Nested case-control data analysis using weighted conditional logistic regression in The Environmental Determinants of Diabetes in the Young (TEDDY) study: A novel approach

Details

• Alternative Title:
  Diabetes Metab Res Rev
• Personal Author:
  Lee, Hye-Seung ; Lynch, Kristian F. ; Krischer, Jeffrey P.
• Corporate Authors:
  TEDDY Study Group
• Description:
  Background:
  
  A nested case-control (NCC) design within a prospective cohort study can realize substantial benefits for biomarker studies. In this context, it is natural to consider the sample availability in the selection of controls to minimize data loss when implementing the design. However, this violates the randomness required for the selection, and it leads to biased analyses. An inverse probability weighting may improve the analysis, but the current approach using weighted Cox regression fails to maintain the benefits of NCC design.
  
  Methods:
  
  This paper introduces weighted conditional logistic regression. We illustrate our proposed analysis using data recently investigated in TEDDY. Considering the potential data loss, the TEDDY NCC design was moderately selective in its selection of controls. A data-driven simulation study was performed to present the bias correction when a non-random control selection was ignored in the analysis.
  
  Results:
  
  The TEDDY data analysis showed the standard analysis using conditional logistic regression estimated the parameter: −0.015 (−0.023, −0.007). The biased estimate using Cox regression was −0.011 (95% confidence interval: −0.019, −0.003). Weighted Cox regression estimated −0.013 (−0.026, 0.0004). The proposed weighted conditional logistic regression estimated −0.020 (−0.033, −0.007), showing a stronger negative effect size than the one using conditional logistic regression. The simulation study also showed that the standard estimate of β ignoring the non-random control selection tends to be greater than the true β (i.e., positive relative biases).
  
  Conclusion:
  
  Weighted conditional logistic regression can enhance the analysis by offering flexibility in the selection of controls, while maintaining the matching.
  
  
• Subjects:
  Article Inverse Probability Weighting Nested Case-control Design Prospective Cohort Study Selection Bias Weighted Conditional Logistic Regression
• Source:
  Diabetes Metab Res Rev. 36(1):e3204
• Pubmed ID:
  31322810
• Pubmed Central ID:
  PMC6952534
• Document Type:
  Journal Article
• Funding:
  U01 DK063836/DK/NIDDK NIH HHS/United States ; National Institute of Environmental Health Sciences (NIEHS)/ ; HHSN267200700014C/DK/NIDDK NIH HHS/United States ; U01 DK63790/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; Centers for Disease Control and Prevention (CDC)/ ; UC4 DK63829/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; UC4 DK95300/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; U01 DK063821/DK/NIDDK NIH HHS/United States ; U01 DK63861/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; UC4 DK063863/DK/NIDDK NIH HHS/United States ; UC4 DK63821/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; National Institute of Child Health and Human Development (NICHD)/ ; UL1 TR000064/TR/NCATS NIH HHS/United States ; UC4 DK63861/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; U01 DK063829/DK/NIDDK NIH HHS/United States ; U01 DK063865/DK/NIDDK NIH HHS/United States ; UC4 DK095300/DK/NIDDK NIH HHS/United States ; U01 DK63821/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; UC4 DK063861/DK/NIDDK NIH HHS/United States ; UC4 DK063829/DK/NIDDK NIH HHS/United States ; UC4 DK063821/DK/NIDDK NIH HHS/United States ; UC4 DK63836/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; UC4 DK117483/DK/NIDDK NIH HHS/United States ; UC4 DK063836/DK/NIDDK NIH HHS/United States ; UC4 DK112243/DK/NIDDK NIH HHS/United States ; UL1 TR001082/TR/NCATS NIH HHS/United States ; U01 DK063861/DK/NIDDK NIH HHS/United States ; Contract No. HHSN267200700014C/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; UC4 DK063865/DK/NIDDK NIH HHS/United States ; U01 DK63836/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; U01 DK063863/DK/NIDDK NIH HHS/United States ; U01 DK63863/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; U01 DK063790/DK/NIDDK NIH HHS/United States ; National Institute of Allergy and Infectious Diseases (NIAID)/ ; UC4 DK63863/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; UC4 DK106955/DK/NIDDK NIH HHS/United States ; U01 DK63829/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; UC4 DK100238/DK/NIDDK NIH HHS/United States ; JDRF/ ; U01 DK63865/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/ ; HHSN267200700014C/LM/NLM NIH HHS/United States ; UC4 DK63865/National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)/
• Volume:
  36
• Issue:
  1
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:0291ece7c752de375e3dde77041a6476aea3a02665ee7c99b0b554de1f58bf44
• Download URL:
  https://stacks.cdc.gov/view/cdc/84122/cdc_84122_DS1.pdf
• File Type:
  [PDF - 529.75 KB ]