Missing outcome data in randomised clinical trials of psychological ...

Missing outcome data can pose a serious threat to the validity of randomised clinical trial results. We aimed to study the extent of missing ...

Randomized trials with missing outcome data: how to analyze and ...

Irrespective of whether a study is a randomized trial or an observational follow-up, a major problem in both designs is patients who are lost to follow-up.

Addressing missing outcome data in randomised controlled trials

Background: Missing outcome data is common in trials, and robust methods to address this are needed. Most trial reports currently use methods applicable under a ...

Missing outcome data in meta-analysis | BMJ Mental Health

Missing outcome data is a common problem in mental health trials compromising the validity of results and leading to the loss of precision. The problem is ...

Missing data were poorly reported and handled in randomized ...

Missing data are common in randomized controlled trials (RCTs) involving repeatedly measured continuous outcomes. Evidence on the reporting and handling of ...

Allowing for uncertainty due to missing outcome data in meta-analysis

Missing outcome data are commonly encountered in clinical trials and may compromise the validity of the estimat ed treatment effects.

Addressing missing data in randomized clinical trials: A causal ...

Instead, missing outcome data in clinical trials should be considered as potentially non-random unobserved events (i.e. MNAR). Using simulated attrition data, ...

A four-step strategy for handling missing outcome data in ...

The coronavirus pandemic (Covid-19) presents a variety of challenges for ongoing clinical trials, including an inevitably higher rate of ...

Are missing outcome data adequately handled? A review of ...

Background Randomized controlled trials almost always have some individuals with missing outcomes. Inadequate handling of these missing data in the analysis ...

Dealing with missing outcome data in meta‐analysis - Mavridis - 2020

Missing outcome data are a common occurrence even in well-conducted randomized clinical trials (RCTs). They may compromise the validity of the ...

A general method for handling missing binary outcome data in ...

Aims: The analysis of randomized controlled trials with incomplete binary outcome data is challenging. We develop a general method for exploring the impact ...

Are missing outcome data adequately handled? A review of ...

Randomized controlled trials almost always have some individuals with missing outcomes. Inadequate handling of these missing data in the ...

The Prevention and Treatment of Missing Data in Clinical Trials

The assumption that data are missing completely at random presumes that outcomes for those who dropped out would be expected to be similar to ...

The current practice of handling and reporting missing outcome data ...

However, PROMs are susceptible to missing data, which can affect the validity of conclusions from randomised controlled trials (RCTs). This ...

Missing Outcome Data in a Naturalistic Psychodynamic Group ...

Jensen, H. , Mortensen, E. and Lotz, M. (2017) Missing Outcome Data in a Naturalistic Psychodynamic Group Therapy Study. Psychology, 8, 436-448. doi: 10.4236 ...

missing data methods in randomized controlled nutrition trials

Thus, missing outcomes can jeopardize the validity of randomization unless the missing values are missing completely at random (i.e., missingness is unrelated ...

(PDF) Addressing Missing Data in Randomized Clinical Trials

Instead, missing outcome data in clinical trials should be considered as potentially non-random unobserved events (i.e. MNAR). Using simulated attrition data ...

Reporting and handling missing outcome data in mental health: a ...

One hundred ninety systematic reviews were considered. Missing outcome data were present in at least one included study in 175 systematic ...

[PDF] Strategies for Dealing with Missing Data in Clinical Trials

This review aims to convey an appreciation for how missing data influences results and an understanding of the need for careful consideration of missing ...

Examining Characteristics, Outcomes, and Statistical Solutions for ...

Background: Missing cases following treatment are common in Web-based psychotherapy trials. Without the ability to directly measure and ...