A collaboration with statistician-science writers Regina Nuzzo and Kristin Sainani and funding from the Kavli Foundation enabled the Council for the Advancement of Science Writing to pilot-test a video mini-course, “Asking Questions About Data,” in the fall of 2022. Presenting case studies in a lively podcast-style debate format reinforced with problem sets that students could complete at their own pace, the two instructors showed journalists how to spot spin, fraud, and sloppy work and explain the strengths and weaknesses of new scientific results.
Whether you’re in a patient-facing role looking to implement research into your professional career or seeking how to better communicate and collaborate with colleagues working in the labs, this online clinical trials course gives you the tools you need to find answers for your health and medicine-related inquiries. Taught by Regina Nuzzo and Kristin Sainani.
With this online course, equip yourself to peer under the hood of modern statistical practices, preparing you for advanced studies in statistics, data science, and epidemiology, including the StanfordOnline Medical Statistics Program and the Clinical Trials course. Taught by Regina Nuzzo and Kristin Sainani.
Our working group was charged with advising NIH how it can help researchers improve the rigor, transparency, and reproducibility of NIH research involving animals, paying close attention to the late stages of the translational pipeline that produce new treatments for human health and disease. The overarching goal is to allow all stakeholders to have full confidence in the quality and applicability of research findings from animal studies and to ensure that animal subjects are used with appropriate consideration of ethics and harm–benefit analysis.
Opinion polls vary enormously in structure, style, and credibility, and are easy to mis- or overinterpret. At their best, opinion polls can give an accurate snapshot of broad public sentiment on an issue. But even well-constructed polls are not particularly good at measuring small shifts in opinions over time, and their ability to predict future voter choices is decidedly mixed. Among other confounders for voter polls, people often hold off before settling on a candidate—and even then they often change their minds. The following primer provides some essentials for accurate reporting on polls and surveys. Joint product of the American Statistical Association and AAAS's SciLine.