WELCOME

B Y

S A S N A . P. S

ROLE OF BIOSTATISTICS IN

MODERN RESEARCH

Through the slides......*Statistic and biostatistics

*Application of Biostatistics

-In Community medicine & public health

-In Cancer researches

-In Advanced biomedical technologies

-In Pharmacology

-In Ecology

-In Demography

-In Population genetics & statistical genetics

-In Bioinformatics

-In Systems biology

-In agriculture

-In genetics

-In physiology & anatomy

STATISTICS AND BIOSTATISTICS

Statistics

•collecting

• analysing

• interpreting and

• making inferences

Biostatistics/Biometry

•Application of statistics in biology

•Very useful in deigning of biological experiments

APPLICATIONS OF BIOSTATISTICS

1) COMMUNITY MEDICINE AND PUBLIC HEALTH

• Useful in determining if a treatment will work out or

not.

• To test usefulness of vaccines in epidemiological

studies.

• Medical research studies use Biostatistics from

beginning to end.

• To reach conclusions about diseases within certain

population groups .

• To determine development , progressive nature and

spread of a disease. I t predicts mortality rate,symptoms

and even the time of occurrence. Eg: Flu

• Another example is in case of development of polio

vaccine.

• Randomization—Paul Meier---experimental and

standard treatment comparison----calculate

efficiency of treatment.

2) IN CANCER RESEARCHES

Cancer is not a one size fits all disease . So it is used to

identify how factors such as drug interaction , association

between 2 attributes (smoking & cancer) diet etc.

Examine traits of cancer and occurrences in various ages ,

genders , and racial groups to work on prevention.

Clinical trials—number based.

Make predictions about real effects of treatment.

Randomization and stratification techniques applied here

also.

3) IN ADVANCED BIOMEDICAL TECHNOLOGIES

Computer intensive biostatistical methods–

bootstrapping and resampling methods.

Micro arrays , next generation sequencers (for

genomics) , mass spectrometry (proteins)

The datas obtained from these method could be

analysed only with the help of biostatistical methods

(problem of multicolinearity)

Very difficult with classical statistical methods like

linear or logistic regression.

4) IN PHARMACOLOGY

• To find action of a drug.

• To compare actions of two different drugs and dosages

• To find relative potency of new drug .

5) IN ECOLOGY

Constructing biological pyramids/ecological

pyramids—calculation of total energy content in different

trophic levels.

Effects of climate change and other environmental

impacts on ecological communities.

6) IN DEMOGRAPHY

Used in estimating the attributes of population—sex ratio ,

birth rate , density etc.

Used in drawing growth curves of a population at a given

time .Eg: Logistic growth curve.

7) IN POPULATION GENETICS & STATISTICAL

GENETICS

Link variation in genotype with a variation in a phenotype.

Study distributions and changes in allele frequency as

population is subject to Natural selection , Genetic drift ,

mutation and gene flow.

Statistical genetics—development and application of

statistical methods for drawing inferences from genetic data.

Biological geneticist tend to collaborate with lab geneticists

, molecular biologists , clinicians , & bioinformaticians.

8) IN BIOINFORMATICS

In biological sequence analysis—assign function to

genes and proteins by the study of similarities between

the compared sequences.

9) IN SYSTEMS BIOLOGY

• In gene network inference or pathway analysis.

Systems biology is a biology based inter-disciplinary field

of study that focuses on complex interactions within

biological systems.

• It makes heavy use of mathematical and computational

models.

10) IN AGRICULTURE

* In crop improvement.

In agricultural works, the decision as to whether one

variety of crop is better than the other will be made on the

results of a carefully planned series of statistical

experiments.

11) IN GENETICS

Two important laws in genetics for example is largely

used in the field of genetics.

o Mendel's Laws

o Hardy- Weingberg equilibrium

12) IN PHYSIOLOGY AND ANATOMY

Limits of normal and healthy values in a population.

Differences between means and populations.

THANK YOU