scholarly journals Correction to: Minimum sample size for developing a multivariable prediction model: Part II‐binary and time‐to‐event outcomes by Riley RD, Snell KI, Ensor J, et al.

2019 ◽  
Vol 38 (30) ◽  
pp. 5672-5672
Author(s):  
Richard D. Riley
Keyword(s):  
Prediction Model ◽  
Sample Size ◽  
Minimum Sample Size ◽  
Time To Event ◽  
Minimum Sample

scholarly journals Minimum sample size for developing a multivariable prediction model: PART II - binary and time-to-event outcomes

2018 ◽  
Vol 38 (7) ◽  
pp. 1276-1296 ◽  
Author(s):  
Richard D Riley ◽  
Kym IE Snell ◽  
Joie Ensor ◽  
Danielle L Burke ◽  
Frank E Harrell Jr ◽  
...  
Keyword(s):  
Prediction Model ◽  
Sample Size ◽  
Minimum Sample Size ◽  
Time To Event ◽  
Minimum Sample

scholarly journals Minimum sample size for external validation of a clinical prediction model with a binary outcome

2021 ◽  
Author(s):  
Richard D. Riley ◽  
Thomas P. A. Debray ◽  
Gary S. Collins ◽  
Lucinda Archer ◽  
Joie Ensor ◽  
...  
Keyword(s):  
Prediction Model ◽  
Sample Size ◽  
External Validation ◽  
Minimum Sample Size ◽  
Binary Outcome ◽  
Clinical Prediction ◽  
Clinical Prediction Model ◽  
Minimum Sample

scholarly journals Minimum sample size for external validation of a clinical prediction model with a continuous outcome

2020 ◽  
Vol 40 (1) ◽  
pp. 133-146 ◽  
Author(s):  
Lucinda Archer ◽  
Kym I. E. Snell ◽  
Joie Ensor ◽  
Mohammed T. Hudda ◽  
Gary S. Collins ◽  
...  
Keyword(s):  
Prediction Model ◽  
Sample Size ◽  
External Validation ◽  
Minimum Sample Size ◽  
Clinical Prediction ◽  
Clinical Prediction Model ◽  
Continuous Outcome ◽  
Minimum Sample

scholarly journals Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes

2018 ◽  
Vol 38 (7) ◽  
pp. 1262-1275 ◽  
Author(s):  
Richard D. Riley ◽  
Kym I.E. Snell ◽  
Joie Ensor ◽  
Danielle L. Burke ◽  
Frank E. Harrell ◽  
...  
Keyword(s):  
Prediction Model ◽  
Sample Size ◽  
Minimum Sample Size ◽  
Continuous Outcomes ◽  
Minimum Sample

Minimum Sample Size of Kidney Biopsies for Semiquantitative and Quantitative Evaluation

Nephron ◽  
1983 ◽  
Vol 34 (3) ◽  
pp. 192-195 ◽  
Author(s):  
M. Oberholzer ◽  
J. Torhorst ◽  
E. Perret ◽  
M.J. Mihatsch
Keyword(s):  
Sample Size ◽  
Quantitative Evaluation ◽  
Minimum Sample Size ◽  
Minimum Sample

scholarly journals Methods and Rule-of-Thumbs in The Determination of Minimum Sample Size When Appling Structural Equation Modelling: A Review

2020 ◽  
Vol 15 ◽  
pp. 102-107
Author(s):  
Hunuwala Malawarage Suranjan Priyanath ◽  
Ranatunga RVSPK ◽  
Megama RGN
Keyword(s):  
Structural Equation Modeling ◽  
Sample Size ◽  
Structural Equation ◽  
Sample Size Determination ◽  
Equation Modeling ◽  
Minimum Sample Size ◽  
Research Project ◽  
Rules Of Thumb ◽  
Minimum Sample

Basic methods and techniques involved in the determination of minimum sample size at the use of Structural Equation Modeling (SEM) in a research project, is one of the crucial problems faced by researchers since there were some controversy among scholars regarding methods and rule-of-thumbs involved in the determination of minimum sample size when applying Structural Equation Modeling (SEM). Therefore, this paper attempts to make a review of the methods and rule-of-thumbs involved in the determination of sample size at the use of SEM in order to identify more suitable methods. The paper collected research articles related to the sample size determination for SEM and review the methods and rules-of-thumb employed by different scholars. The study found that a large number of methods and rules-of-thumb have been employed by different scholars. The paper evaluated the surface mechanism and rules-of-thumb of more than twelve previous methods that contained their own advantages and limitations. Finally, the study identified two methods that are more suitable in methodologically and technically which have identified by non-robust scholars who deeply addressed all the aspects of the techniques in the determination of minimum sample size for SEM analysis and thus, the prepare recommends these two methods to rectify the issue of the determination of minimum sample size when using SEM in a research project.

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