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Sampling and Sample Size calculation for Medical Research
Sampling in medical research involves selecting a subset of individuals from a larger population to study. The sample size calculation is crucial for determining the number of participants needed to ensure statistical validity and reliable results. Factors such as the desired level of confidence, anticipated effect size, variability, and statistical power are considered to strike a balance between precision and practicality. Adequate sample size enhances the generalizability of findings and supports the robustness of research outcomes, providing a foundation for evidence-based medical practices.
About the Speaker
Dr. Amrut Swami
Associate Professor ,Community Medicine, Tantia Medical College, Rajasthan
Dr. Amrut Swami is an accomplished professional with a diverse background in medicine, law, and public health. Holding an MBBS from J Hospital, Mumbai, and MD, DNB in Community Medicine from TNMC, Mumbai, he further expanded his expertise by acquiring a DLL-LW from New Law College, Ahmednagar. Currently serving as an Associate Professor in Community Medicine at Zydus Medical College & Hospital, Dahod, Gujarat, Dr. Swami is recognized as an approved teacher of Community Medicine by MUHS Nashik.
Upcoming Case Discussions
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Acne: Disorders and Treatment Approaches
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Management of Postoperative Pain: Best Practices for GP’s
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Approach to Child with Status Epilepticus
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Diabetes and Stem Cells: What Does the Future Hold?
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Dr. Amrut Swami's Talks on Assimilate
- 5th-March-2024, TIME : 5:00PM - 6:00PM
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Sampling in medical research involves selecting a subset of individuals from a larger population to study. The sample size calculation is crucial for determining the number of participants needed to ensure statistical validity and reliable results. Factors such as the desired level of confidence, anticipated effect size, variability, and statistical power are considered to strike a balance between precision and practicality. Adequate sample size enhances the generalizability of findings and supports the robustness of research outcomes, providing a foundation for evidence-based medical practices.