This document provides an introduction to biostatistics. It defines biostatistics as the application of statistics to biology, involving the collection, presentation, analysis, and interpretation of biological data to aid decision-making. The roles of statisticians are to design studies, analyze data using statistical procedures, and present results to researchers. Data can come from records, surveys, or experiments. Data types include quantitative continuous, quantitative discrete, qualitative nominal, and qualitative ordinal variables. Common methods to present data are numerical tables, graphs, and mathematical summaries including measures of central tendency, dispersion, and standard error.
This ppt is all about Biostatistics for Medical, Nursing and Pharmacy Students...
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Biostatistics are the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Statistical Analysis is complex part but reporting of data in proper manner with proper selective graphs & interpretations is also necessary part of data analysis !!!
This ppt is all about Biostatistics for Medical, Nursing and Pharmacy Students...
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Biostatistics are the development and application of statistical methods to a wide range of topics in biology. It encompasses the design of biological experiments, the collection and analysis of data from those experiments and the interpretation of the results.
Statistical Analysis is complex part but reporting of data in proper manner with proper selective graphs & interpretations is also necessary part of data analysis !!!
Edward Cachay, MD, MAS
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
Edward Cachay, MD, MAS
Professor of Medicine
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Department of Medicine
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This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
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3. Biostatistics
(a portmanteau word made from biology and
statistics)
The application of statistics to a wide range of topics
in biology.
4. Biostatistics
It is the science which deals with development and
application of the most appropriate methods for
the:
Collection of data.
Presentation of the collected data.
Analysis and interpretation of the results.
Making decisions on the basis of such analysis
5. Other definitions for “Statistics”
Frequently used in referral to recorded data
Denotes characteristics calculated for a set of data :
sample mean
6. Role of statisticians
To guide the design of an experiment or survey
prior to data collection
To analyze data using proper statistical
procedures and techniques
To present and interpret the results to researchers
and other decision makers
10. Numerical presentation
Graphical presentation
Mathematical presentation
Methods of presentation of data
11. 1- Numerical presentation
Tabular presentation (simple – complex)
Simple frequency distribution Table (S.F.D.T.)
Title
Name of variable
(Units of variable)
Frequency %
-
- Categories
-
Total
12. Table (I): Distribution of 50 patients at the surgical
department of Alexandria hospital in May 2008 according
to their ABO blood groups
Blood group Frequency %
A
B
AB
O
12
18
5
15
24
36
10
30
Total 50 100
13. Table (II): Distribution of 50 patients at the surgical
department of Alexandria hospital in May 2008 according
to their age
Age
(years)
Frequency %
20-<30
30-
40-
50+
12
18
5
15
24
36
10
30
Total 50 100
14. Complex frequency distribution Table
Table (III): Distribution of 20 lung cancer patients at the chest department
of Alexandria hospital and 40 controls in May 2008 according to smoking
Smoking
Lung cancer
Total
Cases Control
No. % No. % No. %
Smoker 15 75% 8 20% 23 38.33
Non
smoker 5 25% 32 80% 37 61.67
Total 20 100 40 100 60 100
15. Complex frequency distribution Table
Table (IV): Distribution of 60 patients at the chest department of
Alexandria hospital in May 2008 according to smoking & lung cancer
Smoking
Lung cancer
Total
positive negative
No. % No. % No. %
Smoker 15 65.2 8 34.8 23 100
Non
smoker 5 13.5 32 86.5 37 100
Total 20 33.3 40 66.7 60 100
16. 2- Graphical presentation
Graphs drawn using Cartesian
coordinates
• Line graph
• Frequency polygon
• Frequency curve
• Histogram
• Bar graph
• Scatter plot
Pie chart
Statistical maps
rules
17. Line Graph
0
10
20
30
40
50
60
1960 1970 1980 1990 2000
Year
MMR/1000 Year MMR
1960 50
1970 45
1980 26
1990 15
2000 12
Figure (1): Maternal mortality rate of
(country), 1960-2000
19. Frequency polygon
Age
Sex
M-P
M F
20- (12%) (10%) 25
30- (36%) (30%) 35
40- (8%) (25%) 45
50- (16%) (15%) 55
60-70 (8%) (20%) 65
0
5
10
15
20
25
30
35
40
25 35 45 55 65
Age
%
Males Females
Figure (2): Distribution of 45 patients at (place) , in
(time) by age and sex
21. Histogram
Distribution of a group of cholera patients by age
Age (years) Frequency %
25-
30-
40-
45-
60-65
3
5
7
4
2
14.3
23.8
33.3
19.0
9.5
Total 21 100
0
5
10
15
20
25
30
35
0
2
5
3
0
4
0
4
5
6
0
6
5
Age (years)
%
Figure (2): Distribution of 100 cholera patients at (place) , in (time)
by age
27. 1- Measures of central tendency (averages)
Midrange
Smallest observation + Largest observation
2
Mode
the value which occurs with the greatest
frequency i.e. the most common value
Summery statistics
28. 1- Measures of central tendency (cont.)
Median
the observation which lies in the middle of
the ordered observation.
Arithmetic mean (mean)
Sum of all observations
Number of observations
Summery statistics
29. Measures of dispersion
Range
Variance
Standard deviation
Semi-interquartile range
Coefficient of variation
“Standard error”
30. Standard deviation SD
7 7
7 7 7
7
7 8
7 7 7
6 3 2
7 8 13
9
Mean = 7
SD=0
Mean = 7
SD=0.63
Mean = 7
SD=4.04
31. Standard error of mean SE
A measure of variability among means of samples
selected from certain population
SE (Mean) =
S
n