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Updated: Feb 8, 2026

Engineering Platform and Experimental Protocol for Design and Evaluation of a Neurally-controlled Powered Transfemoral Prosthesis
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Is the matched extreme case-control design more powerful than the nested case-control design?

N C Støer1,2, A Salim3,4, K Bokenberger1

  • 11 Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Statistical Methods in Medical Research
|June 22, 2018
PubMed
Summary

Extreme case-control designs offer greater statistical power for time-to-event data analysis compared to traditional nested case-control methods. Sampling controls further in time enhances efficiency, as demonstrated in a dementia study identifying Apolipoprotein E as a risk factor.

Keywords:
Extreme case–controllogistic regressionmatched designpowerweighted likelihood

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Survival Analysis

Background:

  • Time-to-event data analysis commonly employs the nested case-control design, where controls are matched to cases at the time of the event.
  • An alternative, the extreme case-control design, samples controls at a single, pre-specified time point, potentially yielding long-term survivors as controls.

Purpose of the Study:

  • To investigate the potential information gain and compare the statistical power of 'extreme' case-control designs against the standard nested case-control design.
  • To evaluate the efficiency of extreme case-control designs based on the timing of control sampling.

Main Methods:

  • Simulation studies were conducted to compare the power of various extreme case-control designs with the nested case-control design.
  • A theoretical expression for average information in nested and extreme case-control pairs was derived for a single binary exposure.
  • An application to a dementia study was performed using a 1:1 extreme case-control design.

Main Results:

  • The efficiency of the extreme case-control design was found to increase as controls were sampled further out in time.
  • The extreme case-control design demonstrated greater power and provided a hazard ratio estimate with a smaller standard error compared to a nested case-control design.
  • Apolipoprotein E was identified as a risk factor for dementia using the 1:1 extreme case-control design.

Conclusions:

  • Extreme case-control designs, particularly when controls are sampled further from the event time, offer a more informative and powerful alternative to nested case-control designs for time-to-event data.
  • The findings suggest that extreme case-control designs can enhance the identification of risk factors and improve the precision of effect estimates in epidemiological studies.