1 / 32

بسم الله الرحمن الرحيم

بسم الله الرحمن الرحيم. Introduction to Biostatistics. Dr. Moataza Mahmoud Abdel Wahab Lecturer of Biostatistics High Institute of Public Health University of Alexandria. Biostatistics. (a portmanteau word made from biology and statistics)

austine
Download Presentation

بسم الله الرحمن الرحيم

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. بسم الله الرحمن الرحيم

  2. Introduction to Biostatistics Dr. Moataza Mahmoud Abdel Wahab Lecturer of Biostatistics High Institute of Public Health University of Alexandria

  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

  7. Types of data Constant Variables

  8. Types of variables Quantitative variables Qualitative variables Quantitative continuous Qualitative nominal Quantitative descrete Qualitative ordinal

  9. Methods of presentation of data • Numerical presentation • Graphical presentation • Mathematical presentation

  10. 1- Numerical presentation Simple frequency distribution Table (S.F.D.T.) Tabular presentation (simple – complex) Title

  11. Table (I): Distribution of 50 patients at the surgical department of Alexandria hospitalin May 2008 according to their ABO blood groups

  12. Table (II): Distribution of 50 patients at the surgical department of Alexandria hospitalin May 2008 according to their age

  13. Complex frequency distribution Table Table (III): Distribution of 20 lung cancer patients at the chest department of Alexandria hospital and 40 controlsin May 2008 according to smoking

  14. 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

  15. 2- Graphical presentation • Graphs drawn using Cartesian coordinates • Line graph • Frequency polygon • Frequency curve • Histogram • Bar graph • Scatter plot • Pie chart • Statistical maps rules

  16. Line Graph Figure (1): Maternal mortality rate of (country), 1960-2000

  17. Frequency polygon

  18. Frequency polygon Figure (2): Distribution of 45 patients at (place) , in (time) by age and sex

  19. Frequency curve

  20. Histogram Figure (2): Distribution of 100 cholera patients at (place) , in (time) by age

  21. Bar chart

  22. Bar chart

  23. Pie chart

  24. Doughnut chart

  25. 3-Mathematical presentationSummery statistics • Measures of location 1- Measures of central tendency 2- Measures of non central locations (Quartiles, Percentiles ) • Measures of dispersion

  26. Summery statistics 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

  27. Summery statistics 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

  28. Measures of dispersion • Range • Variance • Standard deviation • Semi-interquartile range • Coefficient of variation • “Standard error”

  29. Standard deviation SD 7 8 7 7 7 6 7 7 7 7 7 7 3 2 7 8 13 9 Mean = 7 SD=0.63 Mean = 7 SD=0 Mean = 7 SD=4.04

  30. Standard error of mean SE A measure of variability among means of samples selected from certain population

  31. Thank You

More Related