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How to Use pandas DataFrames in Python to Analyze and Manipulate Data

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...
British Journal of Ophthalmology

Assessment of tear and blood cytokines in chronic ocular graft-versus-host disease

Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...
Investopedia

Stepwise Regression Explained: Uses, Benefits, and Drawbacks

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
JSTOR Daily

Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...
The Lancet

Michele Heisler: a non-linear progressive

I have a very strong intuition preference”, says Michele Heisler, “which may drive you crazy, because I tend to be non-linear ...
lse

Regression and Generalised Linear Models

This course is available on the BSc in Actuarial Science, BSc in Actuarial Science (with a Placement Year), BSc in Data Science, BSc in Financial Mathematics and Statistics, BSc in Mathematics with ...
Wall Street Journal

Hang Seng Index HSI

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International stock ...