the data set were censused by the US Census Bureau. The basic technique used in the analyses is the stepwise regression procedure.All results of testing hypotheses are obtained by the F-statistic numerical values for determining the statistical significance of regression models at each step under consideration.

被引用紀錄


李昌鴻(2015)。影響台灣農業收入之因素及政策意涵〔碩士論文,國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2015.00346

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