Statistical methods for causal inference when the assumption of experimental treatment assignment is violatedBembom, Oliver
&1 Statistical and Causal Inference 进入之前,先明确一句话,被广大因果学习的教科书供奉的一句话,“correlation does not imply causation” 关联性不代表因果性,现实生活中很多矛盾都是不够理解这句话导致的,比如一些迷之调查(流浪猫与男女比例,巧克力销量与诺贝尔奖得主人数),比如一些封建迷信等等,都是由于无法理解...
By 1971 the wheels were beginning to fall off the bus, but we hadn’t reached the current state of affairs, under which social ills are considered to be either impossible to solve or else addressable only by implausible methods (whether that be retraining people by teaching them all to “le...
A Bayesian inference framework improves RNA velocity estimates to make them more coherent and biologically interpretable. Pengzhi Zhang Guangyu Wang News & Views31 Oct 2024Nature Methods Volume: 21, P: 2231-2232 Single-cell expression profiling has its roots in in situ techniques ...
where others have asked similar questions using similar methods gets interpreted as a sort of insurance against failing. I remember as a grad student learning that one technique for rebutting critical reviews on a paper you submitted is to find cases where the venue had published other papers that...
Are Currently Available Statistical Methods Adequate for Long-Term Studies?Within the range of approaches available for investigating long-term phenomena, it is found that those which may be suitable for large spatial and long temporal scales often have the least potential for causal inference, while...
Stat Methods Appl 32, 1141–1166 (2023). https://doi.org/10.1007/s10260-022-00679-6 Download citation Accepted05 November 2022 Published23 January 2023 Issue DateOctober 2023 DOIhttps://doi.org/10.1007/s10260-022-00679-6 Keywords Networks Causal inference Community detection A/B testing...
1990. "Formal Mode of Statistical Inference for Causal Effects." Journal of Statistical Planning and Inference 25 (3): 279-292.Rubin, D. B., (1990), "Formal Modes of Statistical Inference for Causal Effects,"J ournal of Statistical Planning and Inference, 25, 279-292....
If frequentist methods were always compatible with the LP then we would have a large constituency of people who agreed on how to evaluate statistical inference procedures. Perhaps they would be right, and if so we could pack up and go home. In fact, it is possible for the two options to...
1. Causal inference has been a powerful technique to infer the treatment effect on an outcome and played an essential role in medical researches [1]. However, in observational studies, non-random t...