Objective To systematically identify and validate published colorectal cancer risk prediction models that do not require invasive testing in two large population-based prospective cohorts. Design ...

Objective To quantify the association between physical activity and risk of SARS-CoV-2 infection, COVID-19-associated hospitalisation, severe illness and death due to COVID-19 in adults. Design A ...

Objective To estimate the global prevalence of meeting the WHO guidelines for both aerobic and muscle-strengthening activities (MSA) in populations aged ≥5 years, and whenever possible to explore this ...

StatsPAI is for empirical researchers who would normally jump between Stata, R, and Python. Its goal is to make common Stata/R econometrics and causal-inference workflows feel native in Python: load a ...

Objectives The optimal method of identifying people with asthma from electronic health records in primary care is not known. The aim of this study is to determine the positive predictive value (PPV) ...

wbopendata provides Stata users with programmatic access to the World Bank's Open Data API, enabling scripted, reproducible downloads of over 29,000 indicators from 71 databases covering 296 countries ...

1 Monash Centre for Health Research and Implementation (MCHRI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia 2 Diabetes and Endocrinology Unit, Monash ...

We implemented a hs‐cTnI (high‐sensitivity cardiac troponin I)‐based algorithm for emergency department (ED) evaluation of possible non‐ST–segment‐elevation acute coronary syndrome within an ...

案例1--【因果推断混音带--书籍案例】从ddtiming到bacon分解，多期DID前沿案例1、Bacon分解 Bacon分解表示采用Goodman-Bacon(2021)的DID估计量分解法来考察双向固定效应下多时点双重差分估计的偏误程度。 基于Goodman-Bacon （2018）， bacondecomp实现了对差分中差分（DD）估计的 ...

dPICANet, Child Health Outcomes Research at Leeds (CHORAL), Leeds Institute for Data Analytics, School of Medicine, University of Leeds, Leeds, UK ePaediatric Intensive Care Unit, Leeds Children's ...