Mid-range : Mid-range, also known as the mid-maximum range, is a measure of central tendency in statistics. It is calculated by taking the average of the highest and lowest values in a dataset. This measure is useful in identifying the “middle” of a dataset and can provide valuable insights into the overall distribution of the […]

Mid P-value : The mid P-value is a statistical concept that is used to evaluate the significance of a hypothesis test. It is calculated by taking the average of the two-sided P-value, which is the probability of obtaining a test statistic that is at least as extreme as the one observed, given that the null […]

Microdata : Microdata is a term used to refer to the individual observations or records in a dataset. These observations typically consist of multiple variables or pieces of information about a single entity, such as an individual person, household, or business. One example of microdata would be a dataset containing information about the employment status, […]

Microarrays : Microarrays are a type of technology used in molecular biology that allows for the simultaneous analysis of thousands of genes or other genetic elements. This technology has revolutionized the field of genomics and has been used in various applications such as gene expression profiling, SNP genotyping, and genome-wide association studies. One example of […]

Mendelian randomization : M-estimators are a type of estimator in statistics that are defined by their robustness to outliers in the data. In other words, M-estimators are designed to produce accurate estimates even when the data contains a few unusually large or small values that might otherwise throw off the results. One of the most […]

Meiotic mapping : Meiotic mapping is a method used to study the order and location of genes on a chromosome. It involves observing the segregation patterns of genetic markers during meiosis, the process of cell division in which gametes (sperm or egg cells) are formed. This allows researchers to determine the distance between genes on […]

Method of moments : The method of moments is a statistical technique that uses sample data to estimate the parameters of a population distribution. It is a useful tool for researchers and analysts who want to make inferences about a population based on a sample. To understand the method of moments, it is helpful to […]

Meta regression : Meta regression is a statistical technique used to analyze the results of previous research studies in order to identify factors that may have influenced the results. This type of analysis can be helpful in understanding the reasons behind inconsistencies or variations in study results, and can provide valuable insights for future research. […]

Meta-analysis : Meta-analysis is a statistical method used to combine the results of multiple studies in order to obtain a more precise estimate of the effect of an intervention or exposure. This is done by pooling the data from the different studies and using statistical techniques to calculate a summary estimate of the effect size. […]

Mega-trial : A mega-trial, also known as a large simple trial, is a type of clinical trial that involves a very large number of participants. These trials are often conducted to evaluate the effectiveness of a particular treatment or intervention, and they are typically designed to provide a high level of statistical power, which means […]