Identification of effect modifiers using a stratified Mendelian randomization algorithmic framework.

Mendelian randomization (MR) is a technique which uses genetic data to uncover causal relationships between variables. With the growing availability of large-scale biobank data, there is increasing interest in elucidating nuances in these relationships using MR. Stratified MR techniques such as doubly-ranked MR (DRMR) and residual stratification MR have been developed to identify nonlinearity in causal relationships.

Global and regional causes of maternal deaths 2009-20: a WHO systematic analysis.

Background: Maternal mortality is not on track to meet Sustainable Development Goal (SDG) target 3.1 of a global maternal mortality ratio below 70 per 100 000 livebirths by 2030. Updated evidence on causes of death is needed to accelerate progress.

The traumatic childbirth experience of mothers after emergency cesarean section(EmCS) in China: a descriptive qualitative study.

Background: Emergency cesarean section (EmCS) is an effective means to save the lives of the mother and fetus. Women who undergo EmCS experience sudden physiological changes and high level of psychological stress response due to its complexity, risks, and urgency. They may consider their delivery as traumatic childbirth.

modelSSE: An R Package for Characterizing Infectious Disease Superspreading from Contact Tracing Data.

Infectious disease superspreading is a phenomenon where few primary cases generate unexpectedly large numbers of secondary cases. Superspreading, is frequently documented in epidemiology literature, and is considered a consequence of heterogeneity in transmission. Since understanding the risks of superspreading became a rising concern from both statistical modelling and public health aspects, the R package modelSSE provides comprehensive analytical tools to characterize transmission heterogeneity.

A whole-of-society approach to depression prevention during the global pandemic: Preliminary data from three large-scale trials.

Objective: Despite the prevalence of depressive disorders among youth, there is no health system model to address the prevention of these disorders.

Method: With the goal of creating effective, tolerable, and scalable interventions for the prevention of adolescent depression, we have fielded three randomized clinical trials, centered in health care delivery organizations that use a whole-of-society approach: (a) Path 2 Purpose ( = 664), comparing the Competent Adulthood Transition with Cognitive Behavioral, Humanistic, and Interpersonal Training (CATCH-IT; B. W.