15 hasil

The development methods of official GRADE articles and requirements for claiming the use of GRADE – A statement by the GRADE guidance group

Holger Jens Schünemann; Sue Brennan; Elie A. Akl dkk.

Journal of Clinical Epidemiology · 2023 · Inggris · OpenAlex Scopus

Handling missing data in clinical research

Martijn W. Heymans; Jos W. R. Twisk

Journal of Clinical Epidemiology · 2022 · Inggris · OpenAlex Scopus

Because missing data are present in almost every study, it is important to handle missing data properly. First of all, the missing data mechanism should be considered. Missing data can be either completely at random (MCAR), at random (MAR), or not at random (MNAR). When missing data are MCAR, a…

GRADE Guidance 34: update on rating imprecision using a minimally contextualized approach

Linan Zeng; Romina Brignardello‐Petersen; Monica Hultcrantz dkk.

Journal of Clinical Epidemiology · 2022 · Inggris · OpenAlex Scopus

OBJECTIVES: The aim of this study is to provide updated guidance on when The Grading of Recommendations Assessment, Development and Evaluation (GRADE) users should consider rating down more than one level for imprecision using a minimally contextualized approach. STUDY DESIGN AND SETTING: Based on…

Tutorial on directed acyclic graphs

Jean Catherine Digitale; Jeffrey N. Martin; M. Maria Glymour

Journal of Clinical Epidemiology · 2021 · Inggris · OpenAlex Scopus

Framework for the treatment and reporting of missing data in observational studies: The Treatment And Reporting of Missing data in Observational Studies framework

Katherine J. Lee; Kate M. Tilling; Rosie Cornish dkk.

Journal of Clinical Epidemiology · 2021 · Inggris · OpenAlex Scopus

Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, particularly in observational research. Importantly, the lack of transparency around methodological decisions is threatening…

GRADE guidelines 32: GRADE offers guidance on choosing targets of GRADE certainty of evidence ratings

Linan Zeng; Romina Brignardello‐Petersen; Monica Hultcrantz dkk.

Journal of Clinical Epidemiology · 2021 · Inggris · OpenAlex Scopus

OBJECTIVE: To provide practical principles and examples to help GRADE users make optimal choices regarding their ratings of certainty of evidence using a minimally or partially contextualized approach. STUDY DESIGN AND SETTING: Based on the GRADE clarification of certainty of evidence in 2017, a…

Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review

Steven W J Nijman; Artuur M. Leeuwenberg; Inés Beekers dkk.

Journal of Clinical Epidemiology · 2021 · Inggris · OpenAlex Scopus

OBJECTIVES: Missing data is a common problem during the development, evaluation, and implementation of prediction models. Although machine learning (ML) methods are often said to be capable of circumventing missing data, it is unclear how these methods are used in medical research. We aim to find…

Clinical prediction models: diagnosis versus prognosis

Maarten van Smeden; Johannes B. Reitsma; Richard D Riley dkk.

Journal of Clinical Epidemiology · 2021 · Inggris · OpenAlex Scopus

GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy

Holger Jens Schünemann; Reem A. Mustafa; Jan Brożek dkk.

Journal of Clinical Epidemiology · 2020 · Inggris · OpenAlex Scopus

GRADE Guidelines 28: Use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks

Farid Foroutan; Gordon Henry Guyatt; Victoria Zuk dkk.

Journal of Clinical Epidemiology · 2020 · Inggris · OpenAlex Scopus

GRADE guidelines: 21 part 2. Test accuracy: inconsistency, imprecision, publication bias, and other domains for rating the certainty of evidence and presenting it in evidence profiles and summary of findings tables

Holger J. Schünemann; Reem A. Mustafa; Jan Brozek dkk.

Journal of Clinical Epidemiology · 2020 · Inggris · OpenAlex Scopus

Conducting high quality scoping reviews-challenges and solutions

Hanan Khalil; Micah D.J. Peters; Andrea C. Tricco dkk.

Journal of Clinical Epidemiology · 2020 · Inggris · OpenAlex Scopus

GRADE Guidelines 30: the GRADE approach to assessing the certainty of modeled evidence—An overview in the context of health decision-making

Jan Brożek; Carlos Canelo‐Aybar; Elie A. Akl dkk.

Journal of Clinical Epidemiology · 2020 · Inggris · OpenAlex Scopus

Cochrane Rapid Reviews Methods Group offers evidence-informed guidance to conduct rapid reviews

Chantelle Garritty; Gerald Gartlehner; Barbara Nußbaumer-Streit dkk.

Journal of Clinical Epidemiology · 2020 · Inggris · OpenAlex Scopus

OBJECTIVES: To develop methods guidance to support the conduct of rapid reviews (RRs) produced within Cochrane and beyond, in response to requests for timely evidence syntheses for decision-making purposes including urgent health issues of high priority. STUDY DESIGN AND SETTING: Interim…

Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

James Thomas; Steve J McDonald; Anna H Noel-Storr dkk.

Journal of Clinical Epidemiology · 2020 · Inggris · OpenAlex Scopus

OBJECTIVES: This study developed, calibrated, and evaluated a machine learning classifier designed to reduce study identification workload in Cochrane for producing systematic reviews. METHODS: A machine learning classifier for retrieving randomized controlled trials (RCTs) was developed (the…