introduction to statistics and biostatistics and definitions
Download
Skip this Video
Download Presentation
Introduction to Statistics and Biostatistics and Definitions

Loading in 2 Seconds...

play fullscreen
1 / 18

Introduction to Statistics and Biostatistics and Definitions - PowerPoint PPT Presentation


  • 106 Views
  • Uploaded on

Introduction to Statistics and Biostatistics and Definitions. REFERENCE BOOKS. 1. WA 900 D184 1991 Daniel, Wayne W. Biostatistics: A Foundation for Analysis in the Health Sciences 2. WA 950 D272 2004 Dawson, Beth Trapp, Robert G.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Introduction to Statistics and Biostatistics and Definitions' - mahsa


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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide2

REFERENCE BOOKS

1. WA 900 D184 1991

Daniel, Wayne W.

Biostatistics: A Foundation for Analysis in the Health Sciences

2. WA 950 D272 2004

Dawson, Beth Trapp, Robert G.

Basic & Clinical Biostatistics

Lange Medical Books/ McGrow-Hill NewYork 2004

3. WA 950 G545 2002

Glantz, Stanton A.

Primer of Biostatistics

McGrow-Hill NewYork 2002

4. WA 950 A733 2002

Armitage, P.

Statistical Methods in Medical Research

Blackwell Science Oxford 2002

slide3

This course teaches the basic skills needed to critique the medical literature by providing a fundamental understanding of biostatistics.

Course Description

The primary purpose of this course is to teach you basic skills to critique the medical literature and need for statistical consultancy when designing, conducting and reporting a research. As future physicians you have an obligation to remain current in your field of practice and to treat patients according to generally accepted standards of care. To do this well you will need to read those journals that are considered the most important sources of new information impacting on your field of medicine.

slide4

For example, internal medicine physicians generally read the New England Journal of Medicine (NEJM) which is published by the Massachusetts Medical Society. Perhaps the most influential medical journal, its articles are widely reviewed by the media. Most surgeons read the Annals of Surgery. In short, each field of medicine has its own specialty journals.

As your patients hear media reports about the latest research results, they will most certainly ask for your opinion:

Should adult patients take antioxidants to help prevent heart disease?

Do the potential benefits of hormonal replacement in postmenopausal women outweigh the potential risks?

statistics and biostatistics

STATISTICS and BIOSTATISTICS

  • Planning Research
  • Collecting Data
  • Describing Data
  • Summarizing- Presenting Data
  • Analyzing Data
  • InterpretingResults
  • Reaching decisions or
  • discovering new knowledge

Statistics is the art and science of data. It deals with

slide6

Biostatisitcs is the application of statistical methods to health sciences.

  • Basic tasks of statistics
  • To describe
  • To draw inferences concerning the underlying population
slide7

Classification

Descriptive statistics:

These are devices for organizing data and may be: (i) tabular (ii) graphical (iii) numerical

Inferential statistics:

Much of the statistical investigations are carried on samples. Conclusions about the population are thus drawn from the observations carried out on these samples. Statistical methods which are used for making inferences about the population are based on probability theory and are called inferential statistics.

slide8

Data: Set of values of one or more variables recorded on one or more observational units.

Observation (case): Individual source of data.

Variable:This is a quantity which varies such that it may take any one of a specified set of values. It may be measurable or non-measurable.

Population:A collection, or set, of individuals, objects, or measurements whose properties are to be analyzed.

Sample:A subset of the population, selected in such a way that it is representative of the larger population.

slide9

Parameter :A summary value which in some way characterizes the nature of the population in the variable under study.

Statistic :A summary value calculated from a sample of observation.

slide10

Data

  • Sources of data
  • Routinely kept records
  • Published data sources
  • Data on electronic media
  • Surveys and Experimental research
  • Census
  • Generated or artificial data
slide11

Types of Data

  • Qualitative Data
  • Results from a variable that asks for a quality type of description of the subject.
  • Quantitative Data
  • Results from obtaining quantities-counts or measurements.
why should medical students learn biostatistics
Why should medical students learn biostatistics?
  • Medicine is becoming increasingly QUANTITATIVE.
    • The aim is to improve the Health Status of the population.
    • We have to clarify the relationships between certain factors and diseases.
    • Enumarate the occurances of diseases
    • Explain the etiology of diseases (which factors cause which diseases)
    • Predict the number of disease occurence
    • Read, understand and criticize the medical literature.
slide15

Why should medical students learn biostatistics?

  • The planning, conduct and interpretation of much of medical research are becoming increasingly reliant on statistical methods.
slide16

Planning:

How many patients must be treated?

How do we have to allocate the subjects to treatments?

What are the other factors which may influence the response variable?

Conduct:

Under which conditions must the study be conducted?

Is matching necessary?

Is blinding (single blinding or double blinding) necessary?

Is there a need for a control group?

Shoud the placebo effect be considered?

Which experimental design technique is more appropriate?

slide18

Example 2

Risk Ratio= R

R=

The risk of CHD is 2.45 times higher among obese subjects.

In a follow up study 609 males between ages of 40 to 76 free of coronary heart disease (CHD) were examined from 1990 to 1999. At the end of the period 71 new cases of CHD were identified. The primary goal of this study was to evaluate the association between obesity and the incidence of CHD. The results were as follows:

ad