R code for propensity score analysis with multiple treatments

chapter6_part_1_estimate_generalized_propensity_score_for_multiple_treatment_versions.r | |
File Size: | 10 kb |
File Type: | r |

chapter6_part_2_obtain_iptw_and_check_balance_pairwise.r | |
File Size: | 4 kb |
File Type: | r |

chapter6_part_3_obtain_iptw_and_check_balance_with_twang_package.r | |
File Size: | 2 kb |
File Type: | r |

chapter6_part_4_obtain_mmws_and_check_balance.r | |
File Size: | 5 kb |
File Type: | r |

chapter6_part_5_estimate_the_average_treatment_effect_of_multiple_treatment_versions.r | |
File Size: | 2 kb |
File Type: | r |
Data for example propensity score analysis with multiple treatments

chapter6_example_sass_tfs_data_imputed.rdata | |
File Size: | 381 kb |
File Type: | rdata |

chapter6_generalized_propensity_score_estimation_results.rdata | |
File Size: | 68595 kb |
File Type: | rdata |

chapter6_dataset_with_mmws_weights.rdata | |
File Size: | 433 kb |
File Type: | rdata |
Related Research:
Leite, W. L., Aydin, B., & Gurel, S. (2019). A comparison of propensity score weighting methods for evaluating the effects of programs with multiple versions. Journal of Experimental Education, 87, pages 77-88. DOI: 10.1080/00220973.2017.1409179
Leite, W. L., Aydin, B., & Gurel, S. (2019). A comparison of propensity score weighting methods for evaluating the effects of programs with multiple versions. Journal of Experimental Education, 87, pages 77-88. DOI: 10.1080/00220973.2017.1409179
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