217 research outputs found
The Effectiveness of the Size Matters Handwriting Program
No full textAbstract
Date Presented 3/31/2017
With school-based occupational therapists reporting up to 75% of their caseload related to handwriting, the urgency to identify a proven and efficient instructional program is paramount. Effective, embeddable, measurable, easy, and fast, the Size Matters Handwriting Program promotes collaboration in the natural environment and the Workload model.
Primary Author and Speaker: Beverly Moskowitz
Additional Authors and Speakers: Beth Carswell, Jennifer Kitzmiller, Moira Bushell, Laura Neikrug, Chaya Gottesman
Contributing Authors: Beth Pfeiffer, Gillian Rai, Tammy Murray</jats:p
Sam Moskowitz: A Bibliography and Guide
No full textA comprehensive bibliography of the writings of Sam Moskowitz. Sam Moskowitz was a fixture in science fiction, from near the beginning to the present day. He was a fan, editor, author, historian, critic, WorldCon
organizer, and cheerleader for the science fiction field. He was a prolific author of books, articles and letters. His books are readily available in libraries or for sale. The same cannot be said of many of his articles, and
certainly not of his letters. Many of the articles and letters appeared in science fiction pulps and in fanzines. Some of the fanzines were quite professional in appearance, content and editing, and served a valuable service to science fiction scholarship in preserving much of the early history of science fiction. The writings of Sam Moskowitz are an important part of that historical archive. Eric Davin notes that "Sam Moskowitz saw himself as the science fictionhistorian of record." It is a good description. He researched and recorded
much about the beginnings of science fiction that remains the only resource available on a particular person or topic. An accurate scholarly judgment of the historical and critical output of Moskowitz remains to be done. This edition supercedes "Sam Moskowitz: A Preliminary Bibliography" (2009)
People, Preferences & Prices: Sequencing the Economic Genome of the Consumer Mind
No full textThis book explores a variety of topics that fall in the realm of psychological and behavioral economics. It demonstrates to the reader how to perform straightforward experiments in order to understand how people think about the economic aspects of their daily lives.
Behavioral economics is a 'hot new area' of economics and consumer psychology. This book provides a comprehensive guide on consumer research and the types of results required. These approaches are spreading further around the globe, thanks to the work of Dr. Howard Moskowitz, one of the authors of this book, and the incredible success of Selling Blue Elephants. In other words, the book is just slightly ahead of a sea change in consumer research, and may be one of the 'tipping points'. (Coincidentally, Malcolm Gladwell, the bestselling author, is a great admirer of Dr. Moskowitz)</jats:p
Intradiverticular bladder cancer: CT imaging features and their association with clinical outcomes
No full textOBJECTIVES: To evaluate if computed tomographic (CT) features of intradiverticular bladder cancer can predict clinical outcome.
METHODS: Retrospective study of 34 patients with intradiverticular bladder cancer. Two radiologists independently evaluated all CT exams.
RESULTS: CT tumor length and width were significantly associated with survival for both readers [hazard ratios (HRs) 1.31-1.62, P<.001-.043]. No other tumor features were significantly associated with survival. The interreader agreement for the assessment of CT features was fair to substantial (k=0.34-0.78, concordance correlation coefficient=0.56-0.66). There was no association between transurethral resection pathology stage and survival (HR 2.10, P=.21).
CONCLUSIONS: In patients with intradiverticular bladder cancer, the tumor length and width measured on the pretreatment CT predicted survival
Author Correction: Identifying genetic factors that contribute to the increased risk of congenital heart defects in infants with Down syndrome (Scientific Reports, (2020), 10, 1, (18051), 10.1038/s41598-020-74650-4)
No full text\ua9 2021, The Author(s).Ivan P. Moskowitz was omitted from the author list in the original version of this Article
Predicting Adverse Health Outcomes in Long-Term Survivors of a Childhood Cancer
No full textMore than 80% of children and young adults diagnosed with invasive cancer will survive five or more years beyond their cancer diagnosis. This population has an increased risk for serious illness- and treatment-related morbidity and premature mortality. A number of these adverse health outcomes, such as cardiovascular disease and some second primary neoplasms, either have modifiable risk factors or can be successfully treated if detected early. Absolute risk models that project a personalized risk of developing a health outcome can be useful in patient counseling, in designing intervention studies, in forming prevention strategies, and in deciding upon surveillance programs. Here, we review existing absolute risk prediction models that are directly applicable to survivors of a childhood cancer, discuss the concepts and interpretation of absolute risk models, and examine ways in which these models can be used applied in clinical practice and public health
Using Free-Response Receiver Operating Characteristic Curves to Assess the Accuracy of Machine Diagnosis of Cancer
No full textQuantifying and Comparing the Accuracy of Binary Biomarkers When Predicting a Failure Time Outcome
No full textThe positive and negative predictive value are standard measures used to quantify the predictive accuracy of binary biomarkers when the outcome being predicted is also binary. When the biomarkers are instead being used to predict a failure time outcome, there is no standard way of quantifying predictive accuracy. We propose a natural extension of the traditional predictive values to accommodate censored survival data. We discuss not only quantifying predictive accuracy using these extended predictive values, but also rigorously comparing the accuracy of two biomarkers in terms of their predictive values. Using a marginal regression framework, we describe how to estimate differences in predictive accuracy and how to test whether the observed difference is statistically significant.
Bland-Altman Plots for Evaluating Agreement Between Solid Tumor Measurements
No full textRationale and Objectives. Solid tumor measurements are regularly used in clinical trials of anticancer therapeutic agents and in clinical practice managing patients\u27 care. Consequently studies evaluating the reproducibility of solid tumor measurements are important as lack of reproducibility may directly affect patient management. The authors propose utilizing a modified Bland-Altman plot with a difference metric that lends itself naturally to this situation and facilitates interpretation. Materials and Methods. The modification to the Bland-Altman plot involves replacing the difference plotted on the vertical axis with the relative percent change (RC) between the two measurements. This quantity is the same one used in assessing tumor response to therapeutic agents and is very familiar to radiologists and clinicians working with cancer patients.The distribution of the RC is explored and revised equations for the limits of agreement (LoA) are presented. These methods are applied to positron emission tomography (PET) data studying two radiotracers. Results. The RC can be calculated separately for each lesion measured or at the patient level by summing over lesions within patient. In both cases, the distribution of the RC is highly skewed and is approximated by a negative shifted lognormal distribution. The standard equations for the 95% LoA assume the differences are approximately normally distributed and are not appropriate for the RC. Conclusions. The modified Bland-Altman plot with correctly calculated LoA can aid in evaluating agreement between solid tumor measurements
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