Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Rethinking historical controls.

S G Baker1, K S Lindeman

  • 1Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, EPN 344, 6130 Executive Blvd MSC 7354, Bethesda, MD 20892-7354, USA. sb16i@nih.gov

Biostatistics (Oxford, England)
|August 23, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Hereditary angio-oedema in the Western Cape Province, South Africa.

South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde·2018
Same author

Choledochotomy and primary repair of extrahepatic biliary duct rupture in seven dogs and two cats.

The Journal of small animal practice·2010
Same author

Comparison of four commercial devices to measure limb circumference in dogs.

Veterinary and comparative orthopaedics and traumatology : V.C.O.T·2010
Same author

Effect of bandaging on post-operative swelling after tibial plateau levelling osteotomy.

Veterinary and comparative orthopaedics and traumatology : V.C.O.T·2010
Same author

Good for women, good for men, bad for people: Simpson's paradox and the importance of sex-specific analysis in observational studies.

Journal of women's health & gender-based medicine·2001
Same author

The paired availability design for historical controls.

BMC medical research methodology·2001
Same journal

A Bayesian functional concurrent zero-inflated Dirichlet-multinomial regression model with application to infant microbiome.

Biostatistics (Oxford, England)·2026
Same journal

Towards optimal environmental policies: policy learning under arbitrary bipartite network interference.

Biostatistics (Oxford, England)·2026
Same journal

Multilevel functional quantile principal component analysis.

Biostatistics (Oxford, England)·2026
Same journal

Adaptive transfer learning for time-to-event modeling with applications in disease risk assessment.

Biostatistics (Oxford, England)·2026
Same journal

High-dimensional test for one-sided hypotheses.

Biostatistics (Oxford, England)·2026
Same journal

NBSR: a Negative Binomial Softmax Regression model for microRNA-seq data analysis.

Biostatistics (Oxford, England)·2026
See all related articles

The paired availability design effectively reduces selection bias in medical research. This method, applied to epidural analgesia and Cesarean sections, showed results comparable to randomized trials, unlike concurrent controls.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Health Services Research

Background:

  • Traditional historical controls in clinical studies risk selection bias.
  • Baker and Lindeman (1994) introduced the paired availability design to mitigate this bias.

Purpose of the Study:

  • Generalize the paired availability design for varied availability types and multiple time periods.
  • Evaluate the effectiveness of the paired availability design in reducing selection bias.

Main Methods:

  • Applied the paired availability design to estimate epidural analgesia's effect on Cesarean section rates.
  • Compared paired availability design results with a meta-analysis of randomized trials and multivariate analysis of concurrent controls.

Main Results:

Related Experiment Videos

  • The paired availability approach yielded confidence intervals similar to randomized trials.
  • Confidence intervals from the paired availability approach differed significantly from multivariate analysis of concurrent controls.

Conclusions:

  • The paired availability design effectively reduces selection bias in clinical inference.
  • This methodology offers a valuable alternative for studies where randomized trials are not feasible.