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Therapeutic Drug Monitoring (TDM) is the clinical practice of measuring specific drug levels in a patient's blood or body tissues to manage and optimize therapy. TDM is crucial for drugs with narrow therapeutic windows, like warfarin and phenytoin, where incorrect doses can lead to treatment failure or severe side effects. This monitoring ensures the dosage administered is within a safe and effective range. The factors affecting therapeutic drug monitoring include:Patient-Specific Factors:a.
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Assessing mediation in HIV intervention studies.

Felicia P Hardnett1, Sherri L Pals, Craig B Borkowf

  • 1Centers for Disease Control and Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of HIV/AIDS Prevention, Quantitative Sciences and Data Management Branch, Atlanta, USA. fhardnett@cdc.gov

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PubMed
Summary
This summary is machine-generated.

Asymmetric confidence limits (ACLs) offer a statistically powerful method for mediation analysis, identifying more mediating factors than traditional approaches. This technique provides effect sizes, enhancing intervention assessment.

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Area of Science:

  • Psychology
  • Biostatistics
  • Public Health

Background:

  • Mediation analysis assesses psychosocial constructs targeted by interventions for behavior change.
  • The causal steps method, a common mediation assessment approach, may lack statistical power.
  • Alternative methods include difference in coefficients and product of coefficients.

Purpose of the Study:

  • To describe three standard mediation assessment methods: causal steps, difference in coefficients, and product of coefficients.
  • To demonstrate the application of asymmetric confidence limits (ACLs) for mediation testing.
  • To compare ACLs with traditional methods using intervention trial data.

Main Methods:

  • Comparison of asymmetric confidence limits (ACLs) with causal steps and product of coefficients approaches.
  • Analysis of data from the Seropositive Urban Men's Intervention Trial.
  • Utilizing asymmetric confidence limits for mediation effect assessment.

Main Results:

  • ACL construction identified previously unrecognized mediating factors.
  • A marginally significant suppressor variable was detected, indicating unintended intervention effects.
  • ACLs proved more effective in uncovering mediation compared to traditional methods.

Conclusions:

  • Asymmetric confidence limits (ACLs) are preferred for mediation analysis due to superior statistical power.
  • ACLs provide informative results regardless of intervention significance on the outcome.
  • ACLs quantify the magnitude of mediating effects, offering more than a binary significance decision.