From the May 2008 EpiMonitor: Dr. Sharon Schwartz's reading list on individual and population causes of disease

Dr. Sharon Schwartz's reading list on individual and population causes of disease (EpiMonitor May, 2008)

More Reading On The Tension Between An Individual and Population Level Focus in Epidemiology
In sharing her comments about individual and population causes of disease, Columbia University’s Sharon Schwartz kindly shared the reading list from a course she teaches and identified the most directly relevant readings in bold. These references plus a book by Rose are provided below for readers who may wish to examine these issues further.

• Beaglehole R, Bonita R.  (1998) Public Health at the Crossroads: Which Way Forward?  The Lancet 351: 590-592.
• Diez-Roux AV.  (1998) On Genes, Individuals, Society, and Epidemiology.  American Journal of Epidemiology 148:1027-1032.
• Krieger N. (1994) Epidemiology and the Web of Causation: Has Anyone Seen the Spider? Social Science and Medicine 39:887-903.
• Levins R. (1997) When Science Fails Us Forests, Trees and People Newsletter 32/33: February, p. 1-18
• Lewontin RC. (2006) The Analysis of Variance and the Analysis of Causes.  International Journal of Epidemiology 35:520-525.
• McKinlay, JB.  (1997) A Tale Of Three Tails.  Invited paper presentation at “Prevention: Contributions from Basic and Applied Research” conference cosponsored by the Office of Behavioral and Social Sciences Research (OBSSR) of the National Institutes of Health (NIH) and the Science Directorate of the American Psychological Association (APA), Chicago, August 15-18, 1997 p.1-23.
• McMichael AJ (1999) Prisoners of the Proximate: Loosening the Constraints on Epidemiology in an Age of Change.  American Journal of Epidemiology 149:887-897.
• McMichael AJ.  (1995) The Health of Persons, Populations, and Planets: Epidemiology Comes Full Circle.  Epidemiology 6:633-636
• Pearce N.  (1996) Traditional Epidemiology, Modern Epidemiology, And Public Health.  American Journal of Public Health 86: 678-683.
• Rockhill B. (2005) Theorizing about Causes at the Individual Level While Estimating Effects at the Population Level. Epidemiology 16:124-129.
• Rose G. (1985) Sick Individuals and Sick Populations. International Journal of Epidemiology 14:32-38.
• Rose G. (1992) The Strategy of Preventive Medicine.  Oxford University Press.
• Schwartz S and Diez-Roux A. (2001). Causes of Incidence and Causes of Cases: A Durkheimian Perspective on Rose.  International Journal of Epidemiology  30:435-439.
• Schwartz S, Susser E, Susser M. (1999) A Future For Epidemiology?  Annual Review of Public Health 20: 15-33.
• Shy CM. (1997) The Failure of Academic Epidemiology: Witness for the Prosecution. American Journal of Epidemiology 145:479-484. 
• Susser M, Susser E.  (1996) Choosing a Future for Epidemiology: I. Eras and Paradigms.  American Journal of Public Health 86:668-673.
• Susser M, Susser E.  (1996) Choosing a Future for Epidemiology: II. From Black Box to Chinese Boxes and Eco-Epidemiology.  American Journal of Public Health 86:674-677.
• Wing S. (1998) Whose Epidemiology, Whose Health?  International Journal of Health Services 28:241-252.

Good sentences for remember

Good sentences for remember

1. Time flies.
 　时光易逝。

2. Time is money.
 　一寸光阴一寸金。

3. Time and tide wait for no man.
 　岁月无情；岁月易逝；岁月不待人。

4. Time tries all.
 　时间检验一切。

5. Time tries truth.
 　时间检验真理。

6. Time past cannot be called back again.
 　光阴一去不复返。

7. All time is no time when it is past.
 　光阴一去不复返。

8. No one can call back yesterday; Yesterday will not be called again.
 　昨日不复来。

9. Tomorrow comes never.
 　切莫依赖明天。

10.One today is worth two tomorrows.
 　一个今天胜似两个明天。

11.The morning sun never lasts a day.
 　好景不常；朝阳不能光照全日。

12.Christmas comes but once a year.
 　圣诞一年只一度。

13.Pleasant hours fly past.
 　快乐时光去如飞。

14.Happiness takes no account of time.
 　欢娱不惜时光逝。

15.Time tames the strongest grief.
 　时间能缓和极度的悲痛。

16.The day is short but the work is much.
 　工作多，光阴迫。

17.Never deter till tomorrow that which you can do today.
 　今日事须今日毕，切勿拖延到明天。

18.Have you somewhat to do tomorrow,do it today.
 　明天如有事，今天就去做。

19.To him that does everything in its proper time,one day is worth three.
 　事事及时做，一日胜三日。

20.To save time is to lengthen life.
 　节省时间就是延长生命。

21.Everything has its time and that time must be watched.
 　万物皆有时，时来不可失。

22.Take time when time cometh,lest time steal away.
 　时来必须要趁时，不然时去无声息。

23.When an opportunity is neglected,it never comes back to you.
 　机不可失，时不再来；机会一过，永不再来。

24.Make hay while the sun shines.
　 晒草要趁太阳好。

25.Strike while the iron is hot.
 　趁热打铁。

26.Work today,for you know not how much you may be hindered tomrrow.
 　今朝有事今朝做，明朝可能阻碍多。

27.Punctuality is the soul of business.
 　守时为立业之要素。

28.Procrastination is the thief of time.
 　因循拖延是时间的大敌；拖延就是浪费时间。

29.Every tide hath ist ebb.
 　潮涨必有潮落时。

30.Knowledge is power.
 　知识就是力量。

31.Wisdom is more to be envied than riches.
 　知识可羡，胜于财富。

32.Wisdom is better than gold or silver.
 　知识胜过金银，

33.Wisdom in the mind is better than money in the hand.
 　胸中有知识，胜于手中有钱。

34.Wisdom is a good purchase though we pay dear for it.
 　为了求知识，代价虽高也值得。

35.Doubt is the key of knowledge.
 　怀疑是知识之钥。

36.If you want knowledge,you must toil for it.
 　若要求知识，须从勤苦得。

37.A little knowledge is a dangerous thing.
 　浅学误人。

38.A handful of common sense is worth a bushel of learning.
 　少量的常识，当得大量的学问。

39.Knowledge advances by steps and not by leaps.
 　知识只能循序渐进，不能跃进。

40.Learn wisdom by the follies of others.
 　从旁人的愚行中学到聪明。

41.It is good to learn at another man's cost.
 　前车可鉴。

42.Wisdom is to the mind what health is to the body.
 　知识之于精神，一如健康之于肉体。

43.Experience is the best teacher.
 　经验是最好的教师。

44.Experience is the father of wisdom and memory the mother.
 　经验是知识之父，记忆是知识之母。

45.Dexterity comes by experience.
 　熟练来自经验。

46.Practice makes perfect.
 　熟能生巧。

47.Experience keeps a dear school,but fools learn in no other.
 　经验学校学费高，愚人旁处学不到。

48. Experience without learning is better than learning without experience.
 　有经验而无学问，胜于有学问而无经验。

49.Wit once bought is worth twice taught.
 　由经验而得的智慧，胜于学习而得的智慧；一次亲身的体会，胜过两次学习。

50.Seeing is believing.
 　百闻不如一见。
From http://www.bcbay.com/forum/bay/bbsviewer.php?trd_id=214996

NHANES followup datasets
NHANES I Epidemiologic Followup Study (NHEFS) Public-Use Data Files


National Health Interview Survey Linked Mortality Files Public-Use Data Files

FTP directory/linked_mortality