role of statistics in biomedical research
TRANSCRIPT
Role of statistics in biomedical research
Name:eman raouf ahmed youssifMedical research institute
The content:
introduction
introductionStatistics is the
science that deals with data
Collection of data
Presentation of data
Analysis of data
1-collection of data
Data could either be
Constant
variable
Variables types of data are divided in to :
Continuous discrete nominal ordinal
quantitative qualitative
2-presentation of data
1-the average
*mean *median *mode *the mid range
*the proportion
The percent
Continue presentation of data
2-measure of dispersion
*the standard deviation
*the minimum and maximum *the range
Statistics-example
CommentThe median age of the sample is 6 years old ranging from 1-18 years old.
The mean hemoglobin is 7.7+- 3.1 gm/dl
Hb age
7.7 7.65 mean
6.9 6 median
3.09 4.8 Std. deviation
3 1 minimum
14 18 maximum
Graphical presentation of data
1-presentation of the distribution of a qualitative variable and quantitative discrete
1- bar chart
2-the pie chart
2- presentation of the distribution of a quantitative continuous variable
1-the histogram
2-the frequency polygon
3-The frequency curve
3-presentation of a quantitative variable
The box plot
The error bar
Hypothesis testing and statistical significance
3-Analysis of data
Epidemiological studies
1-descriptive epidemiological studies
Types:Case report
Case series reportCorrelational studies
Cross sectional studies
2-Analytical epidemiological studies
Case control studiesCohort studies
A-prospective cohortB-retrospective cohort
3-Research designsExperimental designs
Clinical trialsMeta analysis
1 -descriptive epidemiological studies
A- case reportB-case series report:
Utilities of case report and case series report*identify a new case
Formulate a new hypothesisLimitations of case report and case series
*the case report is based on the experience of only person so the presence of any exposure may be coincidental
•The lack of of the comparison group in case series report can’t prove an association
•So both of them can’t be used to test the presence or absence of association
Continue descriptive
C-correlational studyExample:
1-disease frequencies between different populations during the same period of time
E.g.: correlation between the average daily consumption of meat and the rate of cancer colon in women from different countries
So countries with lower average meat intakes have the lowest rates of cancer colon and vice versa
2-disease frequencies in the same population at different population at different points of time.
e.g. observation of the deaths from coronary heart diseases during the years from 1968 to 1977 revealed gradual decline and it was lower than the expected
values.
Continue descriptive –correlation study
Advantages:
Quick and inexpensive
They generate hypothesis
Limitations:
They can’t be used for testing the hypothesis (never prove causation)
It’s impossible to link exposure and disease in particular individual
Continue descriptive- cross sectional study (prevalence studies)
Incidence and prevalence
Continue cross sectional study:
Benefits of cross sectional study:It shows the association between exposure and disease
It’s quick and cheapIt’s suitable for relatively frequent disease with long latency
Generate hypothesisLimitations of cross sectional study
*data deals with survival (who died or cured) are not included*it can’t be used in acute diseases of short duration
It’s not suitable for rare diseasesCan’t test hypothesis
Analytical epidemiological studies
*case –control studies*cohort studies
A-prospective cohortB-retrospective cohort
C-clinical trial
A-case-control studySteps:
1 -selection of cases2-selection of control
3-assesment of exposure4-analysis and interpretation of the results
The main advantage of the case-control study
*easy, rapid and cheap*require few subjects
*suitable for rare diseases*suitable for diseases with long latency period
*examine multiple etiologic factors for a single disease.*estimation of the risk allow us to test a hypothesis, so
preventive program can be established*no follow up of cases so no attrition bias
Limitations of the case –control study
Cohort study-prospective cohort
Steps:*selection of the cohort
*obtaining data on exposure*follow up
*analysis and interpretation of the results
Clinical trials(types and phases)
references
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