- PowerPoint PPT Presentation

About This Presentation
Title:

Description:

UNIVERSITY OF MEDICINE AND PHARMACY TIMISOARA DEPARTMENT OF MEDICAL INFORMATICS AND BIOPHYSICS Medical Informatics Division www.medinfo.umft.ro/dim – PowerPoint PPT presentation

Number of Views:30
Avg rating:3.0/5.0
Slides: 31
Provided by: gmih
Category:

less

Transcript and Presenter's Notes

Title:


1
Victor Babes UNIVERSITY OF MEDICINE AND
PHARMACY TIMISOARA
  • DEPARTMENT OF
  • MEDICAL INFORMATICS AND BIOPHYSICS
  • Medical Informatics Division
  • www.medinfo.umft.ro/dim
  • 2007 / 2008

2
CORRELATION ANALYSISEPIDEMIOLOGY
  • COURSE 6

3
  • 1. RELATIONS BETWEEN TWO QUANTITATIVE VARIABLES
    .
  • 1.1. DEPENDENCY DEGREE .
  • STATE SPACE (DIAGRAM)
  • 1 INDIVIDUAL 1 POINT

4
a) INDEPENDENT VARIABLES HG hemoglobin
concentration h height
5
b) DEPENDENT VARIABLES Causal relation -
mathematical model O2 in the blood -
atmospheric pO2
6
c) CORRELATED VARIABLES G weight, h height
7
  • 1.2. LINEAR CORRELATION
  • a) CORRELATION COEFFICIENT (Pearson)
  • rxy sxy / sx sy
  • sxy covariance
  • sx variance of x
  • sy variance of y

8
  • b) PROPERTIES
  • VALUES -1, 1
  • r gt 0 gt DIRECT CORRELATION
  • r lt 0 gt INVERSE CORRELATION
  • WEAK / STRONG CORRELATION
  • WEAK CLOSE TO 0
  • STRONG CLOSE TO -1 OR 1
  • TESTING r WITH t TEST - significance

9
Direct and inverse correlations
10
1.3. REGRESSION LINE(best line among the
points)
  • a) EXAMPLE
  • HEIGHT CHILDREN - PARENTS
  • hc gt hp
  • SLOPE lt 1 gt REGRESSION
  • TENDENCY TOWARDS MIDDLE REGION
  • b) LINE PARAMETERS y a b x
  • a INTERCEPT
  • b SLOPE

11
1.5. NONLINEAR CORRELATIONS
  • a) EXPONENTIAL
  • y a . e b.x
  • Increasing (b gt 0) ABSORBTION
  • Decreasing (b lt 0) CLEARANCE

12
  • b) LOGARITHMIC
  • y a b . log x
  • WEBER - FECHNER LAW (Sensation)
  • c) POWER
  • y a . x b
  • STEVANS LAW (Neural frequency)

13
  • d) HYPERBOLIC
  • (x - a) . (y - b) k
  • HILL LAW (Muscular contraction), ABBEY
  • e) LOGISTIC
  • y a . x / (k x)
  • MICHAELIS - MENTEN (Enzymatic kinetics)
  • ARIENS (Dose - response curves)

14
2. CORRELATIONS FOR ORDINAL VARIABLES
  • 2.1. RANK CORRELATION COEFFICIENT
  • SPEARMAN R
  • Comparing two classifications
  • 2.2. KENDALL CORRELATION COEFFICIENT
  • Appl. for ordinal and nominal variables

15
2. EPIDEMIOLOGICAL BIOSTATISTICS
16
1. RISK ANALYSIS
  • 1.1. RISK FACTORS
  • a) DEFINITION
  • Hypothetical cause for disease occurrence or
    facilitation
  • b) CLASSIFICATION
  • Environmental
  • Social
  • Behaviorial
  • Biological

17
1.2. DATA TABLES (Contingency tables)
18
  • 1.3. METHODS

19
  • 1.3. METHODS
  • A- EXPERIMENTAL
  • RISK FACTOR CONTROL
  • DISADVANTAGE ETHICAL REASONS
  • B- OBSERVATION-BASED

20
  • a) CROSS - SECTIONAL
  • TRANSVERSAL Moment situation in a large sample
  • b) COHORT - PROSPECTIVE
  • LONGITUDINAL
  • Two groups Exposed / Unexposed
  • c) COHORT - RETROSPECTIVE
  • d) CASE - CONTROL
  • Two groups Disease / No-disease
  • e) Comparison
  • EXP gt COH.pr. gt COH.ret. gt CASE-C. gt CR.S.

21
(No Transcript)
22
  • 1.4. FONDAMENTAL PARAMETERS IN EPIDEMIOLOGY
  • ODD INDEX (success / fail)
  • ODD (E) N11 / N12
  • ODD (E-) N21 / N22
  • ODDS RATIO (OR)
  • OR ODD(E) / ODD(E-)
  • OR N11 . N22 / N12 . N21

23
  • ABSOLUTE RISK (success rate)
  • R (E) N11 / L1
  • R (E-) N21 / L2
  • RELATIVE RISK (RR)
  • RR R(E) / R(E-)
  • RR N11 . L2 / N21 . L1
  • Usually OR gt RR
  • IF OR gt 1 (RR gt 1) gt RISK !

24
3. SURVIVALANALYSIS
25
  • 1. CHARACTERISTICS
  • missing data, long duration of study
  • heterogenous conditions
  • several influencing factors
  • 2. DATA PROCESSING
  • life tables
  • actuarial method
  • Kaplan Mayer curves

26
Data collection
27
Actuarial method
28
Kaplan Mayer plots
29
  • 3.3. INDICATORS
  • Life Years (Survival years)
  • QoL Index Quality of Life
  • Adjusting Life Years to QALY (Quality Adjusted
    Life Years)

30
- e n d -
Write a Comment
User Comments (0)
About PowerShow.com