Randomization Inference for Matched Pairs with Binary Outcomes

· 0 min read

Design-Based Inference and Sensitivity Analysis for Survey Sampling

· 27 min read · Surveys

In this note, we consider sampling from a finite population, without replacement and with unequal probabilities. We seek an estimate of the population mean of some characteristic.

Design-Based Inference and Sensitivity Analysis for Survey Sampling

Sensitivity Analysis for Matched Sets with One Treated Unit

· 31 min read · Causal Inference

Adjusting for observed factors does not elevate an observational study to the reliability of an experiment. P-values are not appropriate measures of the strength of evidence in an observational study. Instead, sensitivity analysis allows us to identify the magnitude of hidden biases that would be necessary to invalidate study conclusions. This leads to a strength-of-evidence metric appropriate for an observational study.

Sensitivity Analysis for Matched Sets with One Treated Unit

Sensitivity Analysis for Matched Pairs

· 45 min read · Causal Inference

Observational studies involve more uncertainty than randomized experiments. Sensitivity analysis offers an approach to quantifying this uncertainty.

Sensitivity Analysis for Matched Pairs