Protocol: Machine learning for selecting moderators in meta-analysis: A systematic review of methods and their applications, and an evaluation using data on tutoring interventions.

Objectives This is the protocol for a Campbell systematic review. The objectives are as follows: The first objective is to find and describe machine and statistical learning (ML) methods designed for moderator meta-analysis. The second objective is to find and describe applications of such ML methods in moderator meta-analyses of health, medical, and social science interventions.

Conducting power analysis for meta-analysis with dependent effect sizes: Common guidelines and an introduction to the POMADE R package.

Sample size and statistical power are important factors to consider when planning a research synthesis. Power analysis methods have been developed for fixed effect or random effects models, but until recently these methods were limited to simple data structures with a single, independent effect per study. Recent work has provided power approximation formulas for meta-analyses involving studies with multiple, dependent effect size estimates, which are common in syntheses of social science research.

Morphological Assessment Features and their Relations to Reading: A Meta-Analytic Structural Equation Modeling Study.

Morphemes are the smallest meaningful unit of language (e.g., affixes, base words) that express grammatical and semantic information.

PROTOCOL: Abortion and mental health outcomes: A systematic review and meta-analysis.

This is a protocol for a systematic review and meta-analysis of research on mental health outcomes of abortion. Does abortion increase the risk of adverse mental health outcomes? That is the central question for this review. Our review aims to inform policy and practice by locating, critically appraising, and synthesizing empirical evidence on associations between abortion and subsequent mental health outcomes.

Biological sex disparity in survival outcomes following treatment for renal cell carcinoma: A systematic review and meta-analysis.

Introduction: Renal cell carcinoma (RCC), a type of kidney cancer has biological sex-based differences that play a role in cancer incidence. Specifically, the incidence of urinary system cancers in men is two times greater than in women, while the incidence of genital cancers is three times greater. There is conflicting epidemiologic and limited evidence in the literature to suggest apparent biological sex discrepancy.

Functional Family Therapy for families of youth (age 11-18) with behaviour problems: A systematic review and meta-analysis.

Background: Functional Family Therapy (FFT) is a short-term family-based intervention for youth with behaviour problems. FFT has been widely implemented in the USA and other high-income countries. It is often described as an evidence-based program with consistent, positive effects.

PROTOCOL: Assessment of outcome reporting bias in studies included in Campbell systematic reviews.

This is the protocol for a Campbell systematic review. The objectives are as follows: To identify methods used to assess the risk of outcome reporting bias (ORB) in studies included in recent Campbell systematic reviews of intervention effects. The review will answer the following questions: What proportion of recent Campbell reviews included assessment of ORB? How did recent reviews define levels of risk of ORB (what categories, labels, and definitions did they use)? To what extent and how did these reviews use study protocols as sources of data on ORB? To what extent and how did reviews document reasons for judgments about risk of ORB? To what extent and how did reviews assess the inter-rater reliability of ORB ratings? To what extent and how were issues of ORB considered in the review's abstract, plain language summary, and conclusions?

Systematic review and meta-analysis of changes in quality of life following initiation of buprenorphine for opioid use disorder.

Background: People with opioid use disorder (OUD) experience lower quality of life (QoL) than the general population, but buprenorphine treatment for OUD could help improve QoL of individuals with OUD. Thus, we conducted a systematic review and meta-analysis of the impact of buprenorphine on QoL among people with OUD.

Methods: Seven databases were searched through August 2020.

On the bias of complete- and shifting-case meta-regressions with missing covariates.

Missing covariates is a common issue when fitting meta-regression models. Standard practice for handling missing covariates tends to involve one of two approaches. In a complete-case analysis, effect sizes for which relevant covariates are missing are omitted from model estimation.

Exploratory Analyses for Missing Data in Meta-Analyses and Meta-Regression: A Tutorial.

Objectives: In this tutorial, we examine methods for exploring missingness in a dataset in ways that can help to identify the sources and extent of missingness, as well as clarify gaps in evidence.

Methods: Using raw data from a meta-analysis of substance abuse interventions, we demonstrate the use of exploratory missingness analysis (EMA) including techniques for numerical summaries and visual displays of missing data.

Results: These techniques examine the patterns of missing covariates in meta-analysis data and the relationships among variables with missing data and observed variables including the effect size.

Methodological issues in meta-analyzing standard deviations: Comment on Bond and DePaulo (2008).

In this comment on C. F. Bond and B.

The asthma belief survey: development and testing.

Accurate evaluation of asthma self-efficacy is essential to the effective management of asthma. This article describes the development and testing of the Asthma Belief Survey (ABS). The instrument is a 15-item tool that uses a 5-point self-report scale to measure asthma self-efficacy in relation to daily asthma maintenance and an asthma crisis.

The power of statistical tests for moderators in meta-analysis.

Calculation of the statistical power of statistical tests is important in planning and interpreting the results of research studies, including meta-analyses. It is particularly important in moderator analyses in meta-analysis, which are often used as sensitivity analyses to rule out moderator effects but also may have low statistical power. This article describes how to compute statistical power of both fixed- and mixed-effects moderator tests in meta-analysis that are analogous to the analysis of variance and multiple regression analysis for effect sizes.

The effects of a school-based intervention on the self-care and health of African-American inner-city children with asthma.

Asthma is a chronic illness that affects 5% to 10% or about 5 million children in this country. Morbidity and rising mortality rates are of particular concern in minority children. This study addresses a serious knowledge deficit about the management of asthma in minority children by testing the effect of a school-based asthma education program on psychosocial and health outcomes of 8-13-year-old inner-city minority students.