M. D. Ayurved

In Nashik

Price on request
You can also call the Study Centre
25325... More

Important information

Typology Master
Location Nashik
  • Master
  • Nashik


Where and when

Starts Location
On request
Vani Road, Mhasrul, Nashik , 422004, Maharashtra, India
See map
Starts On request
Vani Road, Mhasrul, Nashik , 422004, Maharashtra, India
See map

Course programme

M. D. Ayurved

A) R esearch Methodology

A) R esearch Methodology
Marks 50
1) Aims and Objects for Research in Ayurved, Principles of Ancient ( Ayurvedic )
methods of research, Modern methods of research, Definitions of research,
Classification of research, Serendipity research, Motivation for research,
Terminology of research
2) Research problem, Search for problem for research, criteria for selection of
problem, Generation of hypotheses, Preparation of protocol, Research
designs in Ayurvedic research
3) Principles, Methods and Guidelines for
a) Literary research
b) Fundamental research
c) Drug research
d) Clinical research
a) Literary research
Concordance studies,
Critical, Comprehensive, Standard and Annotated Editions,
Cyclopedias, Evidence levels of Literary references, importance of prer
- review Journals, Anecdotal references, Expert opinions, Letters to
editors, paper, citation index medical databases Pubmel, Media, etc.
b) Fundamental and Qualitative research, Principles, Methods and
Guidelines, Research Designs
c) Drugs Research
Screening of drugs, Ethno medical methods, in vitro screening, in
- 2 -
vivo screening, in silico screening
Collection, authentication, and standardization of raw drugs in
process quality control (IPQC), finished goods
Identity, purity, and quality
Biological screening of drugs
Safety: acute, sub - acute, and chronic oral and parenteral
toxicity, aerosol toxicity, teratogenicity, mutagenicity,
carcinogenicity, local irritancy
Pharmacokinetics: absorption, metabolism, distribution and
Pharmacodynamics: models for different studies
d) Clinical research
Ethical aspects, IEC, definitions, Phases of clinical trials, criteria
for selection of patients, assessment criteria, randomization,
placebo, case studies, case series, cohort studies, case control
studies, meta - analysis, epidemiological surveys, blinding,
response variable, trial design, safety criteria, adverse drug
reactions (ADR), pharmacovigilance, clinical data management
4) Special techniques
a) Methods of survey of medicinal plants, field survey, botanical
identification of medicinal plants, traditional methods, taxonomical
methods, histological methods, preservation of medicinal plants
b) Epidemiological methods, prevalence and incidence, epidemiological
c) Radioisotopes,biological effects of radiation, types of radiation, units of
radiation measurement, instruments to measure radiation exposure,
isotopes used in medical research, diagnosis, and treatment,
applications in ayurvedic research, radio immuno assay (RIA)
d) Animal models for various studies
e) Imaging techniques, CT - scan, MRI etc.
f) Emerging techniques in bioinformatics, molecular biology etc.
5) Principles, application and instrumentaation of following instruments in
modern and Ayurvedic research:
- 3 -
a) Chromatography: paper, thin layer, HPTLC, HPLC, GC - MS
Colorimetry, spectrophotometry, UV - Visible, AAS and IRS
Electrophoresis, paper and PAGE
b) Instruments used in animal research like plathysmograph
c) Instruments used in clinical research, ECG, EEG
B) M edical Statistics
Marks 50
1) Introduction :
Application of Statistical methods to Ayurvedic research.
2) Sources and Presentation of Data
Qualitative (or discrete) data, Quantitative (or continuous data)
Methods of Presentation - Tabulation, Graphical, Diagram etc.
3) Measures of Location - Average and Percentiles
Measures of central tendency - Mean, Median, Mode, Measures of location
- percentiles, Graphic method, Arithmetical method, Application and uses of
4) Variability and Its Measures
Types, Biological, Real, Experimental, Measures of variability - Range,
Semi - interquartile range (Q), Mean deviation, Standard deviation (SD),
Coefficient of variation (CV) etc.
5) Normal Distribution and Normal Curve
Demonstration of a normal distribution, Normal curve, Standard normal
deviate (Z), Asymmetrical distributions.
6) Sampling
Representative sample, Precision (Sample size), Sample bias, Sampling
techniques, Simple random sampling. Systematic Stratified, Multistage,
Cluster, Multiphase etc.
7) Probability (Chance)
Addition law of probability, Multiplication law, Binomial probability
- 4 -
distribution, Probability chance from shape of normal distribution or normal
curve, etc.
8) Sampling Variability and Significance
Sampling distribution, Significance, Estimation of Population parameters etc.
9) Testing Statistical hypothesis
Types of hypothesis, Tests of significance, their indications, applicability,
advantages and limitations, calculation and interpretation - Z - test,
Student's " t " test - unpaired, paired, Variance ratio test (F test), Analysis of
variance test (ANOVA), Chi - square test, Willcoxon Sign Test and
Willcoxon Sum Test etc.
10) Concept of regression and co-relation and their interpretation.
11) Demography and Vital statistics
12) Designing and Methodology of an Experiment or a Study
Steps and methodology format for presentation of any research work.
13) Role of Computer

Students that were interested in this course also looked at...
See all