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Wilfried Karmaus

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Epidemiology = Bridge between natural an social science and statistical models ... new data (interviews, clinical, blood, human milk, placenta, amniotic fluid, etc. ... – PowerPoint PPT presentation

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Title: Wilfried Karmaus


1
EPI 824 Reproductive outcomes
  • Wilfried Karmaus
  • Department of Epidemiology, MSU
  • karmaus_at_msu.edu
  • You find class material in
  • http//www.msu.edu/course/epi/824/

2
Content
  • Scales
  • Incidence, point / period / lifetime prevalence
  • Sources of information
  • Methods of determination
  • Reproductive markers (outcomes)
  • Time-related
  • Variable or stable characteristic
  • Validity and reproducibility

3
Epidemiology Bridge between natural an social
science and statistical models
Science to describe distribution of health and
its risk factors in a population
Natural and social science
Statistical models that describe different
distribution
4
Scales
  • Nominal scale (no inherent order)
  • Ordinal scale
  • Continuous scale (interval scale, ratio scale,
    discrete data counts
    )

Epidemiologic measures
  • Incidence change of status over time rate
    (time is in the denominator)
  • Prevalence proportion risk
  • Point prevalence (on this day etc., in this exam)
  • Period prevalence (in the last 3 months, 12
    months, etc.
  • Life time prevalence ever experienced

5
Sources of information
  • Collection of new data (interviews, clinical,
    blood, human milk, placenta, amniotic fluid,
    etc.)
  • Files (medical files, company files, etc.)
  • Public records (birth registry, natality
    statistics, grave yards, birth defects, for
    Michigan http//www.mdch.state.mi.us/pha/osr/inde
    x.asp for Jacobs Institute of Womens Health
    http//www.jiwh.org)

6
Methods of determination
  • Interviews, questionnaires
  • Abstract existing files
  • Clinical investigations breech or cephalic
    presentation, malformations, birth weight, head
    circumference, ultrasound examinations, etc.
  • Biochemical measurements hormones, AFP,
    pregnancy tests, etc.

7
Reproductive outcomes (markers)
  • Time-related markers
  • age at menarche
  • age at menopause
  • age at first intercourse
  • interval between menarche and first
    intercourse
  • age at first marriage
  • cycle length, duration of menstruation

8
Reproductive outcomes (markers)
  • Time-related markers
  • gestational age
  • LMP (date of last menstrual period before
    conception)
  • Time to pregnancy (TTP)
  • Periods of unprotected TUI
    intercourse not leading to (time of
    pregnancy (PUNP) unprotected

    intercourse)

(time of unprotected intercourse)
9
Reproductive outcomes (markers)
  • Behavioral markers
  • Contraceptive use
  • Planning a baby
  • Frequency of sexual intercourse
  • Number and gender of partners
  • Use of fertility services

10
Reproductive outcomes (markers)
  • Pregnancy characteristics / reproductive history
  • Gravidity
  • Parity
  • Plurality
  • Pregnancy outcome (stillbirth, live birth,
    induced abortion, miscarriage, ectopic
    pregnancy, etc.)
  • Gender of the offspring
  • Number of children

11
Reproductive outcomes (markers)
  • Clinical characteristics
  • Fetal growth (ultrasound)
  • breech / cephalic delivery
  • birthweight, size, head circumference
  • placental markers
  • malformations
  • retinopathy of prematurity
  • fibroids, neoplasm
  • genital and breast development (Tanner
    stages)
  • variocele, PID, etc.

12
Reproductive outcomes (markers)
  • Biochemical characteristics
  • Male
  • hormones
  • sperm count / motility
  • Female
  • hormones
  • AFP, etc.
  • Pregnancy
  • pregnancy test, hormone profiles
  • immunological markers, RH-, ABO-system
  • bilirubin, etc.

13
Validity and Reliability
  • Validity of a measurement We have a gold
    standard.
  • Pap smear and biopsy
  • Circumcision status and physicians
    examination by questionnaire
  • Reliability or reproducibility of a measurement
  • We compare two or more proxy-measurements
    or two or more determination of the gold
    standard.

14
Assessment of validity of a measurement
Truth
positive predictive valuea/(ab)
negative predictive value d/(cd)
Sensitivity Pr(classified diseased?truly
diseased) a/(a c)
Specificity Pr(classified non-diseased? truly
non diseased) d/(b d)
15
Validity of a measurement criteria -
specificity and - sensitivity
Sensitive tests high detection rate of persons
truly diseased (or truly exposed) Specif
ic tests high detection rate of persons
free of disease (or free of exposure) S
ensitivity and specificity of a test are
independent of the prevalence of the disease
(exposure).
16
Reproducibility of a measurement Reliability
Comparing measurements, not with a gold
standard.
  • Inter-rater (between observer)
  • Intra-rater (test retest, within observer)

17
Reproducibility of a measurement
   Discrete variables kappa coefficient
  Continuous variables intra-class correlation
coefficient (ICC)
perfect agreement kappa 1 chance agreement
kappa 0
18
Take home points
  • Reproductive epidemiology uses a wide range of
    measurement methods.
  • Time-related measurements are common variables in
    reproductive epidemiology.
  • We cannot not easily express all variables as
    incidence or prevalence.
  • Questionnaires and registry data are frequently
    applied to determine the burden of health
    problems.
  • Specific and more costly procedures are used to
    determine the etiology of adverse outcomes in
    smaller samples.
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