JMP Student Editionを使用しています。
プロペンシティスコアマッチングを利用したいため、フリーのアドオンソフトをダウンロードできたりしますか？
My name is Ono and I work as a senior tester in the JMP Japan division of SAS Institute Japan.
The next major version, JMP Pro 19, will add a new feature called the "Causal Treatment Platform." JMP Student Edition has all the functionality of JMP Pro. The platform will also enable propensity score matching. The platform will also enable one-to-one matching based on the greedy algorithm for nearest neighbor matching.
The Causal Treatment Effects platform estimates the average treatment effect (average causal effect) for a binary treatment variable using inverse probability weighting (IPW), regression adjustment, and doubly robust methods. It also supports IPW and propensity score regression analysis when the treatment variable is continuous.
The current version of JMP 18 (and JMP Pro 18) provides this functionality "as is," but I created an add-in about 11 years ago. This add-in also performs one-to-one matching based on the greedy algorithm of nearest neighbor matching (although it matches in an order sorted by random numbers). The download link and other information are provided in the PDF document below.
https://www.jmp.com/content/dam/jmp/documents/jp/support/propensityscore201412.pdf
This add-in is written in a language called JMP Scripting Language (JSL). JMP not only has a GUI, but also a scripting language, allowing programming.
Regarding propensity score matching, the following paper is well-known for its criticism:
URL: https://gking.harvard.edu/publications/why-propensity-scores-should-not-be-used-formatching
King, G. and Nielsen, R. (2019)
Why Propensity Scores Should Not Be Used for Matching
Political Analysis, 27(4), 435-454.
Publisher's Version Copy at https://tinyurl.com/y5b5yjxo
The manual that comes with installing the add-in also contains some criticism of propensity score matching.
