Process guide for inferential studies using healthcare data from routine clinical practice to evaluate causal effects of drugs (PRINCIPLED): considerations from the …

RJ Desai, SV Wang, SK Sreedhara, L Zabotka… - bmj, 2024 - bmj.com
This report proposes a stepwise process covering the range of considerations to
systematically consider key choices for study design and data analysis for non-interventional …

Protocols for Observational Studies: Methods and Open Problems

DS Small - arXiv preprint arXiv:2403.19807, 2024 - arxiv.org
For learning about the causal effect of a treatment, a randomized controlled trial (RCT) is
considered the gold standard. However, randomizing treatment is sometimes unethical or …

Methodological Approaches to Structural Change: Epidemiology and the Case for Reparations

JA Lawrence, J Shi, JL Jahn… - American journal of …, 2024 - academic.oup.com
Scholars, activists, and policymakers have long called for reparations–a process of repair
and restitution for harm and injustices done–to descendants of enslaved Africans in the US …

Emulating target trials of postexposure vaccines using observational data

C Boyer, M Lipsitch - American Journal of Epidemiology, 2024 - academic.oup.com
Postexposure vaccination has the potential to prevent or modify the course of clinical
disease among those exposed to a pathogen. However, due to logistical constraints …

De‐Mystifying the Clone‐Censor‐Weight Method for Causal Research Using Observational Data: A Primer for Cancer Researchers

CE Gaber, AA Ghazarian, PD Strassle… - Cancer …, 2024 - Wiley Online Library
Background Regulators and oncology healthcare providers are increasingly interested in
using observational studies of real‐world data (RWD) to complement clinical evidence from …

Defining and emulating target trials of the effects of postexposure vaccination using observational data

C Boyer, M Lipsitch - medrxiv, 2023 - medrxiv.org
Postexposure vaccination has the potential to prevent or modify the course of clinical
disease among those exposed to a pathogen. However, due to logistical constraints …

Regression trees for nonparametric diagnostics of sequential positivity violations in longitudinal causal inference

A Chatton, M Schomaker, MA Luque-Fernandez… - arXiv preprint arXiv …, 2024 - arxiv.org
Sequential positivity is often a necessary assumption for drawing causal inferences, such as
through marginal structural modeling. Unfortunately, verification of this assumption can be …

[图书][B] Optimizing treatment for tuberculosis infection and multidrug-resistant tuberculosis

N Winters - 2023 - search.proquest.com
Tuberculosis is one of the oldest documented infectious diseases and to this day remains a
substantial global health burden. An estimated one quarter of the global population is living …