Cited by 13Statistical Methods in Clinical TrialsStatistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Missing data in clinical trials: Pitfalls and remedies

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Kaushal, Sandeep·2014·International Journal of Applied and Basic Medical Research

Abstract

Clinical trials are a robust method to generate data to prove or disprove the hypothesis. One important issue after the enrolment of study subjects in a clinical trial is attrition and missing data due to any number of reasons. The missing data can be due to many factors like duration of trial (longer the trial, more risk of missing data), difficult to assess the outcome, type of intervention (surgical or medical), less adherence to study protocol (e.g. in psychiatric disorders), poor communication with study subjects (to explain about the study, procedures to be followed, follow-up schedule, poor response to patient queries), poor interpersonal relation with the study subject, etc.

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Authors
Kaushal, S.
Affiliations
Dayanand Medical College & Hospital (IN)
Corresponding author
Kaushal, Sandeep
Venue
International Journal of Applied and Basic Medical Research
Published
2014
Volume
4
Issue
3
Pages
6
ISSN
2229-516X (ISSN-L)
OpenAlex
W1672161521
Cited by
13
References
2
Citations by year
2026: 1 · 2025: 1 · 2023: 1 · 2022: 2 · 2021: 5 · 2020: 2 · 2016: 1
FWCI
0.35
Type
journal article
Language
en
Open access
Licence
cc-by-nc-sa
Locations
  • International Journal of Applied and Basic Medical Research (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
  • PubMed Central (publishedVersion, cc-by-nc-sa)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
missing data, clinical trials, attrition, dropout, protocol adherence, patient communication, trial duration, outcome measurement, missing data imputation

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