Bio-statistics:
Regression and correlation: Linear
regressions, Method of least squares; correlation coefficients, rank
correlation, multiple regression tests of significance: testing hypotheses,
tests of significance based on normal distribution. T-test; significance of
correlation coefficient. F-test, Analysis of variance: 1-way, 2-way and 3-way
classification, Chi-square test of (i) Variance of a normal population (ii)
Goodness of fit, (iii) Independence in contingency tables.
Design
of experiment: Principles of
randomization, replication and local control, completely randomized block of
the above designs in pharmaceutical research, Statistical quality control,
process control, control charts, acceptance sampling – sampling plans.
High
throughput screening: introduction,
bioassay design, and screen construction-assay design, assay construction,
homogenous and non homogeneous biochemical assays and cellular assays.
1. Bioassay:
Different types: dose effect relationships, calculation of LD50, ED50 – Probit analysis.
2. In vivo
screening methods: Antihypertensive,
antiarrythmic, cardiotonic, and anticancer and diuretic drugs.
In vivo
screening methods: Analgesic, anti-inflammatory, antiepileptic,
antidiabetic, and antifertility drugs.