Craig H. Mallinckrodt

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Using standard missing data taxonomy, due to Rubin and co-workers, and simple algebraic derivations, it is argued that some simple but commonly used methods to handle incomplete longitudinal clinical trial data, such as complete case analyses and methods based on last observation carried forward, require restrictive assumptions and stand on a weaker(More)
BACKGROUND While emotional symptoms such as depressed mood and loss of interest have traditionally been considered to constitute the core symptoms of major depressive disorder (MDD), the prevalence and importance of painful physical symptoms such as back pain, abdominal pain, and musculoskeletal pain is becoming increasingly appreciated. Antidepressants(More)
OBJECTIVE The goal of a non-inferiority study is to test whether a new treatment has at least as much efficacy as an established treatment. The purpose of this non-inferiority study was to compare the speed of onset of antidepressant efficacy for duloxetine (a dual serotonin and norepinephrine reuptake inhibitor) and escitalopram (a selective serotonin(More)
In the analyses of incomplete longitudinal clinical trial data, there has been a shift, away from simple methods that are valid only if the data are missing completely at random, to more principled ignorable analyses, which are valid under the less restrictive missing at random assumption. The availability of the necessary standard statistical software(More)
CONTEXT Major depressive disorder causes significant morbidity and mortality. Current therapies fail to fully treat both emotional and physical symptoms of major depressive disorder. OBJECTIVE To evaluate duloxetine, a dual reuptake inhibitor of serotonin and norepinephrine, on improvement of emotional and painful physical symptoms. DESIGN Randomized,(More)
Treatment effects are often evaluated by comparing change over time in outcome measures. However, valid analyses of longitudinal data can be problematic when subjects discontinue (dropout) prior to completing the study. This study assessed the merits of likelihood-based repeated measures analyses (MMRM) compared with fixed-effects analysis of variance where(More)
OBJECTIVE To examine the safety and tolerability of the antidepressant duloxetine across multiple studies for major depressive disorder (MDD). METHOD Safety data were integrated from the acute phases of eight double-blind, placebo-controlled trials in which patients were randomized to duloxetine (40-120 mg/d; n = 1139) or placebo (n = 777) for up to 9(More)
BACKGROUND Duloxetine is a balanced and potent dual reuptake inhibitor of serotonin (5-HT) and norepinephrine (NE) that has previously been shown to be effective in the acute treatment of major depressive disorder (MDD). This placebo-controlled study assesses the safety and efficacy of duloxetine (80 or 120 mg/day) and paroxetine (20 mg QD) during an(More)
OBJECTIVE This analysis assessed the incidence, severity, onset, and duration of nausea among patients with major depressive disorder (MDD) treated with the new antidepressant duloxetine. METHODS Data were pooled from 8 double-blind, randomized, placebo- and active comparator-controlled trials employing patients with MDD that were submitted to the US Food(More)
Treatment effects are often evaluated by comparing change over time in outcome measures; however, valid analyses of longitudinal data can be problematic, particularly if some data are missing. For decades, the last observation carried forward (LOCF) approach has been a common method of handling missing data. Considerable advances in statistical methodology(More)