Model Checking in Survival Parametric Models (Comprehensive Guide)

Is Kaplan Meier the answer in EVERY survival analysis?Actually no!Parametric models assume a particular mathematical formula for how survival times are distributed. This explanation focuses on tools called

Read More

How Biostatistics is Shaping the Future of Data Management in Contract Research Organizations

In the dynamic landscape of pharmaceutical research, Contract Research Organizations (CROs) are finding an invaluable ally in biostatistics. This scientific field, which applies statistical methods to biological data,

Read More

From Data Gaps to Solid Conclusions: A Deep Dive into Missing Data Imputation Techniques

Missing data is a common problem in research. It can occur for a variety of reasons, such as incomplete surveys, dropouts from clinical trials, or errors in data

Read More

Separating Fact from Fiction: Common Misconceptions About P-values in Public Health and Clinical Research

Introduction: In biostatistics, a p-value is a measure of the probability of obtaining a result at least as extreme as the one observed, assuming that the null hypothesis

Read More

Why null hypothesis significance testing (NHST) can be an unhealthy perspective for statistical testing in clinical research

Introduction:Statistical tests and their misinterpretation have been a topic of concern for decades, with some scientific journals even banning their use in research. Despite this, statistical methods remain

Read More