<p><sup>1</sup> Variables are right-hand side (rhs) variables of the best-fitting model. Variables include: <i>A</i> denoting age (in years), <i>L</i> denoting lifespan (in years), <i>C</i> denoting contemporary aggregate size, <i>Λ</i> denoting lifespan aggregate size, <i>F</i> denoting sex, and <i>H</i> denoting historical time (i.e., indicated by a specific year). Coefficient <i>β</i> denotes a regression coefficient of the respective best-fitting model, <i>SE(β)</i> denotes the standard error of <i>β</i>, <i>z</i> denotes a specific <i>z</i>-ratio calculated with <i>z = β/SE(β)</i>, and <i>P(|z</i>|) denotes a respective probability of <i>|z|</i>.</p
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
<p>Multivariate logistic regression analysis of clinical factors associated with mortality.</p
<p><sup>1</sup> As in the footnote of <a href="http://www.plosone.org/article/info:doi/10.1371/journ...
<p>(<b>A</b>) Theoretical population survival curves from the DLS model as the mean and standard dev...
<p><sup>1</sup> As in the footnote of <a href="http://www.plosone.org/article/info:doi/10.1371/journ...
In survival analysis recurrent event times are often observed on the same subject. These event times...
<p>The figure shows predicted survival probabilities associated with the best-ranked growth-mortalit...
Standardized coefficients of the main variables on men’s death rates, based on models from Tables 1 ...
Univariable and multivariable logistic regression analysis of factors associated with mortality in t...
<p>Unstandardized coefficients from the fixed effects models of life expectancy regressed on interac...
In this paper, we apply logistic regression models to measure genetic association with human surviva...
<p>Multivariate logistic regression analysis of the probability of cardiac death by RT, adjusted by ...
Long run multipliers of the standardized coefficients of the main variables on death rates, based on...
In this paper, we apply logistic regression models to measure genetic association with human surviva...
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
<p>Multivariate logistic regression analysis of clinical factors associated with mortality.</p
<p><sup>1</sup> As in the footnote of <a href="http://www.plosone.org/article/info:doi/10.1371/journ...
<p>(<b>A</b>) Theoretical population survival curves from the DLS model as the mean and standard dev...
<p><sup>1</sup> As in the footnote of <a href="http://www.plosone.org/article/info:doi/10.1371/journ...
In survival analysis recurrent event times are often observed on the same subject. These event times...
<p>The figure shows predicted survival probabilities associated with the best-ranked growth-mortalit...
Standardized coefficients of the main variables on men’s death rates, based on models from Tables 1 ...
Univariable and multivariable logistic regression analysis of factors associated with mortality in t...
<p>Unstandardized coefficients from the fixed effects models of life expectancy regressed on interac...
In this paper, we apply logistic regression models to measure genetic association with human surviva...
<p>Multivariate logistic regression analysis of the probability of cardiac death by RT, adjusted by ...
Long run multipliers of the standardized coefficients of the main variables on death rates, based on...
In this paper, we apply logistic regression models to measure genetic association with human surviva...
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
<p>Univariate logistic regression models for the prediction of 30-day mortality with baseline RSI, p...
<p>Multivariate logistic regression analysis of clinical factors associated with mortality.</p