Armitage–Doll multistage model of carcinogenesis
The Armitage–Doll model is a statistical model of carcinogenesis, proposed in 1954 by Peter Armitage and Richard Doll, which suggested that a sequence of multiple distinct genetic events preceded the onset of cancer. The original paper has recently been reprinted with a set of commentary articles.
Attack rate
In epidemiology, the attack rate is the biostatistical measure of frequency of morbidity, the percentage of the population which contracts the disease, in an at risk population. It is used in hypothetical predictions and during actual outbreaks of disease. An at risk population is defined as one that has no immunity to the attacking pathogen which can be either a novel pathogen or an established pathogen. It is used to project the number of victims to expect during an epidemic. This aids in marshalling resources for delivery of medical care as well as production of vaccines and/or antivir ...
Average treatment effect
The average treatment effect is a measure used to compare treatments in randomized experiments, evaluation of policy interventions, and medical trials. The ATE measures the difference in mean outcomes between units assigned to the treatment and units assigned to the control. In a randomized trial, the average treatment effect can be estimated from a sample using a comparison in mean outcomes for treated and untreated units. However, the ATE is generally understood as a causal parameter that a researcher desires to know, defined without reference to the study design or estimation procedure. ...
Barber–Johnson diagram
A Barber–Johnson diagram is a method of presenting hospital statistics combining four different variables in a unique graph, introduced in 1973. The method constructs a scattergram where length of stay, turnover interval, discharges, and deaths per available bed are combined. These four variables have a common relationship between them and their combination in the diagram permitted a new improved way for analyzing efficiency and performance of the hospital sector. The most complete reference about how to construct the diagram could be found in Yates. In this book, the appendix explains in ...
Berkson's paradox
Berksons paradox also known as Berksons bias or Berksons fallacy is a result in conditional probability and statistics which is often found to be counterintuitive, and hence a veridical paradox. It is a complicating factor arising in statistical tests of proportions. Specifically, it arises when there is an ascertainment bias inherent in a study design. The effect is related to the explaining away phenomenon in Bayesian networks, and conditioning on a collider in graphical models. It is often described in the fields of medical statistics or biostatistics, as in the original description of ...
Bland–Altman plot
A Bland–Altman plot in analytical chemistry or biomedicine is a method of data plotting used in analyzing the agreement between two different assays. It is identical to a Tukey meandifference plot, the name by which it is known in other fields, but was popularised in medical statistics by J. Martin Bland and Douglas G. Altman.
ⓘ Medical statistics
 Medical statistics deals with applications of statistics to medicine and the health sciences, including epidemiology, public health, forensic medicine
 Statistics in Medicine is a peer  reviewed statistics journal published by Wiley. Established in 1982, the journal publishes articles on medical statistics
 toxicology, reproduction, immuno  haematology, oncology, medical statistics etc. Its 6 regional medical research centres address themselves to regional health
 Pharmaceutical Statistics Statistical Applications in Genetics and Molecular Biology Statistical Methods in Medical Research Statistics in Biopharmaceutical
 Centre in Headington. The CSM incorporates the Cancer Research UK Medical Statistics Group MSG Oxford Clinical Trial Research Unit statisticians and
 In descriptive statistics summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as
 Medical debt refers to debt incurred by individuals due to health care costs and related expenses. Medical debt is different from other forms of debt
 statistical fallacy. The false statistics trap can be quite damaging for the quest for knowledge. For example, in medical science, correcting a falsehood
 processing Jurimetrics law Medical statistics Political science Psychological statistics Reliability engineering Social statistics Statistical mechanics In
Armitage–Doll multistage model of car .. 

Attack rate 
Average treatment effect 
Barber–Johnson diagram 

Berkson's paradox 

Bland–Altman plot 

Blinded experiment 

Cancer cluster 
Ceiling effect (statistics) 
Clinical endpoint 
Clinical study design 

Clinical trial 
Cohen's h 
Companion diagnostic 

Design effect 

Diagnostic and Statistical Manual of .. 

Diagnostic odds ratio 
Economic epidemiology 

Effect Model law 
Experimental event rate 
Generalizing the local average treatm .. 

Generation R 
Guidances for statistics in regulator .. 

Hazard ratio 
Health care analytics 
Health indicator 
Healthy user bias 

Heart rate variability 

Incidence (epidemiology) 
Interim analysis 
Lead time bias 

Length time bias 
Likelihood ratios in diagnostic testing 
List of Guidances for Statistics in R .. 
Matching (statistics) 
Mathematical modelling of infectious .. 
Measuring attractiveness by a categor .. 

Minimal important difference 

Mortality rate 
Multiple of the median 

Number needed to harm 

Number needed to treat 
Number needed to vaccinate 

Odds ratio 
Ordered subset expectation maximization 
Passing–Bablok regression 
Post hoc analysis 
Pre and posttest probability 

Prevalence 
Preventable fraction among the unexposed 