當初在上課時，在同學的介紹之下發現了在 Kidney International 連載的文章 ABC of Epidemiology，也是橫跨三年的文章。他人之石可以攻錯，好文章分享。統計與流病是相輔相成的，正如Sir William Osler所說的"He who studies medicine without books sails an uncharted sea, but he who studies medicine without patients does not go to sea at all."
01. General and clinical epidemiology at square two: A new educational series for the renal physician.
02. Measuring disease occurrence
03. The randomized clinical trial: An unbeatable standard in clinical research?
04. The valuable contribution of observational studies to nephrology
05. Measures of effect: Relative risks, odds ratios, risk difference, and 'number needed to treat'
06. Bias in clinical research
07. Confounding: What it is and how to deal with it
08. Linear and logistic regression analysis
09. The analysis of survival data: the Kaplan–Meier method
10. The analysis of survival data in nephrology: basic concepts and methods of Cox regression
11. Survival analysis: time-dependent effects and time-varying risk factors
12. The effect of joint exposures: examining the presence of interaction
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