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Modern Applied Statistics With S

On applique la methode d'Efron (1981, 1982) a la construction d'intervalles de confiance bases sur des distributions du bootstrap

Nonparametric estimation of the number of classes in a population

https://www.gastrojournal.org/article/S0016-5085(06)00508-7/pdf

Functional gastroduodenal disorders

Standard survival data measure the time span from some time origin until the occurrence of one type of event. If several types of events occur, a model describing progression to each of these competing risks is needed. Multi-state models generalize competing risks models by also describing transitions to intermediate events. Methods to analyze such models have been developed over the last two decades. Fortunately, most of the analyzes can be performed within the standard statistical packages, but may require some extra effort with respect to data preparation and programming. This tutorial aims to review statistical methods for the analysis of competing risks and multi-state models. Although some conceptual issues are covered, the emphasis is on practical issues like data preparation, estimation of the effect of covariates, and estimation of cumulative incidence functions and state and transition probabilities. Examples of analysis with standard software are shown.

/pdf/tutorial-in-biostatistics-competing-risks-and-multi-state-tg28odevkn.pdf

Tutorial in biostatistics: competing risks and multi-state models.

Background Previous studies have relied predominantly on the body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) to assess the association of adiposity with the risk of death, but few have examined whether the distribution of body fat contributes to the prediction of death. Methods We examined the association of BMI, waist circumference, and waist-to-hip ratio with the risk of death among 359,387 participants from nine countries in the European Prospective Investigation into Cancer and Nutrition (EPIC). We used a Cox regression analysis, with age as the time variable, and stratified the models according to study center and age at recruitment, with further adjustment for educational level, smoking status, alcohol consumption, physical activity, and height. Results During a mean follow-up of 9.7 years, 14,723 participants died. The lowest risks of death related to BMI were observed at a BMI of 25.3 for men and 24.3 for women. After adjustment for BMI, waist circumfer...

/pdf/general-and-abdominal-adiposity-and-risk-of-death-in-europe-2pxaqcqrgg.pdf

General and abdominal adiposity and risk of death in Europe.

Two methods are given for the joint estimation of parameters in models for competing risks in survival analysis. In both cases Cox's proportional hazards regression model is fitted using a data duplication method. In principle either method can be used for any number of different failure types, assuming independent risks. Advantages of the augmented data approach are that it limits over-parametrisation and it runs immediately on existing software. The methods are used to reanalyse data from two well-known published studies, providing new insights.

https://www.jstor.org/stable/info/2532940

Applying Cox regression to competing risks

The schedule recording first marriage frequencies has been shown to take the same basic form in different populations, with differences only in the origin, area, and horizontal scale. It is shown here that a representative schedule is very closely approximated by a simple closed form frequency function, which is the limiting distribution of the convolution of an infinite number of exponentially distributed components. The schedule is approximated equally well by the convolution of a normal distribution (of age of entry into a marriageable state) and as few as three exponentially distributed delays. The latter convolution provides a plausible model of nuptiality, a model that receives surprising empirical support.

The Distribution by Age of the Frequency of First Marriage in a Female Cohort

https://www.gastrojournal.org/article/0016-5085(86)90864-4/pdf

Association of anxiety, neuroticism, and depression with dyspepsia of unknown cause. A case-control study.

Interactive Data Analysis

https://www.gastrojournal.org/article/0016-5085(86)90451-8/pdf

Don McNeil

Papers

Applying Cox regression to competing risks

The Distribution by Age of the Frequency of First Marriage in a Female Cohort

Association of anxiety, neuroticism, and depression with dyspepsia of unknown cause. A case-control study.

Interactive Data Analysis

Randomized, double-blind, placebo-controlled crossover trial of cimetidine and pirenzepine in nonulcer dyspepsia*