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Dr Venugopala Rao Manneni
Dr Venugopala Rao Manneni

Dr Venugopala Rao Manneni

Learner, Practitioner & Teacher

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Month: September 2022

Handling the bias and confounding in observational studies

September 22, 2022March 22, 2023
Venugopal Manneni
Causal Inferance

NEED Bias and confounding are common sources of error in observational studies that can undermine the validity of the results. Here are some strategies to handle bias and confounding in observational studies: Bias: a) Selection Bias: Selection bias can be

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Identifying bias and confounding in observational studies

September 22, 2022March 22, 2023
Venugopal Manneni
Causal Inferance

In observational studies, bias and confounding are important sources of error that can affect the validity of the results. Here are some ways to identify bias and confounding in an observational study: Bias: Bias occurs when the results of a

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About Me

 

A doctor in statistics from Osmania University, Venugopala Rao Manneni is an experienced data analyst who has over 15 years of work experience in a diverse areas of verticals such as manufacturing, service, media, telecom, retail, pharma and education. Prior to Juxt-Smart Mandate, he has worked with reputed organizations like TNS India (Kantar, WPP) and NFO MBL and served clients across UK, France and Asia Pacific region… read more

Recent Post

  • The Evolution of Analytics: From Hard-Coded Scripts to Conversational AI
  • Transforming Healthcare with Gen AI: Enhancing Efficiency and Patient Care
  • Harnessing Multi-Agent Systems for Innovations in Pharma and Healthcare
  • Unlocking the Future: How Multiagent Systems Mirror Human Intelligence Using Advanced AI Concepts
  • Generative AI Glossary

Stay in Touch

 

venugopal.manneni@gmail.com

www.linkedin.com/in/statsvenu

twitter.com/statsvenu

github.com/drstatsvenu

Dr Venugopala Rao Manneni
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