Diploma in Health Statistics (DHS)

• Graduation in any discipline from any Recognized University having Mathematics or Statistics as one of the subjects at Higher Secondary (10+2) level.
• Age limit will Not more than 30 years. Relaxation for 5 years for SC/ST and 3 years for OBC candidates as per Govt. rules. For sponsored candidates, there is no age bar.
• Reservation for SC/ST/OBC (non-creamy layer) and Physically Handicapped candidates: As per Govt. of India rules. Preference will be given to the candidates having experience in the field of Statistics/ Health Statistics.

Course Objective: Development of skills with understanding of statistical methods and their applications in assessment research, administration and solution strategies pertaining to the problems of health and diseases in the community. The candidates being awarded the Diploma in Health Statistics are expected to have acquired capabilities to undertake survey & investigation of health problems; utilisation of official health records and vital statistics; providing essential statistical methodology for assessment and research in medical & health field and to assist of government/NGO led health care system etc.

Course Content:

Basic Statistical Methods Descriptive Statistics Definitions of terms like population, sample, random sample, variable etc., sources of Statistics, Methods of Data collection, compilation, tabulation and diagrammatic representation, Measures of central tendency, Measures of dispersion, moments, skewness and kurtosis, Correlation and Regression. Curve fitting for two variables by using Latest squares techniques. Time series analysis. Probability theory and Distributions Basic concepts; Fundamental theorems of probability; Mathematical expectations; Binomial, poison and normal probability distribution and their applications; Practical Exercises Based on Probability theory and Distributions Theory of Estimation and tests of significance Concepts of Sampling and estimation, confidence intervals; Concepts of Testing of hypothesis; Statistical tests based on Normal, Chi-square, t and F – distributions; Practical exercise based on theory of estimation, tests of significance, sample survey and design of experiments. Practical Exercise Based on Theory of Estimation and tests of significance Sample Survey and Design of experiments Basic Principles of sample surveys and Concept of standard error of an estimate; Estimation under various sampling techniques viz. Simple random sampling, stratified sampling, cluster sampling, multi-stage sampling; Survey Design of National Sample Surveys (NSS); NSS surveys on morbidity, medical care and other public health statistics; Basic principles of design of experiments & their application to medical experiments; Analysis of variance – one way and two way classification; Standard design, factorial experiments & analysis of data.