Odds and risk Odds ratio as an approximation of relative riskTalfryn, HuwDavies, OakleyCrombie, KinlochDavies, Huw T. O., Ian K. Crombie, & Manouche Tavakoli (1998) "Information in Practice: When Can Odds Ratios Mislead?," 316 British Medical J. 989-91....
We consider two basic, but very important, problems in statistical practice, namely interval estimation for a binomial proportion and comparison between two proportions with respect to one of the commonly used measures, the log odds ratio. For the first problem, the unreliability of the Wald statis...
Does fear of serious disease predict consulting behaviour amongst patients with dyspepsia in general practice? However, the only independent predictors of previous health care utilization were frequent dyspepsia (odds ratio (OR) = 2.17), pain-related anxiety (OR =... S Howell,NJ Talley - 《Europe...
What does the odds ratio estimate in a case-control study? The use of the term 'odds ratio' in reporting the findings of case-control studies is technically correct, but is often misleading. The meaning of the odds... N,Pearce - 《International Journal of Epidemiology》 被引量: 255发表:...
Analysis of binary matched pairs data is problematic due to infinite maximum likelihood estimates of the log odds ratio and potentially biased estimates, e
Our roulette odds guide explains how to calculate the payouts for each bet, why odds for roulette bets differ depending on the variant & more
Pattern mining techniques are helpful tools when extracting new knowledge in real practice, but the overwhelming number of patterns is still a limiting factor in the health-care domain. Current efforts concerning the definition of measures of interest fo
Oddly, male sex was associated with masked hypertension (odds ratio 1.47, 95% CI 1.18 to 1.75), whereas white coat hypertension (3.38, 1.64 to 6.96) was strongly associated with female sex. To investigate the pattern of cognitive ... None - BMJ 被引量: 0发表: 2015年 Quantum Physics, Ne...
In the model, when comparing two (or more) tests, each test has its own trend of ORs across studies, while the trends of two tests are (assumed to be) proportional to each other, the "proportional odds ratio" assumption. We alleviate dilemma of choosing weighting schemes such that do ...
In the model, when comparing two (or more) tests, each test has its own trend of ORs across studies, while the trends of two tests are (assumed to be) proportional to each other, the "proportional odds ratio" assumption. We alleviate dilemma of choosing weighting schemes such that do ...