MCS Center

Statistics for clinicians


Clinicians are concerned enough with “how to care for patients?” they ask why biostatistics, we are not mathematicians!! in the modern era; this is a real error of thinking. clinicians are attacked with new information daily. you should extract evidence yourself for scientific papers. but, without a basic understanding of statistics, it is impossible to critically read a scientific paper.


  1. Basic Concepts
    • Structure of a research article
    • Primary and Secondary research
    • Why statistics?
    • Population and samples
    • Parameter and statistic
  2. Types of DATA: Variables
    • Types of variables
    • Description of variables
    • Independent and Dependent variables
    • Factor and Outcome
  3. Have the authors set the scene correctly?
    • Study design
    • Have they determined whether their groups are comparable, and, if necessary, adjusted for baseline differences?
    • Was the study original?
    • Whom is the study about?
    • Was the design of the study sensible?
    • Was systematic bias avoided or minimized?
    • Was assessment “blind”?
    • Preliminary statistical questions; Sample size, Duration of follow up, Completeness of follow up
  4. RCTs
  5. Probability and confidence
    • Hypothesis testing
    • Confidence intervals
  6. Common Statistical Tests and Their Interpretation
    • Have they used appropriate statistical tests?
    • Paired data, tails, and outliers
    • Parametric vs. Nonparametric tests
    • Odds Ratio, Relative Risk
    • Correlation, regression, and causation
    • Multivariate analysis
  7. Papers that report diagnostic or screening tests
    • Validating tests against a gold standard
    • Agreement
    • ROC, cut-off values
  8. Systematic reviews and meta-analyses
16 hours
8 sessions

Course Rounds:

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