P-Values and Power in Orthopedic Research: Myths and Reality

The results of statistical tests in orthopedic studies are typically reported using P-values. If a P-value is smaller than the pre-determined level of significance (eg, < .05), the null hypothesis is rejected in support of the alternative. This automaticity in interpreting statistical results without consideration of the power of the study has been denounced over the years by statisticians, since it can potentially lead to misinterpretation of the study conclusions. In this paper, we review fundamental misconceptions and misinterpretations of P-values and power, along with their connection with confidence intervals, and we provide guidelines to orthopedic researchers for evaluating and reporting study results. We provide real-world orthopedic examples to illustrate the main concepts. Please visit the following https://youtu.be/bdPU4luYmF0 for videos that explain the highlights of the paper in practical terms.     

Sample size re-estimation for clinical trials with longitudinal negative binomial counts including time trends

In some diseases, such as multiple sclerosis, lesion counts obtained from magnetic resonance imaging (MRI) are used as markers of disease progression. This leads to longitudinal, and typically overdispersed, count data outcomes in clinical trials. Models for such data invariably include a number of nuisance parameters, which can be difficult to specify at the planning stage, leading to considerable uncertainty in sample size specification. Consequently, blinded sample size re-estimation procedures are used, allowing for an adjustment of the sample size within an ongoing trial by estimating relevant nuisance parameters at an interim point, without compromising trial integrity. To date, the methods available for re-estimation have required an assumption that the mean count is time-constant within patients. We propose a new modeling approach that maintains the advantages of established procedures but allows for general underlying and treatment-specific time trends in the mean response. A simulation study is conducted to assess the effectiveness of blinded sample size re-estimation methods over fixed designs. Sample sizes attained through blinded sample size re-estimation procedures are shown to maintain the desired study power without inflating the Type I error rate and the procedure is demonstrated on MRI data from a recent study in multiple sclerosis.     

Impact of sampling rate on statistical significance for single subject fMRI connectivity analysis

A typical time series in functional magnetic resonance imaging (fMRI) exhibits autocorrelation, that is, the samples of the time series are dependent. In addition, temporal filtering, one of the crucial steps in preprocessing of functional magnetic resonance images, induces its own autocorrelation. While performing connectivity analysis in fMRI, the impact of the autocorrelation is largely ignored. Recently, autocorrelation has been addressed by variance correction approaches, which are sensitive to the sampling rate. In this article, we aim to investigate the impact of the sampling rate on the variance correction approaches. Toward this end, we first derived a generalized expression for the variance of the sample Pearson correlation coefficient (SPCC) in terms of the sampling rate and the filter cutoff frequency, in addition to the autocorrelation and cross‐covariance functions of the time series. Through simulations, we illustrated the importance of the variance correction for a fixed sampling rate. Using the real resting state fMRI data sets, we demonstrated that the data sets with higher sampling rates were more prone to false positives, in agreement with the existing empirical reports. We further demonstrated with single subject results that for the data sets with higher sampling rates, the variance correction strategy restored the integrity of true connectivity.     

存样食物在追查食物中毒源头中的作用

[目的]针对食物中毒事件追查源头的困难局面,探索1种新的食物中毒追查方法。[方法]通过分析各种常见类型食物中毒的潜伏期,结合各种实际情况,探讨存样食物保存的时间和方法。[结果]存样食物至少要保存24h。[结论]这种存样待检方法有其先进性,但仍存在不少问题,需进一步改进。     

新生儿出生信息样本分析

目的:了解和探讨新生儿出生信息的分布态势及规律。方法:对本院2006年1~6月间所有新生儿出生信息进行样本分析。结果:半年间分娩的新生儿共1075例,其中死亡19例,双胞胎15例,以1028例单胎活产新生儿的出生体重、胎龄及产妇年龄作为研究样本进行分析,统计数据与传统意义上的正常胎龄和新生儿体重基本相符,胎龄、体重均值均有所提高。结论:孕产妇的健康状况和新生儿的体质均有所改善,随胎龄的增加,新生儿出生体重亦随之增加,并且,目前新生儿的整体统计体重要大于现有的临床指标,因此,应对现有的临床指标进行适当调整,重新确定低出生体重儿和巨大儿的临床指标。     

