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What science has gotten so shamefully wrong about women, and the fight, by both female and male scientists, to rewrite what we thought we knew For hundreds of years it was common sense: women were the inferior sex. Their bodies were weaker, their minds feebler, their role subservient. No less a scientist than Charles Darwin asserted that women were at a lower stage of evolution, and for decades, scientists—most of them male, of course—claimed to find evidence to support this. Whether looking at intelligence or emotion, cognition or behavior, science has continued to tell us that men and women are fundamentally different. Biologists claim that women are better suited to raising families or are, more gently, uniquely empathetic. Men, on the other hand, continue to be described as excelling at tasks that require logic, spatial reasoning, and motor skills. But a huge wave of research is now revealing an alternative version of what we thought we knew. The new woman revealed by this scientific data is as strong, strategic, and smart as anyone else. In Inferior, acclaimed science writer Angela Saini weaves together a fascinating—and sorely necessary—new science of women. As Saini takes readers on a journey to uncover science’s failure to understand women, she finds that we’re still living with the legacy of an establishment that’s just beginning to recover from centuries of entrenched exclusion and prejudice. Sexist assumptions are stubbornly persistent: even in recent years, researchers have insisted that women are choosy and monogamous while men are naturally promiscuous, or that the way men’s and women’s brains are wired confirms long-discredited gender stereotypes. As Saini reveals, however, groundbreaking research is finally rediscovering women’s bodies and minds. Inferior investigates the gender wars in biology, psychology, and anthropology, and delves into cutting-edge scientific studies to uncover a fascinating new portrait of women’s brains, bodies, and role in human evolution.
Biology is where many of science's most exciting and relevant advances are taking place. Yet, many students leave school without having learned basic biology principles, and few are excited enough to continue in the sciences. Why is biology education failing? How can reform be accomplished? This book presents information and expert views from curriculum developers, teachers, and others, offering suggestions about major issues in biology education: what should we teach in biology and how should it be taught? How can we measure results? How should teachers be educated and certified? What obstacles are blocking reform?
This collection uses spatial concepts and examples to examine the nature and development of sporting practices. It shows how the study of built environments such as gymnasiums and football stadiums can provide unique information about the body.
Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.