Statistical Adjustment Techniques

Statistical adjustment techniques are methods used to account for differences or biases in data to ensure accurate comparisons. They help isolate the true effects of variables by controlling for other influencing factors, such as age, gender, or socioeconomic status. For example, when comparing health outcomes between two groups, adjustments ensure that differences are not just due to age differences. These techniques improve the fairness and validity of research findings, making it possible to draw clearer conclusions from complex or imperfect data.