Expressed emotion in children: associations with sibling relationships

Objective   To investigate the reliability and validity of the expressed emotion (EE) measure, the Pre-school Five Minute Speech Sample (PFMSS), in child-to-child sibling relationships.
Method   A total of 106 boys aged 7–11 were recruited from 12 mainstream primary schools in North Wales. The children completed the PFMSS regarding their sibling and two self-report measures of sibling relationship: the Sibling Relationship Questionnaire (SRQ) and a Child Visual Analogue Scale (CVAS). The parents of 60 participants completed the Strengths and Difficulties Questionnaire regarding the behavioural problems of the participating child and his younger sibling.
Results   The PFMSS demonstrated good inter-rater and code–recode reliability. The significant associations between EE dimensions such as relationship, positive comments and critical comments with various components of the SRQ and CVAS provided support for the concurrent validity of the PFMSS. Significantly higher levels of Conflict and Rivalry and significantly lower levels of Warmth/Closeness on the SRQ were reported by children with high EE, demonstrating good discriminant validity for the PFMSS. There was no significant association between the child's EE profile and the behavioural difficulties of both siblings as reported by parents.
Conclusions   The study found that the PFMSS is a valid and reliable measure of child EE. Future research is needed to clarify the concurrent validity of the warmth and initial statement components of the measure as well as the association between EE dimensions and behaviour.     

The role of the nurse in active euthanasia and physician-assisted suicide

The researchers wanted to obtain insight into the cooperation between physicians and nurses with regard to active euthanasia and physician-assisted suicide (EAS). In study I a stratified random sample of 203 clinical specialists, 152 general practitioners (GPs) and 50 nursing home physicians (NHPs) participated. In study II a random sample of 521 GPs was drawn from the province of North Holland and a random sample of 521 GPs was drawn from the rest of the Netherlands. For study III all NHPs were approached. Data were collected by means of an interview in study I. In studies II and III an anonymous, postal questionnaire was used. Approximately half of the GPs did not consult with nurses about a patient's request for EAS, the intention to administer EAS, and the actual administration. In 5% of cases, the NHPs and the specialists did not consult with nurses concerning these aspects. The GPs and NHPs indicated in 4% and 3% of the cases, respectively, that nurses administered the lethal drug(s) to the patients; the corresponding figure for the specialists was 21%. Almost all GPs and NHPs and about three-quarters of the specialists thought that nurses should never be allowed to administer EAS.     

Development of sample handling procedures for foods under USDA's National Food and Nutrient Analysis Program

The National Food and Nutrient Analysis Program (NFNAP) was implemented in 1997 to update and improve the quality of food composition data maintained by the United States Department of Agriculture (USDA). NFNAP was designed to sample and analyze frequently consumed foods in the U.S. food supply using statistically rigorous sampling plans, established sample handling procedures, and qualified analytical laboratories. Methods for careful handling of food samples from acquisition to analysis were developed to ensure the integrity of the samples and subsequent generation of accurate nutrient values. The infrastructure of NFNAP, under which over 1500 foods have been sampled, mandates tested sample handling protocols for a wide variety of foods. The majority of these foods were categorized into several major areas: (1) frozen foods; (2) fresh produce and/or highly perishable foods requiring refrigeration; (3) fast foods and prepared foods; (4) shelf-stable foods; (5) specialized study and non-retail (point of production) foods; and (6) foods from remote areas (e.g. American Indian reservations). This paper describes the sample handling approaches, from the collection and receipt of the food items to the preparation of the analytical samples, with emphasis on the strategies developed for those foods. It provides a foundation for developing sample handling protocols of foods to be analyzed under NFNAP and for other researchers working on similar projects.