Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling
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Benefits from antidepressants: synthesis of 6-week patient-level outcomes from double-blind placebo-controlled randomized trials of fluoxetine and venlafaxineSuicidal thoughts and behavior with antidepressant treatment: reanalysis of the randomized placebo-controlled studies of fluoxetine and venlafaxineManipulating the Placebo Response in Experimental Pain by Altering Doctor's Performance StyleAntidepressant response trajectories and quantitative electroencephalography (QEEG) biomarkers in major depressive disorderPrevention of problem behavior through annual family check-ups in early childhood: intervention effects from home to early elementary school.Drug and alcohol trajectories among adults with schizophrenia: data from the CATIE study.Using latent outcome trajectory classes in causal inference.[Placebo response: in studies on pain and under other clinical conditions].Causal inference in longitudinal comparative effectiveness studies with repeated measures of a continuous intermediate variable.Trajectories of depression severity in clinical trials of duloxetine: insights into antidepressant and placebo responses.The heterogeneity of antipsychotic response in the treatment of schizophrenia.Effects of non-steroidal anti-inflammatory drug treatments on cognitive decline vary by phase of pre-clinical Alzheimer disease: findings from the randomized controlled Alzheimer's Disease Anti-inflammatory Prevention Trial.Addressing Methodologic Challenges and Minimizing Threats to Validity in Synthesizing Findings from Individual-Level Data Across Longitudinal Randomized Trials.A model of placebo response in antidepressant clinical trialsDoes the model of additive effect in placebo research still hold true? A narrative review.The placebo response in clinical trials: more questions than answers.Personalized cardiovascular medicine: concepts and methodological considerations.Improving study design for antidepressant effectiveness assessment.Early Symptom Trajectories as Predictors of Treatment Outcome for Citalopram Versus Placebo.Latent classes of nonresponders, rapid responders, and gradual responders in depressed outpatients receiving antidepressant medication and psychotherapy.Testing treatment effect in schizophrenia clinical trials with heavy patient dropout using latent class growth mixture models.Targeted use of growth mixture modeling: a learning perspective.Preventing Youth Internalizing Symptoms Through the Familias Unidas Intervention: Examining Variation in Response.Categorizing natural history trajectories of ambulatory function measured by the 6-minute walk distance in patients with Duchenne muscular dystrophy.Growth mixture modeling with non-normal distributions.Modelling Placebo Response via Infinite Mixtures.Growth modeling with nonignorable dropout: alternative analyses of the STAR*D antidepressant trial.A mixture model using likelihood-based and Bayesian approaches for identifying responders and non-responders in longitudinal clinical trials.CANMAT Guidelines commentary: where does the evidence come from, and how can we use it for our patients?Latent Class Survival Models Linked by Principal Stratification to Investigate Heterogenous Survival Subgroups Among Individuals With Early-Stage Kidney Cancer.Methods for assessing and controlling placebo effects.LATENT CLASS MODELING USING MATRIX COVARIATES WITH APPLICATION TO IDENTIFYING EARLY PLACEBO RESPONDERS BASED ON EEG SIGNALS.
P2860
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P2860
Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
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name
Estimating drug effects in the ...... using growth mixture modeling
@en
type
label
Estimating drug effects in the ...... using growth mixture modeling
@en
prefLabel
Estimating drug effects in the ...... using growth mixture modeling
@en
P2860
P356
P1476
Estimating drug effects in the ...... using growth mixture modeling
@en
P2093
Bengt Muthén
P2860
P304
P356
10.1002/SIM.3721
P407
P577
2009-11-01T00:00:00Z