It involves selection of appropriate statistical techniques to address questions of medical relevance; select and apply appropriate statistical techniques for managing common types of medical data; use various software packages for statistical analysis and data management; interpret the results of statistical analyses and critically evaluate the use of statistics in the medical literature; communicate effectively with statisticians and the wider medical community, in writing and orally through presentation of results of statistical analyses; explore current and anticipated developments in medical statistics.
At the end of the course the student should be able to understand:
STATISTICS
Define Statistics, Population, sample Descriptive and inferential Statistics, Observations,
Data, Discrete and continuous variables, Errors of measurement, Significant digits,
Rounding of a Number, Collection of primary and secondary data, Sources, Editing of
Data. Exercises.
PRESENTATION OF DATA
Introduction, basic principles of classification and Tabulation, Constructing of a frequency
distribution, Relative and Cumulative frequency distribution, Diagrams, Graphs and their
Construction, Bar charts, Pie chart, Histogram, Frequency polygon and Frequency curve,
Cumulative Frequency Polygon or Ogive, Historigram, Ogive for Discrete Variable. Types
of frequency curves. Exercises.
MEASURES OF CENTRAL TENDENCY
Explain Different types of Averages, Quantiles, The Mode, Empirical Relation between
Mean, Median and mode, Relative Merits and Demerits of various Averages. Properties of
Good Average, Box and Whisker Plot, Stem and Leaf Display, definition of outliers and
their detection. Exercises.
MEASURES OF DISPERSION
Describe Absolute and relative measures, Range, The semi-Inter-quartile Range, The Mean
Deviation, The Variance and standard deviation, Change of origin and scale, Interpretation
of the standard Deviation, Coefficient of variation, Properties of variance and standard
Deviation, Standardized variables, Moments and Moments ratios. Exercises.
PROBABILITY AND PROBABILITY DISTRIBUTIONS
Define Discrete And Continuous Distributions: Binomial, Poisson And Normal
Distribution. Exercises.
SAMPLING AND SAMPLING DISTRIBUTIONS
Describe sample design and sampling frame, bias, sampling and non-sampling errors,
sampling with and without replacement, probability and non-probability sampling,
Sampling distributions for single mean and proportion, Difference of means and
proportions. Exercises.
Discuss necessary concepts of statistics to enable them to realize a research project in the field of Physiotherapy
Explain Fundamentals of reading and understanding research methods, design, and statistics.
Biostatistics by Wayne W. Daniel; Chad L. Cross
Call Number: 519.5 DAN
ISBN: 9781118302798
Publication Date: 2013-01-09
Biostatistical analysis by Zar, Jerrold H.
Call Number: 570.15195 ZAR
ISBN: 9789332536678
Publication Date: 2016