- Page 1 and 2: Understanding the Fundamentals of E
- Page 3 and 4: Preface Introductory epidemiology c
- Page 5 and 6: Table of Contents Chapter (in Acrob
- Page 7 and 8: 1. Introduction Definition, charact
- Page 9 and 10: problems (Schwartz and Carpenter, 1
- Page 11 and 12: HIV - a new or newly-recognized vir
- Page 13 and 14: d = principal investigator's degree
- Page 15 and 16: Analytic studies typically involve
- Page 17 and 18: Observational sciences especially a
- Page 19 and 20: McGavran EG. What is public health?
- Page 21 and 22: 2. An evolving historical perspecti
- Page 23 and 24: Time line for the history of public
- Page 25 and 26: as a one-room bacteriology laborato
- Page 27 and 28: − Health surveys − Research fun
- Page 29 and 30: his scientific peers of the correct
- Page 31 and 32: Kuhn, Thomas S. The structure of sc
- Page 33 and 34: 3. Studying populations - basic dem
- Page 35 and 36: The demographic balancing equation
- Page 37 and 38: ates. Similarly, bulges in the repr
- Page 39 and 40: When the baby boom cohort retires 1
- Page 41: The pervasiveness, strength, viciou
- Page 45 and 46: Life expectancy The technique, of u
- Page 47 and 48: Excerpt from the U.S. 1993 abridged
- Page 49 and 50: At the other end of the life table,
- Page 51 and 52: to change, hopefully to decline. If
- Page 53 and 54: Thought question: Professors typica
- Page 55 and 56: Descriptive studies and surveillanc
- Page 57 and 58: 4. The Phenomenon of Disease Concep
- Page 59 and 60: Classification is the foundation As
- Page 61 and 62: As we gain more sophisticated under
- Page 63 and 64: To recapitulate the above discussio
- Page 65 and 66: Classifying cause of death Since mo
- Page 67 and 68: Laboratory and other objectively me
- Page 69 and 70: distribution but are not diabetic (
- Page 71 and 72: program in the general population,
- Page 73 and 74: Infectious disease Incubation "time
- Page 75 and 76: the direct effects of carcinogenic
- Page 77 and 78: patient outcomes. The design and ev
- Page 79 and 80: detected by screening will appear b
- Page 81 and 82: Morrison, Alan S. Screening in chro
- Page 83 and 84: e relevant. Compromises might be fo
- Page 85 and 86: educational attainment by the numbe
- Page 87 and 88: Distributions - the fuller picture
- Page 89 and 90: Per capita income: Should health ca
- Page 91 and 92: Deaths of children < 1 year of age
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No. of persons with senile dementia
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Incidence Immigration Relationship
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Examples: arthritis, cholelithiasis
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Cohort - entrance into the populati
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Sample calculation: 200 people free
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• The units of time must be state
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Calculation of person-time in a coh
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Original Calculation of person-time
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average risk for a member of the co
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However: Nurses: 601 cases/89,538 w
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treated. If the rate at which patie
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Incidence and prevalence in a popul
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small prevalence. So if the seropre
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Appendix on weighted averages Becau
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Appendix on exponents and logarithm
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and epidemiology. The notation ln(x
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3. For the following hypothetical d
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c. ________________ 6 fatalities /
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Measuring disease and exposure - As
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5. a. Flow Diagram Population of si
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New cases Q ID = ------------------
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Overview 6. Standardization of rate
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differences between the groups in f
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∑ (stratum-specific rates �× s
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especially important when comparing
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copy this cell to the other columns
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where the RR k are the stratum-spec
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and the observed number of deaths i
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Directly standardized rate for A =
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5,022 Indirectly standardized = —
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the situation among older age group
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Appendix on Standardized Mortality
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across age strata, then the damage
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d. How would you feel about the con
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Cases per 100,000 Mean annual incid
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d. dt Indirectly standardized rates
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The second ingredient for an standa
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Group US rate /100,000 County pop.
