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In clinical research, few problems cause more hidden damage than confounding. It distorts treatment effects, creates false associations, and leads investigators to conclusions that are statistically valid, but scientifically wrong. What makes confounding especially dangerous is that it often remains invisible until long after the paper is published. Fortunately, you do not need advanced modeling to detect it. Many of the most powerful warning signs of confounding appear long

Just like flicking a light switch, OpenSimplify lets you illuminate your data in an instant, no steep learning curve, no buried code, just insights on demand.

Discover how OpenSimplify helps researchers go from raw data to publication-ready manuscripts, automatically generating tables, summaries, and literature comparisons to streamline the publishing process.

In the world of scientific publishing, getting from data to a polished manuscript is often a slow, manual, and error-prone process. Researchers spend hours cleaning tables, formatting statistics, and searching through existing literature to support their findings. But what if your manuscript could start building itself the moment your analysis ends? OpenSimplify is changing the game by automating one of the most tedious parts of research: translating raw results into clean &

Choosing the right tool can make or break your clinical research workflow. In this post, we compare the top five platforms for statistical analysis in healthcare, spotlighting OpenSimplify, a rising, no-code solution trusted by researchers for its speed, accuracy, and ease of use. From automated Table 1s to forest plots in minutes, discover why OpenSimplify is changing how modern clinical studies get done.

Clinical researchers today are under more pressure than ever to generate insights quickly, accurately, and at scale. But behind every breakthrough finding is a long list of tedious, time-consuming tasks that can drain resources and delay progress. At OpenSimplify, we’ve worked with researchers across hospitals, academic institutions, and CROs and the same five bottlenecks keep showing up. The good news? These can now be automated with no-code tools like OpenSimplify.