A modified random-effect procedure for combining risk difference in sets of 2×2 tables from clinical trials

Summary Meta-analyses of sets of clinical trials often combine risk differences from several 2×2 tables according to a random-effects model. The DerSimonian-Laird random-effects procedure, widely used for estimating the populaton mean risk difference, weights the risk difference from each primary study inversely proportional to an estimate of its variance (the sum of the between-study variance and the conditional within-study variance). Because those weights are not independent of the risk differences, however, the procedure sometimes exhibits bias and unnatural behavior. The present paper proposes a modified weighting scheme that uses the unconditional within-study variance to avoid this source of bias. The modified procedure has variance closer to that available from weighting by ideal weights when such weights are known. We studied the modified procedure in extensive simulation experiments using situations whose parameters resemble those of actual studies in medical research. For comparison we also included two unbiased procedures, the unweighted mean and a sample-size-weighted mean; their relative variability depends on the extent of heterogeneity among the primary studies. An example illustrates the application of the procedures to actual data and the differences among the results. This research was supported by Grant HS 05936 from the Agency for Health Care Policy and Research to Harvard University.     

How do I get my way? A meta-analytic review of research on influence tactics

Despite considerable research investigating the role of influence tactics on work-related outcomes in organizations, consensus on the effectiveness of influence tactics has been elusive. Specifically, there is a lack of integration concerning the relationships between proactive influence tactics and their outcomes. We investigate the effectiveness of 11 influence tactics from a comprehensive perspective using meta-analytic techniques. In particular, the current study focuses on relationships between each of the 11 influence tactics (i.e., rational persuasion, exchange, inspirational appeal, legitimating, apprising, pressure, collaboration, ingratiation, consultation, personal appeals, and coalition) and task- and relations-oriented outcomes. In addition, we investigate the moderating effects of the direction of influence tactics, measurement of influence tactics, singular influence tactic (versus use of a combination of influence tactics), independence of data sources, and study setting involved in the study. Regardless of task- and relations-oriented outcomes, based on 49 independent samples (N = 8987), our results show positive relationships between outcomes and rational persuasion, inspirational appeal, apprising, collaboration, ingratiation, consultation, and a negative relationship between pressure and outcomes. Rational persuasion is the only tactic which held stable positive relationships with both categories of outcomes regardless of moderating factors. Implications and directions for future research in the area of influence tactics are discussed.     

Intrapartum cardiotocograph monitoring and perinatal outcomes for women at risk: Literature review

ProblemCaesarean section rates have risen in high-income countries. One of the potential drivers for this is the widespread use of CTG monitoring.BackgroundIntrapartum cardiotocograph monitoring is considered to be indicated for women at risk for poor perinatal outcome.AimThis systematic literature review with meta-analysis examined randomised controlled trials and non-experimental research to determine whether cardiotocograph monitoring rather than intermittent auscultation during labour was associated with changes in perinatal mortality or cerebral palsy rates for high-risk women.MethodsA systematic search for research published up to 2019 was conducted using PubMed, CINAHL, Cochrane, and Web of Science databases. Non-experimental and randomised controlled trial research in populations of women at risk which compared intrapartum cardiotocography with intermittent auscultation and reported on stillbirth, neonatal mortality, perinatal mortality and/or cerebral palsy were included. Relative risks were calculated from extracted data, and meta-analysis of randomised controlled trials was undertaken.FindingsNine randomised controlled trials and 26 non-experimental studies were included. Meta-analysis of pooled data from RCTs in mixed- and high-risk populations found no statistically significant differences in perinatal mortality rates. The majority of non-experimental research was at critical risk of bias and should not be relied on to inform practice. Cardiotocograph monitoring during preterm labour was associated with a higher incidence of cerebral palsy.DiscussionResearch evidence failed to demonstrate perinatal benefits from intrapartum cardiotocograph monitoring for women at risk for poor perinatal outcome.ConclusionThere is an urgent need for well-designed research to consider whether intrapartum cardiotocograph monitoring provides benefits.     

A re-evaluation of random-effects meta-analysis

Summary.  Meta-analysis in the presence of unexplained heterogeneity is frequently undertaken by using a random-effects model, in which the effects underlying different studies are assumed to be drawn from a normal distribution. Here we discuss the justification and interpretation of such models, by addressing in turn the aims of estimation, prediction and hypothesis testing. A particular issue that we consider is the distinction between inference on the mean of the random-effects distribution and inference on the whole distribution. We suggest that random-effects meta-analyses as currently conducted often fail to provide the key results, and we investigate the extent to which distribution-free, classical and Bayesian approaches can provide satisfactory methods. We conclude that the Bayesian approach has the advantage of naturally allowing for full uncertainty, especially for prediction. However, it is not without problems, including computational intensity and sensitivity to a priori judgements. We propose a simple prediction interval for classical meta-analysis and offer extensions to standard practice of Bayesian meta-analysis, making use of an example of studies of 'set shifting' ability in people with eating disorders.     

A note on the score reliability for the Satisfaction With Life Scale: an RG study

The purpose of the present study was to meta-analytically investigate the score reliability for the Satisfaction With Life Scale. Four-hundred and sixteen articles using the measure were located through electronic database searches and then separated to identify studies which had calculated reliability estimates from their own data. Sixty-two articles met this criterion, providing 76 reliability coefficients. The articles comprising the sample were next coded to identify potential sample or test characteristics that might affect the variation in reliability estimates. Results indicate that score standard deviation, mean, percent female, US samples, English test version, and youth samples demonstrated significant relationships with score reliability. Results from this study provide useful information, in terms of scale performance, for researchers interested in using the measure for future academic endeavors.

Psychosocial Correlates of Interpersonal Sensitivity: A Meta-Analysis

This meta-analysis examines how interpersonal sensitivity (IS), defined as accurate judgment or recall of others’ behavior or appearance, is related to psychosocial characteristics of the perceiver, defined as personality traits, social and emotional functioning, life experiences, values, attitudes, and self-concept. For 215 independent studies reported in 96 published sources, higher IS was generally associated with favorable or adaptive psychosocial functioning. Significant mean correlations were found for 27 of the 40 categories of psychosocial variables; these categories covered many different personality traits, indicators of mental health, and social and work-related competencies. Moreover, many additional studies that fell outside these conceptual categories also showed significant positive relations between IS and numerous other psychosocial variables. Taken together, the results support the construct validity of IS tests and demonstrate that IS is associated with many important aspects of personal and social functioning.

Confidence intervals for treatment effect from restricted maximum likelihood

An explicit form of confidence intervals for the treatment effect in random effects meta-analysis model obtained from Harville–Jeske–Kenward–Roger approach is given. These restricted likelihood based intervals are compared to alternative procedures commonly used in collaborative studies when the number of participants is small and study-specific variances are heterogeneous. Monte Carlo simulation experiments show that the former intervals have quite conservative coverage probabilities and favor the latter intervals.     

知识视角下组织绩效影响因素的元分析与结构方程研究

国内外对知识分享、组织学习与组织绩效的关系已经做了相当程度的研究,然而国内尚缺乏系统的总结和评价.文章以2000至2013年间国内外研究文献为样本,以元分析与路径分析相结合的方法探讨知识分享、组织学习与组织绩效的关系.结果表明三者间效应值具有显著正相关,调节变量分析的结果表明文献来源区域是知识分享与组织绩效效应量间产生异质性的原因,在此基础上提出了相关启示.