Words of sherlock holmes in ●●● The sign of Four You can, for example, never foretell What any one man will do, but you can say with precision what an average number will be up to. Individuals vary, but percentages remain constant. So says the statistician
Words of Sherlork Holmes in The Sign of Four You can, for example, never foretell what any one man will do, but you can say with precision what an average number will be up to. Individuals vary, but percentages remain constant. So says the statistician
●●关于A、B两药疗效的研究结论 o服用A药的病人60%得到缓解,而服用B药的 病人只有50%。两药的疗效有差异。 (P=0.3149) o服用A药的病人60%得到缓解,而服用B药的 病人只有50%。两药的疗效有差异。 (P=00015) o上述结论是否可信?可信程度多大?可否应 用于实 o要做好研究,理解基本的统计学思想至关重 要。因为这些思想与研究设计和数据分析息 息相关。另外,熟悉常用的统计分析方法也 是相当必要的
关于A、B两药疗效的研究结论 服用A药的病人60%得到缓解，而服用B药的 病人只有50%。两药的疗效有差异。 （P=0.3149） 服用A药的病人60%得到缓解，而服用B药的 病人只有50%。两药的疗效有差异。 （P=0.0015） 上述结论是否可信？可信程度多大？可否应 用于实践？ 要做好研究，理解基本的统计学思想至关重 要。因为这些思想与研究设计和数据分析息 息相关。另外，熟悉常用的统计分析方法也 是相当必要的
●·。医学研究中的统计学 o统计学渗透在医学实践中。例如:诊断 和选择治疗方案。从某种意义上讲,我 们每个人天生就是统计学家。 o但是,这些判断究竞有多大把握说它们 是正确的呢? o在非典型性肺炎还不为人所熟悉时,有 多少人把它当作一般肺炎进行治疗的呢? o医学实践需要尽量减少不确定性,医学 实践需要统计学
医学研究中的统计学 统计学渗透在医学实践中。例如：诊断 和选择治疗方案。从某种意义上讲，我 们每个人天生就是统计学家。 但是，这些判断究竟有多大把握说它们 是正确的呢？ 在非典型性肺炎还不为人所熟悉时，有 多少人把它当作一般肺炎进行治疗的呢？ 医学实践需要尽量减少不确定性，医学 实践需要统计学
●。 I Words of Douglas G. Altman in Practica/ Statistics for Medica/ Research In general the emphasis is on results(which are presented as facts), with little or no regard to the manner in which they were obtained, which is probably why the subject of statistics is widely seen as relating solely to the analysis of data and the presentation of numerical results while these are important parts of statistics, there is much else besides. In particular, how and why the data were collected are supremely important
Words of Douglas G. Altman in Practical Statistics for Medical Research In general the emphasis is on results (which are presented as facts), with little or no regard to the manner in which they were obtained, which is probably why the subject of statistics is widely seen as relating solely to the analysis of data and the presentation of numerical results. While these are important parts of statistics, there is much else besides. In particular, how and why the data were collected are supremely important