Journal ArticleDOI
The use of multiple imputation for the analysis of missing data.
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TLDR
The idea behind MI, the advantages of MI over existing techniques for addressing missing data, how to do MI for real problems, the software available to implement MI, and the results of a simulation study aimed at finding out how assumptions regarding the imputation model affect the parameter estimates provided by MI are discussed.Abstract:
This article provides a comprehensive review of multiple imputation (MI), a technique for analyzing data sets with missing values. Formally, MI is the process of replacing each missing data point with a set of m > 1 plausible values to generate m complete data sets. These complete data sets are then analyzed by standard statistical software, and the results combined, to give parameter estimates and standard errors that take into account the uncertainty due to the missing data values. This article introduces the idea behind MI, discusses the advantages of MI over existing techniques for addressing missing data, describes how to do MI for real problems, reviews the software available to implement MI, and discusses the results of a simulation study aimed at finding out how assumptions regarding the imputation model affect the parameter estimates provided by MI.read more
Citations
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What to Build for Middle-Agers to Come? Attractive and Necessary Functions of Exercise-Promotion Mobile Phone Apps: A Cross-Sectional Study.
Gen-Yih Liao,Yu-Tai Chien,Yu-Jen Chen,Hsiao-Fang Hsiung,Hsiao-Jung Chen,Meng-Hua Hsieh,Wen-Jie Wu +6 more
TL;DR: This study is the first to propose middle-agers’ needs in relation to mobile phone exercise-promotion, and reveals that high MPSE more likely induces attractive or one- dimensional categorization, suggesting the importance of technological self-efficacy on eHealth care promotion.
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Cognitive remediation therapy (CRT) as a pretreatment intervention for adolescents with anorexia nervosa during medical hospitalization: a pilot randomized controlled trial protocol
C. Alix Timko,C. Alix Timko,Tiffanie Goulazian,Kathleen Kara Fitzpatrick,Daniel A. Rodriguez +4 more
TL;DR: It is hypothesized that adding CRT with parent involvement to a standard hospital stay is feasible, acceptable by patients and staff, and may improve treatment outcomes post-hospitalization, and a larger controlled trial fully powered to examine the secondary goals is proposed.
Journal ArticleDOI
Do sleep disturbances in depressed adolescents improve following psychological treatment for depression
TL;DR: Tentative results suggest that psychological treatments for depression reduced sleep problems for some participants, however, young people with treatment-resistant sleep problems may benefit from adjunctive sleep interventions.
Journal ArticleDOI
Recent developments in life and social science applications of capture–recapture methods
TL;DR: The capture-and-recapture methods have experienced important developments over the last 20 years in particular in their applications in the life and social sciences as discussed by the authors, and a recent conference entitled Recent Developments in Capture-Recapture Methods and their Applications was held in 2007 at The University of Reading.
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Pre-diagnostic derivatives of reactive oxygen metabolites and the occurrence of lung, colorectal, breast and prostate cancer: An individual participant data meta-analysis of two large population-based studies.
Xīn Gào,Xīn Gào,Tom Wilsgaard,Eugène H.J.M. Jansen,Bernd Holleczek,Yan Zhang,Yang Xuan,Yang Xuan,Ankita Anusruti,Ankita Anusruti,Hermann Brenner,Ben Schöttker,Ben Schöttker +12 more
TL;DR: In this article, a meta-analysis of two large population-based cohort studies with repeated reactive oxygen metabolites (d-ROM) measurements yielded evidence for an involvement of high oxidative stress in carcinogenesis.
References
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Journal ArticleDOI
Maximum likelihood from incomplete data via the EM algorithm
Book
Statistical Analysis with Missing Data
TL;DR: This work states that maximum Likelihood for General Patterns of Missing Data: Introduction and Theory with Ignorable Nonresponse and large-Sample Inference Based on Maximum Likelihood Estimates is likely to be high.
Book
Bayesian Data Analysis
TL;DR: Detailed notes on Bayesian Computation Basics of Markov Chain Simulation, Regression Models, and Asymptotic Theorems are provided.
Book
Multiple imputation for nonresponse in surveys
TL;DR: In this article, a survey of drinking behavior among men of retirement age was conducted and the results showed that the majority of the participants reported that they did not receive any benefits from the Social Security Administration.
Book
Analysis of Incomplete Multivariate Data
TL;DR: The Normal Model Methods for Categorical Data Loglinear Models Methods for Mixed Data and Inference by Data Augmentation Methods for Normal Data provide insights into the construction of categorical and mixed data models.