Organization of Statistical Studies

1. ORGANIZATION OF
STATISTICAL STUDIES AND
ITS STAGES
Dakshita Bohra
Group – 410 C

2. INTRODUCTION
STATISTICAL STUDIES ARE
VITAL IN PUBLIC HEALTH,
PROVIDING A FOUNDATION
FOR EVIDENCE-BASED
DECISION-MAKING.
TODAY, WE EXPLORE THE
ORGANIZATION AND STAGES
OF STATISTICAL STUDIES.

3. DEFINITION OF
STATISTICAL STUDIES
•Statistical studies are systematic
investigations designed to collect,
analyze, interpret, and draw conclusions
from data.
•In public health, these studies play a
crucial role in generating insights for
policy and practice.

4. PURPOSE OF STATISTICAL
STUDIES
• Goals include understanding patterns, making
predictions, and informing decision-making in
public health.
• They help identify trends, forecast disease
outbreaks, and provide evidence for policy
formulation.
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5. TYPES OF STATISTICAL
STUDIES - OBSERVATIONAL
STUDIES
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•Observational studies involve observing subjects
in their natural environment without interference.
•Examples in public health include cross-sectional
studies and case-control studies.

6. TYPES OF STATISTICAL STUDIES
- EXPERIMENTAL STUDIES
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Experimental
studies involve
manipulating
variables to
observe the effect
on outcomes.
Examples in public
health include
randomized
controlled trials
(RCTs) and field
trials.

7. DATA COLLECTION & DATA
ANALYSIS
• Various methods, such as
surveys, interviews, and
observations, are
employed based on the
study design.
• Ensuring data accuracy
and reliability in public
health studies involves
rigorous training and
validation processes.
•Statistical techniques include
descriptive and inferential
statistics, regression analysis, etc.
•Examples in public health:
Epidemiological modeling, risk
factor analysis.
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8. CHALLENGES IN STATISTICAL
STUDIES
•Common challenges include issues related to
data quality, participant recruitment, and ethical
considerations.
•Strategies for addressing challenges involve
rigorous study planning, collaboration, and
continuous monitoring.
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9. THANK YOU