Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome

Calculating the power to examine treatment-covariate interactions when planning an individual participant data meta-analysis of randomized trials with a binary outcome

Before embarking on an individual participant data meta-analysis (IPDMA) project, researchers and funders need assurance it is worth their time and cost. This should include consideration of how many studies are promising their IPD and, given the characteristics of these studies, the power of an IPD...

Cur síos iomlán

Sonraí bibleagrafaíochta
Príomhchruthaitheoirí:	Riley, RD, Hattle, M, Collins, GS, Whittle, R, Ensor, J
Formáid:	Journal article
Teanga:	English
Foilsithe / Cruthaithe:	Wiley 2022

Míreanna comhchosúla

Calculating the power of a planned individual participant data meta-analysis of randomised trials to examine a treatment-covariate interaction with a time-to-event outcome
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2023)

Calculating the power of a planned individual participant data meta‐analysis to examine prognostic factor effects for a binary outcome
de réir: Whittle, R, et al.
Foilsithe / Cruthaithe: (2024)

Simulation-based power calculations for planning a two-stage individual participant data meta-analysis
de réir: Joie Ensor, et al.
Foilsithe / Cruthaithe: (2018-05-01)

Risk of bias assessments in individual participant data meta-analyses of test accuracy and prediction models: a review shows improvements are needed
de réir: Levis, B, et al.
Foilsithe / Cruthaithe: (2023)

Minimum sample size for external validation of a clinical prediction model with a binary outcome
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2021)

A note on estimating the Cox-Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a binary outcome
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2020)

External validation of clinical prediction models: simulation-based sample size calculations were more reliable than rules-of-thumb
de réir: Snell, KIE, et al.
Foilsithe / Cruthaithe: (2021)

Penalization and shrinkage methods produced unreliable clinical prediction models especially when sample size was small
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2020)

Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2021)

Minimum sample size for external validation of a clinical prediction model with a continuous outcome
de réir: Archer, L, et al.
Foilsithe / Cruthaithe: (2020)

Diagnostics of fitted binary logistic regression model based on individual subjects and covariate patterns
de réir: Sarkar, S. K., et al.
Foilsithe / Cruthaithe: (2010)

Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?
de réir: Thomas P A Debray, et al.
Foilsithe / Cruthaithe: (2013-01-01)

Developing clinical prediction models when adhering to minimum sample size recommendations: the importance of quantifying bootstrap variability in tuning parameters and predictive performance
de réir: Martin, GP, et al.
Foilsithe / Cruthaithe: (2021)

Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis
de réir: van der Windt, DA, et al.
Foilsithe / Cruthaithe: (2019)

Calculating the sample size required for developing a clinical prediction model
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2020)

Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review
de réir: Dhiman, P, et al.
Foilsithe / Cruthaithe: (2023)

Stability of clinical prediction models developed using statistical or machine learning methods
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2023)

On the calculation of covariant expressions for Dirac bilinears
de réir: M. A. Olpak, et al.
Foilsithe / Cruthaithe: (2021-09-01)

Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes
de réir: Riley, R, et al.
Foilsithe / Cruthaithe: (2018)

The impact of adjustment for covariates on meta-analysis of randomised intervention studies for binary outcome
de réir: Yu, L
Foilsithe / Cruthaithe: (2015)

Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
de réir: Pate, A, et al.
Foilsithe / Cruthaithe: (2023)

Evaluation of clinical prediction models (part 2): how to undertake an external validation study
de réir: Riley, RD, et al.
Foilsithe / Cruthaithe: (2024)

Effects of mechanical interventions in the management of knee osteoarthritis: protocol for an OA Trial Bank systematic review and individual participant data meta-analysis
de réir: Erin M Macri, et al.
Foilsithe / Cruthaithe: (2021-02-01)

Planning a method for covariate adjustment in individually-randomised trials: a practical guide
de réir: Morris, TP, et al.
Foilsithe / Cruthaithe: (2022)

Planning a method for covariate adjustment in individually randomised trials: a practical guide
de réir: Tim P. Morris, et al.
Foilsithe / Cruthaithe: (2022-04-01)

Expression variation and covariation impair analog and enable binary signaling control
de réir: Kyle M Kovary, et al.
Foilsithe / Cruthaithe: (2018-05-01)

A Binary Choice Model with Sample Selection and Covariate-Related Misclassification
de réir: Jorge González Chapela
Foilsithe / Cruthaithe: (2022-03-01)

Estimation of covariance components between one continuous and one binary trait
de réir: Schaeffer LR, et al.
Foilsithe / Cruthaithe: (1989-11-01)

Open science practices need substantial improvement in prognostic model studies in oncology using machine learning
de réir: Collins, GS, et al.
Foilsithe / Cruthaithe: (2023)

Application of nuclear data covariance matrices to representativity calculations
de réir: Grimaldi Federico, et al.
Foilsithe / Cruthaithe: (2024-01-01)

The dissociative subtype of PTSD in trauma-exposed individuals: a latent class analysis and examination of clinical covariates
de réir: Aljosha Deen, et al.
Foilsithe / Cruthaithe: (2022-07-01)

Predictors of the effects of treatment for shoulder pain: protocol of an individual participant data meta-analysis
de réir: Danielle A. van der Windt, et al.
Foilsithe / Cruthaithe: (2019-08-01)

COVID-19 prediction models should adhere to methodological and reporting standards
de réir: Collins, GS, et al.
Foilsithe / Cruthaithe: (2020)

Flaws in the development and validation of a covid-19 prediction model
de réir: Collins, GS, et al.
Foilsithe / Cruthaithe: (2020)

Methodology of calculation of time reserves when planning the duration of NPP construction
de réir: A. S. Pavlov, et al.
Foilsithe / Cruthaithe: (2024-10-01)

Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis.
de réir: Groenwold, R, et al.
Foilsithe / Cruthaithe: (2012)

Comparison of methods for handling covariate missingness in propensity score estimation with a binary exposure
de réir: Donna L. Coffman, et al.
Foilsithe / Cruthaithe: (2020-06-01)

The quandary of covarying: A brief review and empirical examination of covariate use in structural neuroimaging studies on psychological variables
de réir: Courtland S. Hyatt, et al.
Foilsithe / Cruthaithe: (2020-01-01)

Targeted validation: validating clinical prediction models in their intended population and setting
de réir: Sperrin, M, et al.
Foilsithe / Cruthaithe: (2022)

Calculated covariance matrices for fission product yields using BeoH
de réir: Lovell A. E., et al.
Foilsithe / Cruthaithe: (2023-01-01)