Reference values in medicine and validity of diagnostic test

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7. Developing high-performance prediction models for medical outcomes.

6. The conundrum of regression, correlation, association, and agreement.

5. Determining the size of sample for rigorous conclusions.

4. The riddle of confidence levels and the levels of significance in the era of artificial intelligence.

3. P values, power, and medical significance for credible results.

2. Types of data and data collation for efficient processing.

Trends in Child Health Indicators in India: Insights from National Family Health Survey (NFHS)-6.

Cardiac Autonomic Neuropathy in Children and Youth with Type 1 Diabetes: A Pilot Study.

Seroprotection Against Mumps in MMR Vaccinated Children Aged 9-12 Years: A Cross-Sectional Study.

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Clinical chemistry reference intervals in clinically validated healthy individuals: A large single-center study.

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Major discrepancy between clinical and autopsy diagnosis: a descriptive single-center analysis and its implications for the South African public health system.

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