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Statistical inference is a form of induction, and can be broadly defined as “learning from data”. The two dominant forms of statistical inference are “classical” (or “frequentist”) inference and Bayes...
Bayesian inference with latent variables.
Inference for Shared-Frailty Survival Models with Left-Truncated Data
stata duration analysis left-truncation likelihood function dynamic selection hazard rate unobserved heterogeneity twin data
2012/10/23
Shared-frailty survival models specify that systematic unobserved determinants of duration outcomes are identical within groups of individuals. We consider random-effects likelihood-based statistical ...
Inference with Imperfect Randomization: The Case of the Perry Preschool Program
multiple testing multiple outcomes randomized trial randomization tests imperfect randomization Perry Pre school Program program evaluation familywise error rate exact inference partial identification
2012/10/31
This paper considers the problem of making inferences about the effects of a program on multiple outcomes when the assignment of treatment status is imperfectly randomized. By imperfect randomization ...