Analysis of Variance of Multiply Imputed Data

Ginkel, Joost R. van; Kroonenberg, Pieter M.

doi:10.1080/00273171.2013.855890

Cited by 135 publications

(104 citation statements)

References 30 publications

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“…While a common approach to dealing with missing data is deleting observations with missing values, and analyzing only those participants with a complete dataset, this listwise deletion approach is problematic for at least two reasons (Barzi and Woodward, 2004; van Ginkel and Kroonenberg, 2014). Firstly, it wastes data and reduces the power of analysis to determine an effect.…”

Section: Methodsmentioning

confidence: 99%

Major depressive disorder with melancholia displays robust alterations in resting state heart rate and its variability: implications for future morbidity and mortality

et al. 2014

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Background: Major depressive disorder (MDD) is associated with increased heart rate and reductions in its variability (heart rate variability, HRV) – markers of future morbidity and mortality – yet prior studies have reported contradictory effects. We hypothesized that increases in heart rate and reductions in HRV would be more robust in melancholia relative to controls, than in patients with non-melancholia.Methods: A total of 72 patients with a primary diagnosis of MDD (age M: 36.26, SE: 1.34; 42 females) and 94 controls (age M: 35.69, SE: 1.16; 52 females) were included in this study. Heart rate and measures of its variability (HRV) were calculated from two 2-min electrocardiogram recordings during resting state. Propensity score matching controlled imbalance on potential confounds between patients with melancholia (n = 40) and non-melancholia (n = 32) including age, gender, disorder severity, and comorbid anxiety disorders.Results: MDD patients with melancholia displayed significantly increased heart rate and lower resting-state HRV (including the square root of the mean squared differences between successive N–N intervals, the absolute power of high frequency and standard deviation of the Poincaré plot perpendicular to the line of identity measures of HRV) relative to controls, findings associated with a moderate effect size (Cohens d’s = 0.56–0.58). Patients with melancholia also displayed an increased heart rate relative to those with non-melancholia (Cohen’s d = 0.20).Conclusion: MDD patients with melancholia – but not non-melancholia – display robust increases in heart rate and decreases in HRV. These findings may underpin a variety of behavioral impairments in patients with melancholia including somatic symptoms, cognitive impairment, reduced responsiveness to the environment, and over the longer-term, morbidity and mortality.

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Section: Methodsmentioning

confidence: 99%

Major depressive disorder with melancholia displays robust alterations in resting state heart rate and its variability: implications for future morbidity and mortality

et al. 2014

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“…To prevent data from being biased due to attrition, missing values were handled using a multiple imputation procedure [32]. To include all participants in the analysis, missing posttreatment data were estimated 10 times to generate 10 data sets with imputed data.…”

Section: Methodsmentioning

confidence: 99%

A Randomized Controlled Trial in Routine Clinical Practice Comparing Acceptance and Commitment Therapy with Cognitive Behavioral Therapy for the Treatment of Major Depressive Disorder

A-Tjak

Morina

Topper

et al. 2018

Psychother Psychosom

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Background: Since current therapies for depression are effective but not for all patients alike, we need to further improve available treatments. Existing research suggests that acceptance and commitment therapy (ACT) may effectively treat major depressive disorder (MDD). We compared ACT with cognitive behavioral therapy (CBT) for depression, testing the hypothesis that CBT would outperform ACT. Methods: We conducted a randomized controlled trial with 82 patients suffering from MDD. Data were collected before and after treatment and at the 6-month follow-up, assessing diagnosis, symptom levels of depression, and quality of life. Results: After treatment, the rates of remission from depression were 75 and 80% for the ACT and CBT conditions, respectively. Patients in both conditions further reported significant and large reductions in depressive symptoms and improvement in quality of life from before to after treatment as well as at the follow-up. Our findings indicated no significant differences between the two intervention groups. Conclusion: Our results indicate that CBT is not more effective in treating depression than ACT. Further research is needed to investigate whether ACT and CBT work differently for different groups of patients with depression.

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“…In the third or pooling step, the results of these multiple analyses are combined to one pooled result. For significance tests based on z -or t-tests, combination rules have been defined in [8] and [8], but were only recently explicitly worked out for analysis of variance [28]. When no significance tests are desired, it is sufficient to simply average over the multiple values of a statistic derived from the multiply imputed data sets.…”

Section: Pooling the Results Of Three-mode Analysismentioning

confidence: 99%

Evaluation of multiple-imputation procedures for three-mode component models

Ginkel

Kroonenberg

2017

Journal of Statistical Computation and Simulation

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Three-mode analysis is a generalization of principal component analysis to three-mode data. While two-mode data consist of cases that are measured on several variables, three-mode data consist of cases that are measured on several variables at several occasions. As any other statistical technique, the results of three-mode analysis may be influenced by missing data. Three-mode software packages generally use the expectation-maximization (EM) algorithm for dealing with missing data. However, there are situations in which the EM algorithm is expected to break down. Alternatively, multiple imputation may be used for dealing with missing data. In this study we investigated the influence of eight different multiple-imputation methods on the results of three-mode analysis, more specifically, a Tucker2 analysis, and compared the results with those of the EM algorithm. Results of the simulations show that multilevel imputation with the mode with the most levels nested within cases and the mode with the least levels represented as variables gives the best results for a Tucker2 analysis. Thus, this may be a good alternative for the EM algorithm in handling missing data in a Tucker2 analysis. ARTICLE HISTORY

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Analysis of Variance of Multiply Imputed Data

Cited by 135 publications

References 30 publications

Major depressive disorder with melancholia displays robust alterations in resting state heart rate and its variability: implications for future morbidity and mortality

Major depressive disorder with melancholia displays robust alterations in resting state heart rate and its variability: implications for future morbidity and mortality

A Randomized Controlled Trial in Routine Clinical Practice Comparing Acceptance and Commitment Therapy with Cognitive Behavioral Therapy for the Treatment of Major Depressive Disorder

Evaluation of multiple-imputation procedures for three-mode component models

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