Biostatistics.

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Presentation transcript:

Biostatistics

Vital statistics: probably the major source of information about the health of population is its vital statistics. By vital statistics we mean the data collected from ongoing recording, or registration of all "vital events”, deaths, marriages, adoptions, and fetal deaths, divorces, legal separations and annulments. We will discuss only those aspects of registration with which physician are much concerned certification of deaths, births and fetal deaths.

Epidemiology: Epidemiology is the study of the distribution and Determinant of diseases and injuries in human population.

Statistics: The term statistics is concerned with scientific methods for collecting, organizing, presenting and analysis data, as well as drawing valid conclusions and making reasonable decisions on the basis of such analysis.

Bio Statistics: Is the branch of statistics, which deal with collecting, presenting, summarizing, analyzing and interpreting sets of data in health field.

Scale of measurements Nominal scale Ordinal or raking scale Interval scale Ratio scale

A variable: It is a value of characteristics that changes from one subject to another, from thing to thing

variables can be divided to: 1.Qualitative variable 2.Quantitative variable. It is divided to : A. Continuous variable B. Discrete variable

Collection of data: 1.Regular or routine system: 2.AD HOC System: Consist of registration procedure for collecting data as the become a variable. 2.AD HOC System: A survey to collect information that is not available on a regular basis. It is done for local administrative or research purpose.

Data Presentation

(a) Presentation of qualitative data: 1.Tabulation form 2.Graphical form

1- Tabulation form: Frequency Sex 30 Male 20 Female 50 Other The basic rule for displaying qualitative data is to classify them into categories and then count the number of observations in each category of the variable and present the number and percentage in a table 1- Tabulation form: Frequency Sex 30 Male 20 Female 50 Other

Cross tabulation: Total Disease No Disease Test Result 90 80 10 A Frequency table involving at least two variable that have been cross classified. Example Total Disease No Disease Test Result 90 80 10 Positive 210 20 190 Negative 300 100 200

1.Graphical form: 1.Bar chart: Is used with categories data, with nominal data

2- Pie chart: Sectors of a circle with areas proportional to class frequencies, used to present data in nominal classes Example: Fig (1) the number of students according to the sex

(B) Presentation of quantitative data: 1.Tabulation form 2.Graphic form

Number of observations (1) Tabulation form: Example (1): Serum albumin value in g/ liter of blood of 50 women seen in survey are as follow : 42 , 41 , 42 , 44 , 44 , 36 , 38 , 41 , 42 , 44 , 42 , 39 , 49 , 40 , 45 , 32 , 34 , 43 , 37, 39 , 41 , 39 , 48 , 42 , 43 , 33 , 43 , 35 , 32 , 34 , 39 , 35 , 43 , 44 , 47 , 40 , 39 , 42 , 41 , 46 , 37 , 49 , 41 , 39 , 43 , 42 , 47 , 48 , 51 , 52 . Number of observations Serum Albumin (g/liter) 3 30- 7 34- 14 38- 17 42- 46- 2 50-53 50 Total

2- Graphic form: 1- Histogram 2- Frequency polygon (line chart) 3- Frequency curve 4- Cumulative frequency polygon (ogive)

Measure of central tenderly and location Arithmetic's mean: The sum of all values of a set of observations divided by the number of observations. The median : When a set of observation is the value that divides a distribution into two equal halves. The mode : The most frequently occurring in series of observations

Example: For the following data 10 , 8 , 7 , 2 , 8 , 7 find the mean median and mode .

Solution: The mean: x =∑x n = 10 + 8 + 7 + 2 + 8 + 7 =7 6 The median: = 10 + 8 + 7 + 2 + 8 + 7 =7 6 The median: Array all the observations in a sending order 2,7,7,8,8,10 X = 8+7 / 2 = 7.5

The mode: There are two modes: X=7 & 8

if the mean, the mode and the median are equal the distribution of observation is symmetric

If the mean larger than the median, the distribution is skewed to the right. mode mean

If the mean is smaller than the median , the distribution skewed to the left. mode mean