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Table 1 References for sample size calculation

From: When is enough, enough? Understanding and solving your sample size problems in health services research

Title

Primer

Concepts

Sample size

ROT

Simulation

Some practical guidelines for effective sample size determination [2]

   

Sample size calculations for the design of health studies: a review of key concepts for non-statisticians [1]

   

Sample size calculations: basic principles and common pitfalls [15]

   

Sample size: how many participants do I need in my research? [3]

   

Using effect size–or why the P value is not enough [8]

   

Statistics and ethics: some advice for young statisticians [16]

 

   

Separated at birth: statisticians, social scientists and causality in health services research [17]

 

   

Reporting the results of epidemiological studies [9]

 

   

Surgical mortality as an indicator of hospital quality: the problem with small sample size [18]

 

   

Do multiple outcome measures require p-value adjustment? [11]

 

   

The problem of multiple inference in studies designed to generate hypothesis [19]

 

   

Understanding power and rules of thumb for determining sample sizes [20]

 

 

 

Statistical rules of thumb [21]

   

 

A suggested statistical procedure for estimating the minimum sample size required for a complex cross-sectional study [22]

  

Complex cross-sectional

  

A simple method of sample size calculation for liner and logistic regression [23]

  

Regression

 

How many subjects does it take to do a regression analysis [10]

  

Regression

 

Sample size determination in logistic regression [24]

  

Logistic regression

 

A simulation study of the number of events per variable in a logistic regressions analysis [25]

  

Logistic regression

 

Power and sample size calculations for studies involving linear regression [26]

  

Linear regression

 

How to calculate sample size in randomized controlled trial? [27]

  

Randomised control trial

 

Sufficient sample sizes for multilevel modelling [28]

  

Multilevel

 

Sample size considerations for multilevel surveys [29]

  

Multilevel

 

Sample size and accuracy of estimates in multilevel models: new simulation results [30]

  

Multilevel

 

Robustness issues in multilevel regression analysis [31]

  

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