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Statistics for Doctors: Confidence Intervals

Year: 2025

Type: article

Abstract: Confidence intervals (CIs) are an important statistical tool that helps estimate the range in which a true population value is likely to fall. This paper explains what CIs are, how they work, and their role in medical and life sciences research. Using examples like blood pressure measurements, treatment success rates, and survival times, we show how CIs provide a clearer picture than single-value estimates. We also explore how sample size and standard error affect the width of CIs, with larger samples leading to more precise estimates. Additionally, we discuss the use of CIs in studies such as drug comparisons, diagnostic tests, and regression models. This paper highlights how confidence intervals improve medical decision-making by helping researchers and doctors understand data more accurately and avoid misleading conclusions.

Source: Amrita Journal of Medicine

DOI: 10.4103/amjm.amjm_94_24

Authors: Malavika Krishnakumar, Meghalakshmi A. Ramachandran, Sreekar Dachepalli, Georg Gutjahr, Ravi Sankaran

Institutions: Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham

Language: English

Topic: Statistical Methods in Epidemiology

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W4409218699

FWCI: 2.614

Cites:

Cited by: 3

Related to: 10