S tatistical analysis is an importanttool in experimental research and isessential for the reliable interpreta-tion of experimental results. It is essential that statistical design should be considered at the very beginning of a research project, not merely as an afterthought. For example if the sample size for an experi-ment only allows for an underpowered statistical analysis, then the interpretation of the experiment will have to be limited. An experiment cannot be reverse engi-neered to become more statically signifi-cant, although experiments can of course be repeated independently to account for biological variation (see section on techni-cal versus biological replicates below)
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
In their paper By way of full disclosure, the first author of this commentary provided to the autho...
For obtaining causal inferences that are objective, and therefore have the best chance of revealing ...
Statistics is essential to design experiments and interpret experimental results. Inappropriate use ...
The three commentators on my paper agree that statistical tests are often improperly used by researc...
Data are often combined across multiple studies, sites, strata or phases of data collection, for a v...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
Summary: Experimental design requires estimation of the sample size required to produce a meaningful...
In this commentary, we offer a perspective on the problem of authors reporting and interpreting effe...
This Formal Comment responds to Jordan et al., and stresses that if scientific findings are to be ro...
As a natural experiment, random inheritance of alleles promises to allow unveiling causal effects of...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Medical research is the systematic, rigorous investigation of health-related problems in order to ge...
I T frequently happens that a statistician asked to assist in drawing conclusions from the results o...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
In their paper By way of full disclosure, the first author of this commentary provided to the autho...
For obtaining causal inferences that are objective, and therefore have the best chance of revealing ...
Statistics is essential to design experiments and interpret experimental results. Inappropriate use ...
The three commentators on my paper agree that statistical tests are often improperly used by researc...
Data are often combined across multiple studies, sites, strata or phases of data collection, for a v...
In spite of the widespread use of significance testing in empirical research, its interpretation and...
Summary: Experimental design requires estimation of the sample size required to produce a meaningful...
In this commentary, we offer a perspective on the problem of authors reporting and interpreting effe...
This Formal Comment responds to Jordan et al., and stresses that if scientific findings are to be ro...
As a natural experiment, random inheritance of alleles promises to allow unveiling causal effects of...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
Medical research is the systematic, rigorous investigation of health-related problems in order to ge...
I T frequently happens that a statistician asked to assist in drawing conclusions from the results o...
Comments on Rodgers (2010a, 2010b) and Robinson and Levin (2010) are presented. Rodgers (2010a) init...
The overall purpose of the 'Statistical Points and Pitfalls' series is to help readers and researche...
In their paper By way of full disclosure, the first author of this commentary provided to the autho...
For obtaining causal inferences that are objective, and therefore have the best chance of revealing ...