Understanding Medical Research

Statistics for the non-statistician
Part I: Different types of data need different statistical tests.
Part II: "Significant" relations and their pitfalls.

Series on Evaluation of Scientific Publications from Deutsches Ärzteblatt International the German Medical Association’s official international science journal—is a weekly, peer-reviewed, open-access online journal of clinical medicine and public health.

Part 1: Critical Appraisal of Scientific Articles Series

Part 2: Study Design in Medical Research

Part 3: Types of Study in Medical Research

Part 4: Confidence Interval or P-Value?

Part 5: Requirements and Assessment of Laboratory Tests

Part 6: Systematic Literature Reviews and Meta-Analyses

Part 7: Descriptive Statistics: The Specification of Statistical Measures and Their Presentation in Tables and Graphs

Part 8: Avoiding Bias in Observational Studies

Part 9: Interpreting Results in 2×2 Tables

Part 10: Judging a Plethora of p-Values: How to Contend With the Problem of Multiple Testing

Part 11: Data Analysis of Epidemiological Studies