Having a fundamental understanding of these topics is crucial to get you started off on the right foot.
To interpret and use evidence based medicine, knowledge on research types and study designs, as well as the quality of evidence produced by research is important to prevent from misinformation or incorrect application into patient care.
Randomised control trials
Case control studies
Cohort studies
Cross-sectional studies
In research, biases occur when systematic errors are introduced into sampling or testing by selecting or encouraging one outcome or results over others.
Biases can occur at any phase of research, including study design or data collection, as well as in the process of data analysis and publication.
Knowing about and outlining potential sources of bias enables (1) articulating the rationale for and choosing an appropriate research design to meet the study aims, (2) planning a research designs that minimise biases, as well as (3) greater critical evaluation of the research findings and conclusions.
Recall bias, Transfer bias, Misclassification of exposure or outcome
Selection and sampling biases, Attrition bias, Measurement bias
Hawthorne effect,
Allocation bias, Ascertainment bias
Randomisation, Why randomise, Different techniques, Common errors
Intervention bias, Response bias, Spectrum bias
Sampling, Why important, Different techniques, Common errors
Analysis bias, Performance bias, Expectation bias, Expectancy bias
What are confounders, characteristics of counfounders, How to address
Ethics provide guidelines for the responsible conduct of research and good medical practice.
Knowledge of good research ethics will promote the aims of research in finding and disseminating knowledge and truth, avoiding errors and fabrication, promote values essential to collaborative work and accountability to the public.
Relevant topics include principles of autonomy, beneficence, non-maleficence, justice, the Belmont Report and boundaries between clinical practice and research.
Plagiarism
Boundaries between research and clinical practice
The Belmont Report
Clinical audit
Almost all medical research either on diagnostics, therapeutics or prognosis will use statistical analysis.
Knowledge about statistical terminologies and methods is important to be able to understand and analyse the design and conclusions of research.
Types of variables in statistics
Dependent and independent variables
Correlation, association, prediction, reliability, validity
Medical statistics made easy