Sambodhi
ImpactX 2024
It is essential to invest in assessment to provide robust evidence that can inform policy and programming decisions.
Data sets are weighted to increase their representation of the population they are intended to measure.
The meaning of the probability value (P-value) is a critical topic in statistics.
Effect size is an important statistical concept used extensively in assessing the size of an intervention.
Today, we are surrounded by data which has become a driving force for decision-making.
General linear models (GLM) go back to the late 18th century, but they were largely brought to life by Carl Friedrich Gauss.
Monitoring and evaluation are crucial and essential components for tracking a project's progress.
Quantile regression is a popular regression model used extensively to assess treatment heterogeneity.
Today, not just humans but also computers, mobile phones, and other technologies generate abundant data.