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Crude rates are comparable because
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The "Big Picture" 7. Relating risk
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Consider first the table on the lef
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The epidemiologist first arranges t
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(I1 - I0)/I0 = (0.01200-0.00800 / 0
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Descriptive adjectives for magnitud
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Odds ratio The odds ratio (OR) is a
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Duncan C. Thomas, "On the need for
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6. Odds of exposure in controls Pro
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CID = CI1 - CI0 = .20 - .10 = .10 (
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When both disease and exposure have
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variables is linear. An r of zero m
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2. In HIV-discordant couples in whi
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Incidence Diagrammatic representati
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PAR = AR × P1 = (I1 - I0)P1 = I -
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expresses the prevented cases as a
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Incidence Diagrammatic representati
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The result, (NHIH)/(NLIL+NHIH), is
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Proportion with = 0.5 ( 22 --- ) +
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CI may be preferred: � if the hea
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Appendix — Relating risk factors
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By definition, oddsr = risk / (1 -
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Bibliography Measures of effect: Te
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Relating risk factors to health - A
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4. In a study of adverse effects of
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number of "permanent" quits (define
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= I1n1- I0n1 + I0n0 - I0n0 ——
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2. Imprecision in determining the t
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Sometimes the appearance of a new s
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Case-control (case-referent, etc.)
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ealistic setting and results may th
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"ecologic fallacy", the erroneous i
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can vary substantially among indivi
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e estimated from that study since t
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Risk ratio Consider the example of
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Dietary Salt Intake and hypertensio
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Intervention trials can include tes
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Treatment allocation can be 1) fixe
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Example Cases Case-control studies
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Cases Controls ____________________
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population and that the controls we
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Estrogen users (N1) Nonusers (N0) N
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In the 3 × 10 6 unexposed women-ye
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similar to that in the case group t
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A modern perspective In general, de
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of exposed to unexposed persons sam
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Case-control studies: Armenian, Har
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Wingo, Phyllis A.; Howard W. Ory, P
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Part I Analytic study designs - Ass
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1. Doll and Hill state (page 1451,
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Part I Analytic study designs - Ass
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� Possible motivation to change b
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9. Causal inference * The desire to
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1955:35). Quarantine of sick person
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The mother who replaced the burned-
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As presented in Kleinbaum, Kupper,
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Popper maintains that it is fundame
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1. Is the association real or artef
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Temporality First exposure, then di
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confer upon us a freedom to ignore
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Lave, Lester B.; E.P. Seskin. Epide
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Precision The presence of random va
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the point estimate is based and thu
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methodological literature. Validity
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disease detection may be mistakenly
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In cohort studies, the primary sour
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present, then the D&C would detect
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Controls in an experiment In a true
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Southern endometrial cancer and est
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Cases ` The ` "detection bias" hypo
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from ETS, then a cohort study of ha
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employing lead exposure measures fr
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which the both measures increase in
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coefficient (slope) is to 1.0 and t
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_ _ Se = Pr(D'|D) Sp = PR(D'|D) _ _
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Differential misclassification, how
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subject plus or minus a random nois
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Appendix 2 More on the concern to a
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Bibliography Henneckens and Buring.
