Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls
Current Language EN
English English Türkçe Türkçe Español Español Português Português Pусский Pусский Filipino Filipino Tiếng Việt Tiếng Việt हिन्दी हिन्दी العربية العربية বাংলা বাংলা Deutsch Deutsch 中文 中文

Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls

Jonathan A C Sterne, Ian R White, John B Carlin, Michael Spratt, Patrick Royston, Michael G Kenward, Angela M Wood, James R Carpenter;Jonathan A C Sterne;Ian R White;John B Carlin;Michael Spratt;Patrick Royston;Michael G Kenward;Angela M Wood;James R Carpenter;
the bmj 2009 Vol. 338 pp. -
124
carpenter2009themultiple

Abstract

Most studies have some missing data. Jonathan Sterne and colleagues describe the appropriate use and reporting of the multiple imputation approach to dealing with them

Keywords

Access

DOI:
10.1136/bmj.b2393
URL:
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC271469...

Citation

ID: 270902
Ref Key: carpenter2009themultiple
Use this key to autocite in SciMatic or Thesis Manager

References

References

No Bibliography

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
270902
Unique Identifier:
10.1136/bmj.b2393
Network:
Scimatic Chain (ID: 481)
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet
Gas fees required in SCI Coins
Buy SCI

Saymatik Web3.0 Wallet

Google Play
App Store