The BMJ

Causal inference is hard, and advanced statistical analysis is not enough

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
University of Bristol

4 Ideas of statistical inference

Confidence intervals are computed from a random sample and therefore they are also random. The long run behavior of a 95% confidence interval is such that we’d expect 95% of the confidence intervals ...
JSTOR Daily

Errata: Bootstrap Statistical Inference: Examples and Evaluations for Political Science

The American Journal of Political Science (AJPS), published four times each year, is one of the most widely-read political science journals in the United States. AJPS is a general journal of political ...
CU Boulder News & Events

DTSA 5003 Statistical Inference and Hypothesis Testing in Data Science Applications

Successful completion of this course demonstrate your achievement of the following learning outcomes for the MS-DS program: Define a composite hypothesis and the level of significance for a test with ...
lse

Statistical Inference: Principles, Methods and Computation

This course is compulsory on the MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research), MSc in Statistics (Research), MSc in Statistics ...
lse

Probability, Distribution Theory and Inference

This course is compulsory on the BSc in Actuarial Science and BSc in Financial Mathematics and Statistics. This course is available on the BSc in Business Mathematics and Statistics, BSc in ...