Biostatistical Trends in Pediatrics: Implications for the Future

PEDIATRICS ◽  
1983 ◽  
Vol 72 (1) ◽  
pp. 84-87
Author(s):  
Gregory F. Hayden

All physicians face the challenge of keeping abreast with a body of medical knowledge that is growing at an exponential rate. On this account, physicians often spend countless hours each month reading journals to "keep current" with recently described techniques of diagnosis and therapy. To gain maximal benefit from their reading, physicians must be able to assess the scientific merit of published research. They must evaluate the various claims and conclusions and then decide which are valid and applicable to their own clinic settings. This type of critical insight requires familiarity with basic principles of good study design and with biostatistical logic and procedures. Unfortunately, recent studies have demonstrated that physicians' concepts regarding statistics are often inaccurate, and even more disturbing, that readers are often willing to draw conclusions unsupported by the available data.1,2 Some authorities have therefore recommended remedial statistical training for physicians by means of increased attention to statistical issues in biomedical journals. The question of exactly which statistical concepts and techniques need to be mastered, however, remains largely unanswered. On this account, I reviewed several volumes of Pediatrics to determine which statistical techniques have appeared regularly, and whether the frequency and intensity of statistical analysis have recently changed enough that a familiarity with biostatistics that was adequate a few years ago may no longer be sufficient. I surveyed the scientific reports in volumes 9 (1952),29 (1962), 49(1972), and 69 (1982). I excluded editorials, book reviews, correspondence, and the like, and I classified remaining articles as review articles, case reports, or research reports.

Author(s):  
Joseph A. Veech

There are many different design and statistical issues that a researcher should consider when developing the data collection protocol or when interpreting results from a habitat analysis. One of the first considerations is simply the area to include in the study. This depends on the behavior (particularly mobility) of the focal species and logistical constraints. The amount of area also relates to the number of survey locations (plots, transects, or other) and their spatial placement. Survey data often include many instances of a species absent from a spatial sampling unit. These could be true absences or might represent very low species detection probability. There are different statistical techniques for estimating detection probability as well as analyzing data with a substantial proportion of zero-abundance values. The spatial dispersion of the species within the overall study area or region is never random. Even apart from the effect of habitat, individuals are often aggregated due to various environmental factors or species traits. This can affect count data collected from survey plots. Related to spatial dispersion, the overall background density of the species within the study area can introduce particular challenges in identifying meaningful habitat associations. Statistical issues such as normality, multicollinearity, spatial and temporal autocorrelation may be relatively common and need to be addressed prior to an analysis. None of these design and statistical issues presents insurmountable challenges to a habitat analysis.


2020 ◽  
Vol 6 ◽  
pp. 30-34
Author(s):  
Aydar Kadyirov ◽  
Yulia Karaeva ◽  
Ekaterina Vachagina

Ultrasonic treatment of heavy crude oils has been proven to manage oil viscosity and temperature sensitivity. In continuation of the previously published research results (Energy Safety and Energy Economy, iss. 5, 2019), we found out basic principles to predict dynamics of crude oil viscosity depending on time, power, and frequency of ultrasonic treatment. Viscosity control is essential for crude oil not only after its ultrasonic treatment but also while transporting and storage to keep energy efficiency of the entire process at the desired level.


2016 ◽  
Vol 54 (2) ◽  
pp. 591-593

Rajshri Jayaraman of ESMT, Berlin reviews “An Economist in the Real World: The Art of Policymaking in India,” by Kaushik Basu. The Econlit abstract of this book begins: “Blending economic theory with personal experience, describes and analyzes the challenges of making economic policy in a setting where political considerations are considered primary, focusing on the economy of India as a lens through which to understand the basic principles of economics. Discusses India's growth story — stagnation, crisis, and takeoff; inflation — the emperor of economic maladies; fiscal and other macroeconomic policies for an emerging economy; globalization and the challenge of development; food and poverty; the nuts and bolts of the economy; law and economics; the social and organizational foundations of economic development; and the road ahead. Basu is Senior Vice President and Chief Economist at the World Bank and Professor of Economics and C. Marks Professor of International Studies at Cornell University.”


2016 ◽  
Vol 104 (2) ◽  
Author(s):  
Katherine G. Akers, PhD

Because they do not rank highly in the hierarchy of evidence and are not frequently cited, case reports describing the clinical circumstances of single patients are seldom published by medical journals. However, many clinicians argue that case reports have significant educational value, advance medical knowledge, and complement evidence-based medicine. Over the last several years, a vast number (~160) of new peer-reviewed journals have emerged that focus on publishing case reports. These journals are typically open access and have relatively high acceptance rates. However, approximately half of the publishers of case reports journals engage in questionable or ‘‘predatory’’ publishing practices. Authors of case reports may benefit from greater awareness of these new publication venues as well as an ability to discriminate between reputable and non-reputable journal publishers.


2020 ◽  
Vol 33 (3-4) ◽  
pp. 175-197 ◽  
Author(s):  
Michael J. Flexer

Forrester’s proposed seventh style of reasoning – thinking in cases – functions as an analogous, dyadic relationship that, whilst indebted philosophically to the logical reasoning and semiotics of Charles Peirce, is prone to creating feedback loops between induction and deduction, precluding novel abductive hypotheses from advancing medical knowledge. Reasoning with a Peircean triadic model opens up the contexts and methods of meaning-making and reasoning through medical cases, and the potent influence of their genre conventions, to intellectual critical scrutiny. Vitally, it offers a third mode – abduction – that this article argues needs to be reintroduced into Forrester’s model of reasoning with cases. This article demonstrates this by applying a Peircean triadic model of reasoning to Forrester’s own model, tracing a shared genealogy but one in which the abductive element was lost. The article goes on to illustrate the explanatory and predictive potential of Peircean abductive reasoning and the necessary re-theorising of the case this entails. This argument is supported through an analysis of early case reports of what would become HIV/Aids, drawn from the Case Records of Massachusetts General Hospital series in the New England Journal of Medicine.


2021 ◽  
Author(s):  
Justine Dol ◽  
Marsha Campbell-Yeo ◽  
Cindy-Lee Dennis ◽  
Patricia Leahy Warren

UNSTRUCTURED Objective: The objective of this bibliometric analysis and mapping review is to describe the characteristics and trends in published research on anxiety and perinatal depression across the perinatal period from emergence to end of 2020. Introduction: There has been significant growth in the literature around depression and anxiety across the perinatal period over the past decades. To focus future research and identify gaps, it is important to explore current patterns and trends in the current literature. Inclusion criteria: All published literature with an English abstract on perinatal anxiety and depression as a primary or secondary outcome will be included up until December 31, 2020. Quantitative and qualitative studies will be eligible, with reviews, discussion papers, editorials, dissertations, conference abstracts, books/book chapters, book reviews, animal studies, and commentaries excluded. Methods: Titles and abstracts will be screened by two reviewers with disagreements resolved through discussion. Data will be extracted from only the abstracts by one reviewer with 20% verified by a second reviewer. Meta-data of the articles will also be extracted. A narrative summary will accompany the charted results and will describe how the results relate to the reviews objective. INTERNATIONAL REGISTERED REPORT RR2-https://doi.org/10.1101/2021.05.08.21256829


Sign in / Sign up

Export Citation Format

Share Document