Organization of Statistical Studies and its Stages.pptx

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Organization of Statistical Studies


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Organization of Statistical Studies and its Stages Dakshita Bohra Group – 410 C

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.

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.

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. 4

Types of Statistical Studies - Observational Studies 5 Observational studies involve observing subjects in their natural environment without interference. Examples in public health include cross-sectional studies and case-control studies.

Types of Statistical Studies - Experimental Studies 6 Experimental studies involve manipulating variables to observe the effect on outcomes. Examples in public health include randomized controlled trials (RCTs) and field trials.

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. 7

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. 8

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