2022-06-28-tan22a.md

abstract	booktitle	title	year	layout	series	publisher	issn	id	month	tex_title	firstpage	lastpage	page	order	cycles	bibtex_author	author	date	address	container-title	volume	genre	issued	pdf	extras
In neoadjuvant trials on early-stage breast cancer, patients are usually randomized into a control group and a treatment group with an additional target therapy. Early efficacy of the new regimen is assessed via the binary pathological complete response (pCR) and the eventual efficacy is assessed via long-term clinical outcomes such as survival. Although pCR is strongly associated with survival, it has not been confirmed as a surrogate endpoint. To fully understand its clinical implication, it is important to establish causal estimands such as the causal effect in survival for patients who would achieve pCR under the new regimen. Under the principal stratification framework, previous studies focus on sensitivity analyses by varying model parameters in an imposed model on counterfactual outcomes. Under mild assumptions, we propose an approach to estimate those model parameters using empirical data and subsequently the causal estimand of interest. We also extend our approach to address censored outcome data. The proposed method is applied to a recent clinical trial and its performance is evaluated via simulation studies.	First Conference on Causal Learning and Reasoning	Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response	2022	inproceedings	Proceedings of Machine Learning Research	PMLR	2640-3498	tan22a	0	Identifying Principal Stratum Causal Effects Conditional on a Post-treatment Intermediate Response	734	753	734-753	734	false	Tan, Xiaoqing and Abberbock, Judah and Rastogi, Priya and Tang, Gong	given family Xiaoqing Tan given family Judah Abberbock given family Priya Rastogi given family Gong Tang	2022-06-28		Proceedings of the First Conference on Causal Learning and Reasoning	177	inproceedings	date-parts 2022 6 28	https://proceedings.mlr.press/v177/tan22a/tan22a.pdf