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Sample size calculation for randomized trials via inverse probability of response weighting when outcome data are missing at random

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2 Published in 2023 at "Statistics in Medicine"

DOI: 10.1002/sim.9700

Abstract: Randomized trials are an established method to evaluate the causal effects of interventions. Despite concerted efforts to retain all trial participants, some missing outcome data are often inevitable. It is unclear how best to account… read more here.

Keywords: outcome data; size; sample size; randomized trials ... See more keywords

Doubly robust estimation of the causal effects in the causal inference with missing outcome data

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1 Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-018-0957-2

Abstract: The goal of this article is to attempt to develop doubly robust (DR) estimator in the causal inference with ignorable missing outcome data. In the causal inference with missing outcome data, an estimator is doubly… read more here.

Keywords: outcome data; estimator; causal inference; missing outcome ... See more keywords

Collecting outcome data of a text messaging smoking cessation intervention with in-program text assessments: How reliable are the results?

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0 Published in 2018 at "Addictive behaviors"

DOI: 10.1016/j.addbeh.2018.05.012

Abstract: BACKGROUND Text messaging interventions have shown promise in helping people quit smoking. Texting programs periodically survey participants about their smoking status. This study examined the consistency of participant self-reported smoking between external surveys and internal… read more here.

Keywords: program text; outcome data; program; six months ... See more keywords

Remifentanil patient-controlled analgesia in labour: six-year audit of outcome data of the RemiPCA SAFE Network (2010-2015).

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1 Published in 2018 at "International journal of obstetric anesthesia"

DOI: 10.1016/j.ijoa.2018.12.004

Abstract: BACKGROUND The RemiPCA SAFE Network was established to set standards and monitor maternal and neonatal outcomes when using remifentanil for labour analgesia. The aim of this analysis was to describe the development of the network… read more here.

Keywords: network; outcome data; remipca safe; safe network ... See more keywords

A guidance was developed to identify participants with missing outcome data in randomized controlled trials.

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0 Published in 2019 at "Journal of clinical epidemiology"

DOI: 10.1016/j.jclinepi.2019.07.003

Abstract: BACKGROUND In order for authors of systematic reviews to address missing data in randomized controlled trials (RCTs), they need to first identify the number of trial participants with missing data. OBJECTIVE To provide guidance for… read more here.

Keywords: outcome data; identify participants; guidance; missing data ... See more keywords

Missing Outcome Data in Epidemiologic Studies.

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1 Published in 2022 at "American journal of epidemiology"

DOI: 10.1093/aje/kwac179

Abstract: Missing data are pandemic and a central problem for epidemiology. Missing data reduce precision and can cause notable bias. There remain too few simple published examples detailing types of missing data and illustrating their possible… read more here.

Keywords: missing random; outcome data; missing data; data epidemiologic ... See more keywords

Improving reporting of ICU outcome data

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1 Published in 2019 at "Acta Anaesthesiologica Scandinavica"

DOI: 10.1111/aas.13514

Abstract: Clinical studies reporting outcomes after intensive care admissions are often published, including in this journal 1 . This is a field with much research activity, and with widespread clinical interest. For observational cohort studies, it… read more here.

Keywords: reporting icu; icu outcome; improving reporting; outcome data ... See more keywords

Power difference in a χ2 test vs generalized linear mixed model in the presence of missing data – a simulation study

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1 Published in 2020 at "BMC Medical Research Methodology"

DOI: 10.1186/s12874-020-00936-w

Abstract: Longitudinal randomized controlled trials (RCTs) often aim to test and measure the effect of treatment between arms at a single time point. A two-sample χ2 test is a common statistical approach when outcome data are… read more here.

Keywords: outcome data; generalized linear; power; test ... See more keywords

Locating unregistered and unreported data for use in a social science systematic review and meta-analysis

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0 Published in 2020 at "Systematic Reviews"

DOI: 10.1186/s13643-020-01376-9

Abstract: Meta-analysts rely on the availability of data from previously conducted studies. That is, they rely on primary study authors to register their outcome data, either in a study’s text or on publicly available websites, and… read more here.

Keywords: primary study; locating unregistered; outcome data; study ... See more keywords

Mapping Outcomes and Registries Used in Current Danish Pharmacoepidemiological Research

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1 Published in 2022 at "Clinical Epidemiology"

DOI: 10.2147/clep.s341480

Abstract: Purpose There is an increasing need for national and international pharmacoepidemiological studies based on high-quality real-world data of which the Danish registries are a valuable source. In lack of a complete overview of which data… read more here.

Keywords: danish registries; quality; outcome data; data sources ... See more keywords

Extending the Austrian National EHR System with Patient-Reported Outcome Data

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0 Published in 2022 at "Studies in health technology and informatics"

DOI: 10.3233/shti220523

Abstract: The Austrian national Electronic Health Record system ELGA is a population-based infrastructure for health data. However, to date, it does not include patient-reported outcomes. In this paper, we describe on-going work on extending ELGA with… read more here.

Keywords: health; patient reported; outcome data; reported outcome ... See more keywords