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Sackett, D.L.: Bias in analytic res
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e. OPTIONAL: If the reported cumula
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Results from the Evans County Cardi
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2. I1 = incidence in the exposed P1
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makes most sense to view detection
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Sensitivity × cases + (1 - Specifi
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In the factual world, however, we c
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Hypertensive SI participants were t
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3,154 male managers and white colla
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Table 2 Relationship of CHD to Beha
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a group did indeed have higher CHD
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Confounding - comparison of weighte
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Type A smokers) are not very meanin
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Different control groups for hypoth
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Confounding, then, is a function of
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Since the OR is the crossproduct ra
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Case-control study In a case-contro
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First and foremost, a potential con
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is defined in relation to the count
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poor. A scientific basis linking ra
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One way to obtain a better balance
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Stratified analysis is intuitively
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attributed to the exposure of inter
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Bibliography Rothman and Greenland
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Senior P, Bhopal RS. Ethnicity as a
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Some of the relationships just pres
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n1i _______________________________
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2. A 20-year retrospective cohort s
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No. of urinary tract infections Tab
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2. completely attributable to obesi
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5. a. C -- the adjusted relative ri
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of dietary antioxidants. However, c
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epidemiologic research is to identi
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Since the indicator variable (POP)
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Over two decades ago (Causes, Am J
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In this diagram, G and H exhibit ab
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In this situation, the first suffic
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Crude rates as weighted averages Re
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Lung cancer rates by smoking and as
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{B0} Smk Smk Asb. Asb. {B1} {B2} {B
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Notation for joint effects R1 risk
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and R111 = R000 + RD100 + RD010 + R
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RR11 = RR10 × RR01 [End of aside]
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multiplicative model supports the u
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Effect modification as a reflection
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4. Defining subgroups for preventiv
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Bibliography Rothman and Greenland,
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Multicausality: Effect modification
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4. Several studies have shown a syn
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1. Multicausality: Effect modificat
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In these data, or, Expected ROC,SMK
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to drinking in the absence of smoki
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we determine that confounding is pr
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Association between reserpine and b
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R11 R10 × R01 R10 —— = ——
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Hypothetical data on incidence of m
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1. Data conform to an additive mode
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Difference measure - the CID The va
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Distribution of CIR, IDR, OR 0 +1 M
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1 wi = ---------------------------
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5 Y n B 3 n Y C 8 n Y C 4 Y Y D 7 Y
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R11 - R00 = (R10 - R00) + (R01 - R0
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You may well wonder what is the val
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Moreover, the logistic model, we wi
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Key epidemiologic assumptions in th
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a + b1X1 + b2X2 + b3X3 + …) on th
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Wilcosky, Timothy C. and Lloyd E. C
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Data analysis and interpretation Ep
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Range checks Range checks compare e
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� Decisions deferred have to be m
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� Simpler is better � Avoid ext
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educe bias and tend to introduce ad
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data. Perhaps too often generalitie
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When this "analogous experiment" is
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tests are based (e.g., see Sander G
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The probability associated with bei
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conclude that the association is su
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Exposed to diethylstilbesterol? Yes
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For example, suppose that we are co
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The idea behind small studies bias
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Confidence intervals address the qu
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Computing a confidence interval for
- Page 491 and 492:
Bibliography General Ahlbom, Anders
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Thompson, W. Douglas. Statistical c
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Appendix Estimating sample size to
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p1 (1 - p1) p2 (1 - p2) σ 2 1 σ 2
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Margin of error (rounded) Point Sam
- Page 501 and 502:
Meditations on hypothesis testing a
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Independent replication is the corn
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More meditations on interpreting st
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Part I Data analysis and interpreta
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Part I 1. (a) Restriction Data anal
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9. ORCIG,HYP,OC [multiplicative mod
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15. Practical aspects of epidemiolo
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(CDC, which includes the National I
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cardiovascular area -- notably the
- Page 519 and 520:
Disease Control (CDC) decided again
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After submission but before the awa
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Journal of Medicine, Jan 14, 1999,
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Explore the data � Look at data (
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Recently, standardization has come
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Riesenberg, Don; Goerge D. Lundberg
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16. Data management and data analys
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implications, or suspicions or char
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1.4.1.2 Consistency Consistency is
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1.4.5.1.2 Series Runs in series are
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Obviously it will be easier to asse
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2.1.2.1 Statistical There are forma
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2.3.5 Bivariate displays If the sam
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errors. Related to this concern is
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3.3 Expected values Perhaps, the si
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Despite the best efforts, however,
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Complete data cases % distribution
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3.5 Outliers Outliers are now exami
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Bibliography Davidson, Fred. Princi
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attrib ckd length=$1 label='Check d
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17. Epidemiology and public health
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� Geneva - " . . . IFV and allied
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public health, since the best oppor
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Individual-level versus societal le
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14%, so that the burden of the envi
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1. exhausting various non-renewable
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O'Hare WP, Pollard KM, Mann TL, Ken
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� Health for all What contributes
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Challenges in the environment for e
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� What kind of population is requ
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Bibliography American College of Ep