Regression Methods in Biostatistics: Linear, Logistic, Survival and Repeated Measures Models

By Richard Goldstein. Technometrics, 2006

1,037 citations recorded by the source corpus.

Subfields: Health Information Management, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b78680bde4322c6ed912e355756cc30917521200

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Citations in the corpus

Assessing the performance of prediction models: a framework for some traditional and novel measures (2010, background): “Overall Performance Measures From a statistical modeler’s perspective, the distance between the predicted outcome and actual outcome is central to quantifying overall model performance.(32) The distance is Y–Ŷ for continuous outcomes.”
Practice of Epidemiology Propensity Score Methods for Analyzing Observational Data Like Randomized Experiments: Challenges and Solutions for Rare Outcomes and Exposures (2015, methodology): “In the inverse probability of treatment weighting method, the primary analysis, we used weights based on the propensity score on the probability scale for the ith child, ei, where exposed children received a weight of 1, and unexposed children received a weight of ei/(1 − ei) (14, 18, 19).”
Maximum Likelihood and Firth Logistic Regression of the Pedestrian Route Choice (2017, methodology): “The exact method is computationally very intensive and thus, infeasible for more than one predictor or when the sample size exceeds 100 (Vittinghoff et al. 2012).”
Evidence of three growth stanzas in rainbow trout (Oncorhynchus mykiss) across life stages and adaptation of the thermal-unit growth coefficient (2007, neutral): “The least squares technique (Vittinghoff et al., 2005), aimed at minimizing the residual sum of squares (RSS), was used to optimize the weight exponent 1−b within each growth stanza for each fish lot and improve the goodness of fit of the TGCmodel.”
Research Commentary - Too Big to Fail: Large Samples and the p-Value Problem (2013, background): “…like the probit, one has to specify whether an effect size is being calculated Table 2 Interpreting Effect Sizes for Common Regression Models (Vittinghoff et al. 2005) Functional form Effect size interpretation (where (cid:130) is the coefﬁcient) The odds of Y = 1 at x = 1 are higher than at…”
Standardizing fishery-dependent catch and effort data in complex fisheries with technology change (2006, background): “…look for evidence of confounding (the sign of the coefficient is wrong, the magnitude is strange, the standard errors are large, or the value jumps markedly when the model formulation is changed slightly; for examples, see Leamer 1978; Draper and Smith 1981, Chapter 8; Vittinghoff et al. 2005).”
Subclinical Hypothyroidism and the Risk of Coronary Heart Disease and Mortality (2010, background): “Whickham Survey,17,18 1996, 2010 Adults living in and near Newcastle upon Tyne, England 2406 46 (18-92) 1284 (53.”
Prevalence of nonpolypoid (flat and depressed) colorectal neoplasms in asymptomatic and symptomatic adults. (2008, background): “Diameter, mean (range), mm 9 (3-40) 9 (2-20) 6 (1-70) 6 (1-25) 4 (1-50)”