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# Table 1 References for sample size calculation

Title Primer Concepts Sample size ROT Simulation
Some practical guidelines for effective sample size determination 
Sample size calculations for the design of health studies: a review of key concepts for non-statisticians 
Sample size calculations: basic principles and common pitfalls 
Sample size: how many participants do I need in my research? 
Using effect size–or why the P value is not enough 
Statistics and ethics: some advice for young statisticians 
Separated at birth: statisticians, social scientists and causality in health services research 
Reporting the results of epidemiological studies 
Surgical mortality as an indicator of hospital quality: the problem with small sample size 
Do multiple outcome measures require p-value adjustment? 
The problem of multiple inference in studies designed to generate hypothesis 
Understanding power and rules of thumb for determining sample sizes 
Statistical rules of thumb 
A suggested statistical procedure for estimating the minimum sample size required for a complex cross-sectional study     Complex cross-sectional
A simple method of sample size calculation for liner and logistic regression     Regression
How many subjects does it take to do a regression analysis     Regression
Sample size determination in logistic regression     Logistic regression
A simulation study of the number of events per variable in a logistic regressions analysis     Logistic regression
Power and sample size calculations for studies involving linear regression     Linear regression
How to calculate sample size in randomized controlled trial?     Randomised control trial
Sufficient sample sizes for multilevel modelling     Multilevel
Sample size considerations for multilevel surveys     Multilevel
Sample size and accuracy of estimates in multilevel models: new simulation results     Multilevel
Robustness issues in multilevel regression analysis     Multilevel
1. Primer =  basic paper on the concepts around sample size determination, provides a basic but important understanding. Concepts =  provides a more detailed explanation around specific aspects of sample size calculation. Sample size =  these papers provide examples of sample size calculation for specific analysis types. ROT =  these papers provide sample size ‘rules of thumb’ for one or more type of analysis. Simulation =  these papers report the results of sample size simulation for various types of analysis 