Large deviation asymptotics for statistical treatment rules

2008 ◽  
Vol 101 (1) ◽  
pp. 53-56
Author(s):  
Taisuke Otsu
Keyword(s):  
Large Deviation ◽  
Statistical Treatment ◽  
Treatment Rules

Evaluating the maximum regret of statistical treatment rules with sample data on treatment response

2021 ◽  
Vol 21 (1) ◽  
pp. 97-122
Author(s):  
Valentyn Litvin ◽  
Charles F. Manski
Keyword(s):  
Treatment Response ◽  
Instrumental Variable ◽  
Statistical Treatment ◽  
Decision Makers ◽  
Sample Data ◽  
Data Generating Process ◽  
Study Population ◽  
Average Treatment Effects ◽  
Treatment Rules ◽  
Maximum Regret

In this article, we present the wald_tc command, which computes the maximum regret (MR) of a user-specified statistical treatment rule that uses sample data on realized treatment response (and optionally an instrumental variable) to determine a treatment choice for a population. Because the outcomes of counterfactual treatments are not observed and treatment selection in the study population may not be random, decision makers may be able only to partially identify average treatment effects. wald_tc allows users to compute the MR of a proposed statistical treatment rule under a flexible specification of the data-generating process and determines the state that generates MR.

The Software «MMI–calibration 3.0»

Metrologiya ◽  
2020 ◽  
pp. 16-24
Author(s):  
Alexandr D. Chikmarev
Keyword(s):  
Power Series ◽  
Data Processing ◽  
Statistical Treatment ◽  
Correction Function ◽  
Calibration Function ◽  
Measuring Instrument ◽  
Working Standard ◽  
Calibration Protocol ◽  
Error Probabilities ◽  
Continuous Power

A single program has been developed to ensure that the final result of the data processing of the measurement calibration protocol is obtained under normal conditions. The calibration result contains a calibration function or a correction function in the form of a continuous sedate series and a calibration chart based on typical additive error probabilities. Solved the problem of the statistical treatment of the calibration protocol measuring in normal conditions within a single program “MMI–calibration 3.0” that includes identification of the calibration function in a continuous power series of indications of a measuring instrument and chart calibration. An example of solving the problem of calibration of the thermometer by the working standard of the 3rd grade with the help of the “MMI-calibration 3.0” program.

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