Our latest Methods Primer by Frederick Ho breaks down the core principles of regression adjustment for causal inference. Learn when to adjust for a covariate and when not to, to get clearer insights! https://bit.ly/3VqpuZB

From public health crises to evaluating interventions, case studies offer invaluable insights into real-world phenomena. But how do we ensure quality & consistency? This new paper by @trishgreenhalgh.bsky.social explores issues in case study research. https://bit.ly/47PL01l

How effective are de-implementation strategies to reduce low value care? Aleksi Raudasoja and colleagues conducted a systematic review and meta analysis to find out. 🧵

How deeply do socioeconomic factors impact the start of life? New research by Victor Sartorius and colleagues sheds light on the magnitude and evolution of inequalities in neonatal mortality rates in France. Read the full study now: https://bit.ly/46t4UNk #Healthdisparities

Teen fitness ➡️ late-adult diabetes risk? Marcel Ballin and colleagues assess the association between adolescent cardiorespiratory fitness and risk of type 2 diabetes in late adulthood in their latest research. Read now: https://bit.ly/4m5BXxs

Why are some asthma patients readmitted more often? Research from Alexander Adamson and colleagues reveals that components of the adult asthma discharge bundle were associated with reduced readmission to hospital for asthma. Read the full Research article here: https://bit.ly/4lncI8A

A new systematic review by Aleksi Raudasoja and colleagues assesses the effectiveness of various de-implementation interventions in primary care, targeting care that provides limited or no value for patients. Read here now: https://bit.ly/460RRnl

📢 New research from Lena Marie Paschke and colleagues looks at prescriptions after a covid-19 infection compared with other acute respiratory infections in previously healthy patients and those with chronic disease Read the full research article here: https://bit.ly/4pdmD3K

In this new Methods Primer Emma Nichols and Eleanor Hayes-Larson review common challenges in the design and analysis of observational epidemiological studies of older adults and discuss potential approaches to reduce bias in future research Read here: https://bit.ly/42hXlrp