Propensity Score Matching in R

Propensity Score Matching in R

Propensity scores are an alternative method to estimate the effect of receiving treatment when random assignment of treatments to subjects is not feasible. The concept of Propensity score matching (PSM) was first introduced by Rosenbaum and Rubin (1983) in a paper...

Optimization Using R

Optimization is a technique for finding out the best possible solution for a given problem for all the possible solutions. Optimization uses a rigorous mathematical model to find out the most efficient solution to the given problem. What is optimization? Optimization...
A Solution to Missing Data: Imputation Using R

A Solution to Missing Data: Imputation Using R

Handling missing values is one of the worst nightmares a data analyst dreams of. In situations, a wise analyst ‘imputes’ the missing values instead of dropping them from the data. Missing Data in Analysis At times while working on data, one may come across missing...
Learn Generalized Linear Models (GLM) using R

Learn Generalized Linear Models (GLM) using R

In this article, we aim to discuss various GLMs that are widely used in the industry. We focus on: a) log-linear regression b) interpreting log-transformations and c) binary logistic regression. Editor’s note:Data files discussed below can be acquired here:...