Analysis of covariance and standardization as instances of prediction.
By P. Lane, John A. Nelder. 1982
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- Brian R. Cullis
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Citations in the corpus
- Standardization and Control for Confounding in Observational Studies: A Historical Perspective (2015, methodology): “This general strategy of stratifying until the theoretical variance had been achieved, eliminating any residual heterogeneity beyond the basic binomial variation, was heavily influenced by the then current attempts by Quetelet and Lexis in identifying homogeneous subgroups in data from social statis”
- Transportability across studies: A formal approach (2011, background): “(1) may be regarded as a routine application of “standardization” – a statistical extrapolation method that can be traced back to a century-old tradition in demography and political arithmetic (Westergaard, 1916; Yule, 1934; Lane and Nelder, 1982; Cole and Stuart, 2010).”
- Walking and dementia in physically capable elderly men. (2004, methodology): “To describe the association between walking and dementia, estimates of the age-adjusted incidence of dementia are provided across ranges of distance walked based on standard analysis of covariance methods and logistic regression models.(27,28) Similar procedures were used to describe the association”
- Spontaneous preterm delivery in primiparous women at low risk in Denmark: population based study (2006, methodology): “On the basis of the fitted Poisson model, we used marginal standardization (also called predictive margins) (29, 30) to estimate the adjusted total cancer rates and the prevalence of large, advanced-stage, high-grade tumors with lymph node involvement per 1000 mammograms by racial and ethnic group.”
- Prediction in linear mixed models (2004, background): “This issue must be clarified to extend the prediction for linear models by Lane & Nelder (1982) to a linear mixed model context.”
- Association of olfactory dysfunction with risk for future Parkinson's disease (2008, methodology): “Crude and age-adjusted incidence rates of PD per 10,000 person-years of follow-up were estimated across approximate quartiles of odor identification scores (based on the best balance of sample size) using standard analysis of covariance procedures.(19) Scores in the first, second, third, and fourth ”
- Multiple randomizations (2006, background): “Although we agree that this is an important distinction, we contend that is independent of tiers and is relevant for prediction (in the sense of Lane and Nelder (1982)), rather than for model fitting and selection.”
- ASREML user guide release 1.0 (2002, methodology): “10.3 Prediction Underlying principles Our approach to prediction is a generalization of that of Lane and Nelder (1982) who consider fixed effects models.”
- Conditional and Marginal Models: Another View (2004, background): “As John Nelder pointed out many years ago in a paper with Peter Lane, prediction is a different purpose to estimation and you do not have toestimate directly analogous quantities to those which you wish topredict (Lane and Nelder, 1982).”